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Students and Alumni

UBC MDS attracts bright minds from a wide range of backgrounds. Find out more about our students and alumni read about what they were doing prior to joining the program, their experience during the program, and their journey ahead.

Vancouver

Employment Status 6 and 12 Months After Graduation

Employment Positions

Data Science Consultant/Contractor Software Engineer
Software Developer/Data Engineer Research and Innovation Intern
Data Scientist Machine Learning Engineer
Data Management Engineer Consultant
Data Manager Technical Business Analyst
Data Engineer Analyst
Data Analyst Faculty, Operations Management
Research Analyst Application Architect
Faculty/Data Analyst in Residence Artificial Intelligence Industry Analyst Intern
Computational Biologist Business Intelligence Engineer
Senior Data Analyst Data Intelligence Platform Analyst
Business Insights Analyst Quantitative Analyst
Manager Finance and Strategy Fraud Modeler
Machine Learning Developer Senior Data Scientist
Director of Data and Technology Specialist of the Department of Analysis and Strategy
Predictive Analyst Machine Learning Developer
Simulation Manager Director, Compensation Data and Research
Associate Director of Marketing Analytics Manager, Visualization and Support

Job Location

Alumni Incomes

Top Industries Worked In

* Based on MDS Vancouver alumni survey responses 6 months and 1 year after graduation since the class of 2017.

Previous Degree

Where Students Come From

Previous Degree Level

Gender Identification

Years Since Last Degree

Class Size

* Based on all MDS Vancouver cohorts since the class of 2017.

Okanagan

Employment Status 6 and 12 Months After Graduation

Employment Positions

Senior Analytics Specialist Data Analyst, Enterprise Business Intelligence Team
Data Science Research Assistant Data Developer
Public Health Epidemiologist Data Analyst
Research Analyst Data visualization analyst
Senior Data Scientist Director Industry AI
Quality Assurance Engineer Machine Learning engineer
Director, Research and Data Science Data Scientist & Engineer
Data Scientist  

Job Location

Alumni Incomes

Top Industries Worked In

* Based on MDS Okanagan alumni survey responses 6 months and 1 year after graduation since the class of 2019.

Previous degree

Geography

Previous Degree Level

Years Since Last Degree

Gender Identification

Class Size

* Based on all MDS Okanagan cohorts since the class of 2019.

Computational Linguistics

Employment Status 6 Months After Graduation

Employment Positions

Data Analyst Developer
Agile Developer Data Scientist
Software Developer Data Science Intern
Business intelligence developer NLP/Deep Learning Engineer
Language Engineer Machine Learning Engineer
NLU Language Consultant Data Engineer
NLP Machine Learning Engineer AI Developer
Data Extraction Developer Marketing Data Scientist
NLP Data Scientist Software Engineer - NLP/NLU
Computational Linguist Senior Data Analyst
Senior AI Engineer Prompt Engineer

Job Location

Alumni Incomes

Top Industries Worked In

* Based on MDS Computational Linguistics alumni survey responses 6 months after graduation since the class of 2020.

Previous Degree

Geography

Previous degree

Years Since Last Degree

Gender Identification

Class Size

* Based on all MDS Computational Linguistics cohorts since the class of 2020.

Student and Alumni Profiles

    All

    Class of 2021

    Ela Bandari Headshot

    Ela Bandari, MDS Vancouver, Class of 2021

    “I decided on MDS because of its 10-month duration, the breadth of topics covered and its focus on community.”

    Previous Degree: Bachelor of Science, Honours in Behavioural Neuroscience (Minor in Biology), University of British Columbia
    Program: MDS Vancouver, Class of 2021

    During my undergraduate degree, I was involved with multiple research projects. In these projects, my favourite stages of the research cycle were experimental design and data analysis. MDS was the perfect opportunity to further my understanding in these topics.

    About Ela Bandari

    Prior to MDS, Bandari completed my B.Sc. in Behavioural Neuroscience with a minor in Biology at UBC. After completing the MDS program, Bandari will be starting medical school at the University of Western Ontario in the fall. Bandari believes MDS has given her a broad knowledge base and technical skillset that will serve her in her future career and put her in a unique position at the intersection of data science and medicine. Outside of MDS, Bandari loves spending time outdoors like doing multi-day backpacking trips. Read Ela’s Story.

    Selma Duric

    Selma Durić, Consultant, Digital Internal Audit at Deloitte

    “One of the greatest strengths of the MDS program is their openness to students from different academic backgrounds.”

    Previous Degree: Bachelor of Business Administration in Accounting and Finance, Simon Fraser University
    Program: MDS Vancouver, Class of 2021

    As a CPA, I believe that I am in a unique role where I have a good understanding of the business needs but also have the strong analytical skills needed for programming and statistics. I consider data science as a tool which can be applied to many different fields and see it as being the path forward to significantly improve the work that accountants do and the analytics and reporting that business operations rely on. 

    About Selma Durić

    Prior to entering the MDS Vancouver program, Selma earned her Bachelor of Business Administration in Accounting and Finance from Simon Fraser University. Selma worked as a senior accountant where much of her accounting work relied on data. It was there Selma realized the potential value she could bring by finding better approaches to working with data. As a long-time Vancouverite, Selma loves spending her time outdoors. When the sun is out, Selma likes to walk/cycle around and explore the different neighbourhoods of Vancouver. Read Selma’s story.

    Celine Liu Computational Linguistics

    Celine Liu, Applied Scientist at Amazon

    The MDS-CL program offers a strong focus on applied NLP, a perfect match for what I was looking for.”

    Previous Degree: Bachelor of Computer Science, University of British Columbia
    Program: MDS Computational Linguistics, Class of 2021

    While working with intelligent systems in the industry and conducting research in the public health domain with text mining techniques, I witnessed the tremendous impact and potential that modern AI could have over solving global societal and business challenges, coming to the realization that NLP models are the foundation towards building a strong AI.

    About Celine Liu

    Celine obtained her Bachelor’s of Computer Science degree from the University of British Columbia. It was during an undergrad internship at Microsoft and Hootsuite that exposed Celine to the world of NLP and machine learning techniques. During the internship, Liu had the opportunity to build Natural Language Processing (NLP)-based machine learning (ML) systems and participated in a text mining research project with a group of public health researchers from UBC and BC Center for Disease Control to understand the landscape of digital public health. With the MDS-CL program now complete, Liu believed it offered here a holistic view of the classic ML models and a variety of language models as well as a great number of skillsets to her toolbox working with not only in NLP but machine learning in general. Read Celine's story.
     

    Rafael Pilliard Hellwig

    Rafael Pillard Hellwig, Data Scientist at Action Against Hunger

    "Coming from a non-STEM background, one of the things that drew me to the MDS is that it has a broad and diverse mission statement for recruitment. This program is known for being diverse, and I continually gain insights from the experiences that my peers bring to the table."

    Previous Degree: Bachelor of Arts, Honours in Law and Political Science, Carleton University
    Prior Experience: Monitoring & Evaluation Lead, USAID Jordan Local Enterprise Support Project
    Program: MDS Vancouver, Class of 2021

    An increasing number of tools now exist that fully automate the machine learning pipeline, such that anyone can fit a powerful model with little to no code. In some ways, that is wonderful because it democratizes the field. But it also opens up the risk that people use AI without understanding their models. This is why for me, a critical function of the data scientists is to interpret and explain. It is about knowing how to frame a problem before crunching the numbers. For anyone worried about the future job market, these human roles are going to be replaced by machines for a long time. With its emphasis on communication, ethics, and extracting knowledge from data, the MDS will give you the technical and critical thinking skills to become a thinking data scientist who can tackle a broad range of problems.

    About Rafael Pilliard Hellwig

    After completing his undergraduate studies in the social sciences, Rafael moved to the Middle East to work in organizational development, sustainability consulting, and economic development. In these roles, a common thread has been that Rafael helped companies and governments make complex data intelligible and accessible. His experience includes leading large-scale enterprise surveys, answering causal questions through quasi-experimental analysis, championing open-data initiatives and corporate transparency, and creating tools that automate the analytics pipeline. After moving back to his hometown of Vancouver in 2019, Rafael focused on helping foreign aid implementers communicate complex concepts through visualization. Rafael chose the MDS Vancouver program to deepen his technical acumen and build a network of like-minded professionals.

    Juan Roesel - MDS Computational Linguistics

    Juan Roesel, Senior Software Engineer - NLP/NLU at LexCheck

    “While several resources on the Internet can help people get the knowledge and skills needed to become a Data Scientist or NLP engineer, I think the structure of the MDS-CL program and the quality of the teaching staff take the learning experience to a higher level.”

    Previous Degree: Masters in International Relations, Field Of Study Development Economics and International Development, Hult International Business School
    Previous Experience: Data Scientist, NLP, Helelab
    Program: MDS Computational Linguistics, Class of 2021

    Back in 2017, I worked as an innovation consultant helping corporations fast-track digital transformation processes by partnering with tech start-ups. Some of these start-ups were using Artificial Intelligence solutions, so I needed to understand them to frame the right integration approach with the businesses' value chains. This experience was an eye-opening moment for me and triggered my decision to transition my career from a non-technical to a technical field.

    About Juan Roesel

    Before joining the MDS-CL program, Juan was working full-time running his consulting firm Helelab, which specialized in delivering and deploying digital solutions that leverage analytics, Natural Language Processing (NLP), and web development. As Juan was taking on more technical projects and learned new concepts, he realized that he was just barely scratching the surface of the data science universe, which led him to apply to the MDS-CL program. Outside of the MDS-CL program, Juan enjoys hiking, sailing, and mountain biking. Read Juan’s story.

    Tanmay Sharma

    Tanmay Sharma, Senior Data Scientist - Machine Learning at Affinitiv Inc.

    “The MDS program has been carefully designed to impart essential data science skills to make individuals job ready.”

    Previous Degree: Master of Science in Computer Science, Santa Clara University
    Previous Experience: Senior Associate – Data Analytics, Tredence Inc.
    Program: MDS Vancouver, Class of 2021

    While I was working with a lot of data and had come to appreciate the bigger picture of data science through my training as a computer scientist, I felt the need for a closer and more rounded hands-on association with the different aspects of the discipline. The MDS program seemed to be a perfect match to help me achieve this goal and advance my career to its next level.

    About Tanmay Sharma

    Sharma started his career as a Hardware Development Engineer of SSD drives at a leading global data storage company. In that role, Sharma’s interest in data science was piqued as he was seeing the explosion of big data and the increase use of machine learning and artificial intelligence across all industries and its profound impact on transforming global businesses. Sharma highly recommend MDS to people looking to initiate or further a career in data science. Read Tanmay's story.

    Rain Shen

    Rain Shen, Data Scientist at Axine Water Technologies

    “The accelerated 10-month learning period will equip you well to get started in a career in data science.”

    Previous Degree: Bachelor of Science in Food Science, from UBC Vancouver
    Program: MDS Okanagan, Class of 2021

    I realized I needed to learn new data analytical techniques to analyze large amount of data. I found myself becoming really interested in data analysis. I was amazed how the data can help solve complex problems in the real world. UBC’s reputation and the opportunity to learn in immersive environment really appealed to me and now that I have come through the program, I have developed the data science skills and learning techniques that will help me step into a data science career.

    About Rain Shen

    Rain obtained Bachelor of Science in Food Science from UBC Vancouver, before moving into a quality assurance coordinator position with a major manufacturing company specializing in geosynthetic and medical products. It was during her time there working with historical data where she fostered a desire to learn new data analytical techniques in order to analyze large amount of data.  Situated in the beautiful Okanagan Valley, the MDS-O program, with its accelerated learning program and intimate cohort, caught Shen’s eye. Having now completed the 10-month program, Shen will be utilizing the knowledge and technical expertise taught in the MDS program on the Okanagan campus to pursue a career related to the health and food industries. Read Rain's story.

    Darya Shyroka - MDS Computational Linguistics

    Darya Shyroka, Language Engineer at Amazon

    “If you are like me and have a passion for languages and an analytical mind, and want to combine those skills to do something really interesting and impactful, then this program is for you.”

    Previous Degree: Bachelor of Arts and Science, Computer Science, University of Toronto
    Program: MDS Computational Linguistics, Class of 2021

    I decided to pursue a career in data science because I wanted to use my programming skills to work with language data. I was always interested in languages and linguistics, but I did not see myself as a translator or language instructor. I have an analytical mind, and I knew that using my skills in mathematics and programming to analyze language could be really interesting. The MDS-CL program seemed like a perfect way for me to merge my skills from both areas. 

    About Darya Shyroka

    After completing her Bachelor of Arts and Science in Computer Science (with a minor in Linguistics) from the University of Toronto, Darya knew she wasn’t quite done with her education. Darya was looking to specialize in a particular area of programming that she would be interested in and it led her to the MDS-CL program and its more immersive computational linguistics curriculum. Outside her MDS-CL studies, Darya loves outdoor activities such as hiking, bike-riding, swimming and camping. Darya also loves reading, watching TV, and cooking (especially trying new recipes!). Read Darya's story.

    Nathan Smith MDS Okanagan

    Nathan Smith, Data Scientist at TerraSense Analytics Ltd.

    “The program was able to quickly get me to a point that would have taken much longer working away on my own time. It provided me with a better understanding of data science in areas I was familiar with and also exposed me to new concepts.”

    Previous Degree: Bachelor of Applied Science in Civil Engineering from UBC Vancouver
    Program: MDS Okanagan, Class of 2021

    I started using interactive data analysis tools and machine learning to support my work. Much of the data science aspects that I had been incorporating in my work were learned during evenings and weekends. I felt that I wasn’t going to get where I wanted to be without diving into a program. Having now completed the program, I feel it has provided me with a strong understanding of concepts that can be better applied in my work.

    About Nathan Smith

    A resident of Squamish, B.C, Smith obtained a Bachelor of Applied Science in Civil Engineering from UBC Vancouver. It was during his time working as a senior water resources engineer where he fostered an interest in further developing his technical skills.  Situated in the beautiful Okanagan Valley, the MDS-O program, with its accelerated learning program and intimate cohort, caught Smith’s eye. Having now completed the 10-month program, Smith will be utilizing the knowledge and technical expertise taught in the MDS program on the Okanagan campus as he continues his career. Read Nathan's story.

    Samuel Velez

    Samuel Vélez, Data Scientist at Square

    “The capstone project is the biggest positive point for the program. It makes you work directly with an industry partner on a real-life project, but you get the program’s supervision and support throughout. It makes you feel prepared for the future.”

    Previous Degree: Bachelor’s degree in Economics from the National University of Colombia
    Program: MDS Okanagan, Class of 2021

    Working in the finance industry, I realized how data can shape the future of industries and companies. I wanted to be part of that and help as much as I could. Having now moved through the MDS-O program, I can say the quality of the program is world-class, the students come from many different industries and backgrounds, and the campus and surrounding areas are beautiful. I recommend it completely.

    About Samuel Velez

    Samuel obtained Bachelor’s degree in Economics from the National University of Colombia, before moving into a career in the world of finance. It was during his time where he discovered how data can shape the future of industries and companies. The MDS-O program, located in in the beautiful Okanagan Valley, offered an accelerated program and intimate cohort, caught Velez’s attention. Now that he has successfully completed the 10-month intensive program, Velez feels more than ready to begin a career where he can help to shape the future. Read Samuel’s story.
     

    Class of 2018

    Jordan Dubchak

    Jordan Dubchak, Data Scientist at Teck Resources Ltd.

    “Having the support of a very dedicated team of instructors along with the environment of your fellow students who have all such different backgrounds is my favorite thing of the program because you're learning so much not only from your instructors and your TA’S but also the people around you because they have different specialized skills.”

    Previous Degree: Bachelor of Science - Biology, University of British Columbia
    Program: MDS Vancouver, Class of 2018

    I took my first computer science course in the last term of my undergraduate degree, which lead to a change in career path. The switch to data science began through self-learning, and my curiosity lead me to the MDS program. I was initially drawn to the program by the accelerated format and believed the structure of the fundamental data science materials would best set me up for success in my new field.  

    About Jordan Dubchak

    Between Jordan’s undergraduate and MDS degrees, Jordan worked as a preschool teacher. Since MDS graduation, Jordan has been working as a consultant for Slalom Consulting - Silicon Valley,  helping Fortune 100 companies solve their data problems. 

    Ted Haley

    Ted Haley, Senior Data Engineer at People Data Labs

    "Coming from a Civil Engineering background, I was initially unsure if the MDS program would benefit me. My uncertainty was quickly put at ease seeing more and more industries leveraging the benefits of Data Science. There is tremendous opportunity to use the skills learned in the MDS program and apply them to solve hard problems in traditionally low-tech industries."

    Previous Degree: Bachelors of Applied Science in Civil Engineering, University of British Columbia
    Prior Experience: RJC Engineers
    Program:  MDS Vancouver, Class of 2018

    I came to the UBC MDS program because I knew that I wanted to learn as much about Data Science as I could and I wanted to broaden my skill set. The UBC MDS program accomplished this by supplying students with world-class educators and by providing engaging labs to apply this theoretical knowledge, in a hands-on environment. I learned a lot this way in the short 10-month program, but I also can attribute this to having helpful and knowledgeable peers, and thought-provoking work. This program attracts brilliant people from all over the globe, and I'm very pleased to have them as friends and potential future colleagues. 

    About Ted Haley

    Ted is a civil engineer with 6 years of experience in construction management and consulting industries. He has experience managing construction projects from minor renovations to multi-billion dollar design-build projects. He hopes to apply his skills from the MDS program in conjunction with his experience from the consulting industry to solve tough problems facing society and industry. Since graduating, Ted is now an applied software and materials engineer with the University of British Columbia where he has developed a data management platform for an automated robotics platform using Python.

    Class of 2017

    Rodrigo Coronado

    Rodrigo Coronado, Director for Advanced Analytics at Avande

    "MDS gave me a great insight into the data science value chain, and provided me with a deep understanding of algorithms, statistical models and development practices."

    Previous Degree: Bachelor of Management Information Systems, Technologico de Monterrey
    Prior Experience: Hewlett Packard, Microsoft
    Program: MDS Vancouver, Class of 2017

    With my background in business and global enterprises, combined with the data science experience I gained in MDS, I’m eager to pursue a strategic role translating the benefits of data science into business value. I’m passionate about how enterprises and society are leveraging artificial intelligence and machine learning—from retailers using AI bots, warehouses powered on AI robots, utility companies forecasting energy demand, hospitals automating triage processes, and researchers predicting heart attacks. I get excited thinking about the possibilities of applying my skills to drive change in industry and in the world.

    About Rodrigo Coronado

    Prior to completing the UBC Master of Data Science program, Rodrigo earned a degree in management information systems. He has a wide range of experience leading delivery teams and international projects and has worked with Hewlett Packard and Microsoft for 18 years in a diverse set of positions in business development, project management, enterprise applications, and global enterprise architecture practices. Rodrigo currently works as the Director of Advanced Analytics for Avanade in Calgary, Alberta.

    Kai He, Data Scientist at BGC Engineering

    Kai He, Data Scientist at BGC Engineering

    "My capstone project involved Natural Language Processing using topic modelling tools, where I learned about not only model and feature selection, but also collaboration, exploratory data analysis process, and much more."

    Previous Degree: Bachelor of Science, University of British Columbia
    Prior Experience: University of British Columbia, Bioinformatics Laboratory
    Program: MDS Vancouver, Class of 2017

    I realized early on in my undergraduate studies that I also have a strong interest in mathematics and computer science. I took many math and algorithm electives while studying Life Sciences, and decided that I'd like to learn more about how to process large amount of raw data, build practical statistical models, and derive insightful and actionable solutions. That's exactly what I learned in this intense, accelerated program. I was trained in data wrangling, machine learning as well as communicating my ideas and insights as a data scientist.

    About Kai He

    Kai has worked in multiple Bioinformatics labs as a data analyst/research assistant. He is currently a Data Scientist at BGC Engineering, where he is applying machine learning techniques to real industrial problems in the field of geoengineering. He believes that this is a new domain with a large amount of data in all forms, such as time series, unstructured text, images, and even 50-year-old paper maps with coffee stains on them. He is learning more everyday and is very excited to find new ways of utilizing all the historical data.

    Nada Salem, MDS Class of 2017

    Nada Salem, Data Scientist at Spotify

    "My goal is to empower management to make better and more informed data driven decisions for the organization."

    Previous Degree: Bachelor of Science in Business Administration, Carnegie Mellon University
    Prior Experience: EY
    Program: MDS Vancouver, Class of 2017

    My background as a management consultant as well as my MDS degree have made me aware of the value a data scientist can drive from large amounts of information already present inside an institution. This program has allowed me to amass a large amount of skills that extend from data wrangling and visualization to training machine learning models and algorithms.

    About Nada Salem

    Nada has 2 years of experience as a management consultant and has worked on solving business problems through structured and data-based analyses to improve client performance. Prior to being a consultant, Nada completed a degree in business administration with a focus on marketing analytics. With a passion in Behavioral Economics, Nada’s thesis analyzed and classified consumer risk-taking behavior using a wide range of features collected from various data sources. After graduating from the MDS program, Nada worked as a data scientist with Microsoft and is now currently working as a data science with Spotify in New York City.

    Nasim Taba

    Nasim Taba, Data Scientist at BC Stats

    "I am excited to participate fully in the sweeping changes in data science, and the ideal next step is to use my MDS knowledge for social good. I am interested in exploring factors that contribute to youth homelessness; using hard data to shed light on social patterns may help alleviate problems of teenagers and their families."

    Previous Degree: Master of Management Sciences, University of Waterloo
    Prior Experience: Deloitte
    Program: MDS Vancouver, Class of 2017

    In the MDS program, I learned to extract and analyze data from both unstructured and structured forms and communicate the findings to enable organizations to make informed decisions based on data. We were well trained in Python, R, and SQL. Projects included working with both structured and non-structured data; data cleaning and imputation; applying cleaned data to various machine learning models to provide multivariate assessments, classification and prediction; visualizing data using Matplotlib, Shiny app and ggplot.

    About Nasim Taba

    Nasim Taba has more than 4 years of management consulting experience gained through her career at Deloitte IT Consulting. With experience in implementing small and large scale IT project implementations for Fortune 500 and 1000 companies, Nasim has experience working throughout the entire project lifecycle. From managing JAD sessions with stakeholders, developing functional design and specifications to quality and transformation requirements to developing test cases for highly complex projects, she has also simultaneously managed project staff and resources to ensure all milestones are delivered on time and within budget.

    Subi Zhang

    Subi Zhang, Data Science Consultant at Deloitte

    "My passion is to understand and empower business through data science approaches."

    Previous Degree: Bachelor of Management, Beijing Forestry University
    Prior Experience: Xiaomi, Publicis Media
    Program: MDS Vancouver, Class of 2017

    Two years ago, I decided to make a bold career change moving from human resources into data analysis. I made it happen through the UBC MDS program. MDS helped me gain the knowledge and skill sets required as a data science professional. The final capstone project was amazing: I obtained hands-on industrial experience on real-world data science problems in a collaborative manner. As an international student, I also felt MDS provided an excellent immersive environment that greatly improved my English in a short period of time.

    About Subi Zhang

    Subi is a self-motivated learner who keeps extending her career through her curiosity for business and technology. She started her career as a technical recruiter at Xiaomi supporting the advertising algorithm team, where she got in-depth exposure to multiple business applications in machine learning. This peaked her interest in data science and she took a job as a data analyst in Publicis Media where she helped advertising clients make informed decisions. She is currently employed as a Data Science Consultant at Deloitte in Toronto, Ontario.