Jiong Chen, Data Science Manager, CVS Health

Graduation: 2015
Current Title: Data Science Manager, CVS Health

Career Highlights:

• Designed and developed personalized product recommendation engine
• Developed propensity model, uplift model and response model to accurately target customers for different campaigns
• Led data engineers to implement and productionalize machine learning and statistical models

“The statistics program not only offers a rigorous academic training for statistical and machine learning theory but also a great opportunity to meet and network with intellectual minds.”

Youzhu Liu, Senior Analyst at Citi

Graduation: 2016
Current title: Senior Analyst, Citi

Career Highlights:

• Delivered PNL analysis, forecasting, customer segmentation and other deep business analysis in Citi Credit Card Existing Customer Management Programs using R/SAS/SQL
• Collaborated with modeling, marketing and risk team in Citi Personal Installment Loan program: responsible for designing tests, optimizing targets, tracking program performance and providing business insights to help in decision making process.
• Created data visualization and KPI tracking in collaboration with project teams.

“Columbia University Stats program helped me gain more academic knowledge, introduced me to lots of intellectuals and kept me updated with different cultures. It gave me many opportunities in the early stage of my career.”

Frank Lu, General Manager, Changjiang Futures, Shanghai

Graduation 2014
Current title: General manager of options and structural finance, Changjiang Futures, Shanghai

Career highlights:

• Algorithmic trading equities and equity derivatives in NYC.
• Option market making in commodities options in Chicago.
• Both exchange and OTC option business in Shanghai.

“It was my great pleasure to graduate from the MA Statistics program, where I learned practical Statistics knowledge, enhanced various skills and met inspiring minds.”

Dennis Lyubyvy, Algorithm Engineer, Afiniti

Graduation: May 2015
Current title: Algorithm Engineer, Afiniti

Career highlights:

• Developed models that recognize patterns in call center agents performance and optimize sales and customer satisfaction
• Build set of interactive data visualization tools using R Shiny technology
• Launched my own company at the age of 24; my current position allows me to combine my knowledge of statistics and data science with prior business experience

“The MA program in Statistics at Columbia offers a wealth of opportunities for anyone who is willing to build a career in data science.”

Jundong He, Product Manager, Tourico Holidays

Career highlights:

• Intern at IZP Technology building the new F2C E-Commerce platform “Yiwu Global” 
• Partner of ISOWAVE engaging in the Asian Carp project
• Product manager at Tourico Holidays, managing more than 200 Hotel profiles in SW China

“Columbia’s life gave me the chance to go places and become a person I’d never dreamed I’d be.”

Jiun Kim, Data Scientist at Audible

Graduation: 2014
Current title: Data Scientist at Audible, an Amazon company

Career highlights: Jiun is currently a data scientist at Audible. With a vast amount of data, my days are filled with designing, developing, and evaluating predictive models for interesting research topics. Previously she worked as a statistical consultant at the United Nations. There, she developed statistical/econometrics models, of which are published, to predict uncertainties such as disaster risk and unemployment rates, and understand the statistical inferences of these impacts on human behavior and socioeconomic segmentation. She also worked for a financial firm in London and government offices in Korea.

“Statistics M.A. program at Columbia equipped me with not only statistical knowledge and programming skills but also strategic and critical thinking. Most importantly, friendship and social network with brilliant and inspiring minds.”

Timothy Haley, Vice President, JP Morgan

Career highlights: 

• Promoted to Manager at Fox Cable Networks and most recently to Vice President at J.P. Morgan
• Developed statistical models and a modeling codebase for Asset & Wealth Management at J.P. Morgan
• Developed statistical models for MEC (a GroupM company), and presented analyses to clients

 “The M.A. in Statistics program at Columbia challenged me intellectually and provided me with the core skills necessary to obtain, and succeed at, my current and previous jobs in statistical modeling.”

Hao Hu, Staff Data Science Expert at DiDiChuXing

Eric Feder, Director, Data Science 2U

• Got to live out one of my dreams and work for a Major League Baseball team when I interned for the New York Yankees as statistical analyst for a year.
• While working at TheLadders, I had the privilege of mentoring a summer intern. I felt tremendous satisfaction from seeing him learn and grow, and loved passing some of my knowledge and experience on to him.
• After working with product managers and software engineers on a new website feature for many months, it felt great to finally roll it out to our users and to see how much it improved their experience.

“At Columbia, I learned both the theories and the practical skills that I needed to find a great job and start contributing immediately, and which I continue to use me to this day.”

Eric Novik, Co-founder, CEO, Stan Group Inc.

Graduation: 2012
Current title: Co-founder, CEO, Stan Group Inc.
Program: Part-time

Takayoshi WiEsner, Executive Director, Head of Strats in Global Capital Markets at Morgan Stanley

Graduation: 2008 (QMSS), 2011 (Statistics)
Current Title: Executive Director, Head of Strats in Global Capital Markets at Morgan Stanley

Career highlights:

• Currently leading a team of quants to help institutional clients raise capital, provide advisory services and develop sophistical pricing models and predictive models.
• Previously worked as a credit portfolio risk manager and analyzed multi-billion dollar investment/trading portfolios that were composed of complex securities and derivatives.
• Worked as a research assistant for Andrew Nathan, Chair of Political Science Department at Columbia, while in the program. The research became the basis of his book, How East Asian Views Democracy.

“As Statistics is one of the most versatile and hottest disciplines today, it also plays an expansive role beyond the traditional domain of mathematical science at Columbia. The M.A. programs provide numerous opportunities to learn the application of statistical techniques and concepts in interdisciplinary fields varying from data science and social sciences to finance and actuary so that a student’s educational experience can be tailor-made for his or her career goal. Since Columbia is one of very few academic institutions that excel in all the aforementioned fields, such cross-department learning experiences are intellectually stimulating and rewarding even to the traditional students of statistics.”

Long Wei, Assistant professor of Economics, Tulane University

Graduation: 2010
Current title: Assistant Professor of Economics at Tulane University

Career highlights: 

• Concentration on econometrics and time series.
• Publication in the Journal of Econometrics, the top journal in econometrics.
• Several other publications on peer reviewed journals such as Economics Letters and Empirical Economics.

David Lee, Senior Vice President, Chief Data Officer, Medidata Solutions

Career highlights: 

• As Chief Data Officer at Medidata Solutions, David provides vision and leadership for all Medidata initiatives related to data management, innovative analytics, and related business development.
• Previously, David was VP of the Science division at AIG, where his team developed proprietary predictive models for insurance markets.
• David is the recipient of the 2012 SAS Enterprise Excellence Award

Jonathan Steinberg, Manager, Data Analysis and Computational Research, Educational Testing Service

Graduation: 2003
Current title: Manager, Data Analysis and Computational Research, Educational Testing Service
Program: Part-time

Career highlights: 

• Dissemination of research in multiple journal articles, research reports, and conference presentations
• Participation in multi-year research projects funded by federal education agencies
• Mentoring of fellow co-workers and graduate students pursuing careers in education

“The M.A. program enabled me to improve my statistical knowledge and programming skills as well as better prepare me for my future career development”.

Sharona Sankar-King

Career highlights: 

• Joined BBDO New York in September 2016 in the newly created role of EVP, Head of Marketing Science with the goal to deepen and expand BBDO New York’s data and analytic capabilities.
• Sharona experience includes working with clients and products in telecommunications, retail, travel, financial services, healthcare, pharma, automotive, packaged goods, eCommerce, energy, technology and more.
• Was Managing Partner, North America Practice Lead of Digital & Advanced Analytics, at MEC where her extensive experience in developing and productizing strategic analytic solutions for top tier clients allowed her to develop MEC’s digital attribution platform. 

“The M.A. program at Columbia prepared me for the real application of advanced analytics, which gave me the foundation for my career.”

Deepika Namboothiri

Graduation: 2019
Current title: Marketing science analyst, TBWA/Annalect

Background:

• Attended University of Pune and majored in Mechanical Engineering.
• Interned with Harman International as a marketing analyst on the consumer insights team in the summer of 2018.

“The best part about the MA Statistics program is the multitude of resources that are available. Professors constantly challenge you to achieve more while you enjoy the learning process. My faculty advisers have been helpful in directing me to courses that are aligned with my career goals.”

Scott Szatkowski

Graduation: 2019
Current title: Electronic Trading Analyst, Citadel
Program: Hybrid 

Background: 

• Attended the Rose Hulman Institute of Technology and was a double major in Physics and Optical Engineering and a Math minor.
• Worked at DRW, a Chicago-based trading firm on a small risk management team in the summer of 2018. The work involved traditional and alternative asset evaluation.

“The MA Statistics program has given me the opportunity to meet with great employers. I also value the project implementations I’ve been able to work on in classes such as Linear Regression, Machine Learning, and Hedge Fund Strategies and Risk.”

Leo Lam

Graduation: 2019
Current title: Data scientist, KPMG

Background:

• Graduated with a double major in Biochemistry and Mathematics from Rutgers University.
• Interested in the application of statistical methods to optimize clinical research trials through the use of  public health data.
• Enjoys driving and singing karaoke. 

“Columbia holds many mock interviews, career fairs, and info sessions throughout the semester, which provided me with a lot of practice in speaking with experts among different fields. These experiences have broadened my views of my future career path and have given me more confidence in building professional relationships with employers as well as alumni.”

Kalabe Haile

Graduation: 2019
Current title: Machine Learning Consultant, Protiviti

Background:

• Graduated from the University of Maryland with a Bachelor’s Degree in Computer Science.
• Loves to spend his free time exploring the arts including sketching and painting.
• Loves to visit museums and shows throughout NYC.

Yang Lyu

Graduation: 2019
Current title: Analytics Consultant, CVS Health

Background:

• Studied Actuarial Science and Statistics at University of Illinois at Urbana-Champaign.

“The MA Statistics program includes many networking and job hunting events which help in terms of the job search. Also, there’s a large range of courses to choose from.”

Jenna Weinstein

Graduation: 2019
Current title: Data Scientist, Scholastic

Background:

• Graduated from Tufts University with a BS in Mathematics and Political Science.
• Spent a summer doing quantitative analysis for the Los Angeles Angels (who are actually in Anaheim, CA)
• Born and raised in NY, but  still loves exploring the city. 

 “The Director of Career Development brings in every possible employer to meet with the Statistics MA students in a rather small, intimate setting, which you don’t often get with employers.”

Davin Kaing

Graduation: 2019
Current title: Data Scientist, IBM

Background:

• Completed undergraduate studies in Bioengineering at the University of the Pacific, and got a Master’s Degree in Data Science at George Washington University.
• Worked part-time as a Data Scientist for a quantum computing/analytics start-up (QxBranch) and consulting for another health analytics start-up (AlignCare Services).
• Loves to play the classical guitar, travels and enjoys hiking.
• Born and raised in Cambodia, he grew up in California.

“The program is rigorous, intellectually stimulating, and filled with highly motivated students. Its position in one of the best cities in the world also exposes us to the diverse cultures and many opportunities.”

Anshuma Chandak

Graduation: 2019
Current title: AI research scientist, Accenture

Background:

• Worked for IBM in India before joining Columbia. Her most significant learning at IBM was how artificial intelligence is poised to reshape the landscape of statistical analysis, and this makes it is an incredible time to be a statistician.
• Interested in History, and loves to read autobiographies and historical accounts.
• Is trained in the Indian classical dance form, Bharatnatyam and enjoys theater.

“Machine Learning isn’t just a buzz word anymore, it is here to stay!  And this program provides a strong foundation in Statistics, which aids in understanding the nitty-gritty of Machine Learning. Additionally, the program is very flexible in terms of course choices. One can easily cross register in other departments including, computer science, electrical engineering, business school and more.”

Oded Lowenstein

Graduation: 2019
Current title: Data Scientist, Cognovi Labs
Program: Hybrid

Background:

• Attended Tel Aviv University and was a double-major in Accounting and Economics

“One of the best aspects about this program is the broad selection of electives in various areas of interest. For example, I have been able to deepen my knowledge in finance, while learning new and innovative machine learning methods through the data science sequence. Being located in NYC and having industry leading professors is an unparalleled advantage.  Also, the program’s career counseling and guidance, including resume and cover letters workshops, meetings with employers and the personal and professional care given to each student has been far beyond my expectations.”