Master of Science in Analytics
Instructors - MSc in Analytics
Upcoming Events and Deadlines
Spring 2020 Application Deadline:
- International
- Domestic Full-time for Early Decision
- Part-time for Early Decision
Spring 2020 Application Deadline
- Domestic Full-Time
- Part-time for Early Decision
Shaddy Abado, PhD
Shaddy Abado is a Data Science Manager at Accenture Digital. Throughout his career his interests span various fields ranging from investigating light-fluid interactions for aero-optics applications to developing data analytics solutions for equipment predictive maintenance, condition based monitoring and Industrial Internet of Things. He is utilizing these skills at Accenture to assist companies throughout their digital transformation. He has more than 6 years of experience instructing in graduate professional studies courses. He serves on the board of the Data Science Conference. He has presented research at national conferences and published papers in peer-reviewed journals and conference proceedings. He received his MSc and PhD in aerospace and mechanical engineering from the University of Notre Dame.
Courses
Medy Agami, EMBA, MS
Medy S.A. Agami is the vice-chairman and partner at Ben-Roz & Associates. He is an expert in strategy and economics, data analytics and decision sciences, risk management and governance, finance, and public policy. Medy was previously a co-founder and managing director of Opimas. Prior to founding Opimas, Medy was the head of governance at Northern Trust. Medy has also worked in strategic advisory, as well as in finance and risk advisory at Oliver Wyman, prior to Oliver Wyman he worked at FSCM as a strategist, head of strategy and quantitative research, and chief risk officer.
He has worked with many of the world's leading companies and their boards on a variety of issues including strategy, analytics, and innovation and helped launch several market-shaping innovations. He has also worked with business leaders in diverse sectors on risk management and governance, defense, public policy, business transformation, opportunities in technology, and other global trends.
Medy has pioneered new ways of organizational strategic planning and execution, analytic innovation, risk management, and public policy design through the development of various initiatives that are currently implemented at the world's leading asset managers, banks, insurers, energy companies, think-tanks, NGOs, central banks, and public utilities. He has spoken at several CEO, economics and policy-maker forums around the world and regularly publishes position papers. Moreover, he has published over 20 thought leadership articles and technical papers in trade journals, industry publications and with leading research firms, which are referred to extensively and that cover a series of topics across strategy, analytics, risk management, economics, and governance.
Medy studied financial engineering and quantitative analytics for his Masters in Mathematical Finance at IIT. He also received an Executive Masters in Business Administration from the University of Chicago's Booth School of Business.
Courses
Master of Science in Analytics:
Certificate in Data Analytics for Business Professionals:
Certificate in Financial Management and Decision Making:
This instructor teaches for multiple programs. If you’re interested in a course from another program, please visit that program page to learn more about applying. Students may register for one certificate course before applying to a certificate program.
Hussam Almuayad, ME, MS
Bio information coming soon.
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Arnie Aronoff, PhD
Arnie Aronoff is formerly the senior director for human resources at Princeton University and the University of Chicago, Arnie Aronoff has brought his professional expertise to educational, nonprofit, social service, and other organizations as a consultant, coach, and trainer for over fifteen years. Mr. Aronoff is an experienced instructor who has been teaching for the Professional Development Program at SSA since 1996. He earned his doctorate from the University of Chicago and pursued advanced training in organizational development from the National Training Laboratories in Applied Behavioral Science (NTL) and the Gestalt Institute of Cleveland.
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Gizem Aydin, PhD
Dr. Aydin earned her Master’s degree and Ph.D. in Industrial Engineering from the University of Oklahoma, research focusing on network flow modeling in freight flow applications. She has both an Industrial Engineering and Computer Engineering undergraduate degree. She has multiple papers published and presented her work at conferences. Gizem has been working at Caterpillar, Inc. and currently is an analytics project leader at Information Analytics group, where she develops and leads analytics teams with a focus in sales and order planning within supply chain portfolio. Gizem received an Outstanding Achievement in Analytics award at Caterpillar, with her work on customer site maintenance scheduling project in 2016. With her diverse background and experience, she connects with internal and external teams to provide technical leadership and analytics solutions.
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Francisco Azeredo, PhD
Francisco Azeredo is a financial economist and decision scientist with ten years of experience working for leading financial institutions and consulting firms in the Chicago area. He is presently a senior vice-president at Northern Trust, leading strategic and quantitative driven projects across the three major business units. His current experience includes leading analytics projects in foreign exchange, options and hedging solutions, analysis of algorithmic and high-frequency trading, research and development of algorithmic executions and equity strategies, securities lending time series pricing models, treasury deposit modeling and digital wealth management client experience. His prior work experience includes credit risk, operational risk and macroeconomic modeling for stress testing and capital planning, analysis of complex financial instruments, interest rate modeling, and econometric and predictive analysis for litigation matters involving financial institutions and multinational corporations.
His research in financial economics was recognized by leading economists in the Handbook of the Equity Risk Premium, Intermediate Financial Theory, and an encyclopedia of behavior economics. He currently teaches reinforcement learning, statistical analysis, non-linear statistical modeling, and optimization in the MSc. Analytics at the University of Chicago Graham School. He holds a PhD in Economics from the University of California, Santa Barbara.
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Yuri Balasanov, PhD
Dr. Balasanov is a lecturer at the University of Chicago since 1997. He teaches at Graduate Program on Financial Mathematics (MSFM) and Graduate Program on Analytics (MScA). Dr. Balasanov teaches Statistical Analysis, Nonlinear Statistical Analysis (Linear and Nonlinear Models), Machine Learning, Bayesian Methods, Advanced Machine Learning and Artificial Intelligence, Real Time Analytics, Financial Analytics, Fixed Income Derivatives, Mathematical Market Microstructure.
He is also founder and President of Research Software International, Inc. since 1991 and iLykei Teaching Tech Corp since 2015.
Dr. Balasanov earned his Master’s degree in Applied Mathematics and PhD in Probability Theory and Mathematical Statistics from the Lomonosov Moscow State University, Russia, where he studied under Andrey Kolmogorov and leading members of his school. His primary expertise and research interests are in the area of stochastic modeling, machine learning and artificial intelligence, robotics with applications in various fields including trading, risk management, finance and economics, business analytics, marketing and medical studies.
Dr. Balasanov has been a financial industry practitioner for more than 20 years, working at leading financial institutions as head quant, quantitative trader and risk manager. He has lead research teams working on analytical and data driven projects as well as development of software for analytics.
Courses
Master of Science in Analytics:
- MSCA 31007: Statistical Analysis
- MSCA 31009: Machine Learning and Predictive Analytics
- MSCA 31010: Linear and Nonlinear Models for Business Applications
- MSCA 32001: Financial Analytics
- MSCA 32005: Real Time Analytics
- MSCA 32014: Bayesian Methods
- MSCA 32017: Advanced Machine Learning and Artificial Intelligence
Debtosh Banerjee, MS
Debtosh Banerjee has over a decade of professional experience in consumer finance across multiple international markets including US, Latin America and India. Banerjee has spent most of his career in Credit Risk Management dealing with Credit Policy, Account Management, Collections, Loss Forecasting and Capital Allocation problems. Currently, Banerjee is a Senior Director of Data Science and Engineering at Avant. Banerjee's focus is on using machine learning and statistical tools to help solve various business problems spanning Risk, Marketing, Call center, Fraud and Finance functions. Prior to Avant, Banerjee worked for US Bank and HSBC. Banerjee is an Alumni of the MSc of Analytics program and holds a Bachelor Degree in Computer Science from West Bengal University of Technology, India.
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Shree Bharadwaj, MS
Shreenidhi Bharadwaj is an educator, data enthusiast and an analytics practitioner. Currently, as VP Data & Analytics at Syndigo, he leads the data Strategy, data science, next-gen platform and M&A integrations at Syndigo. He drives innovation, standardization, development & operationalizing machine learning models, data engineering at scale using on premise & cloud platforms, effective data visualizations, model-driven design & algorithmic thinking. In his previous role as the Director of emerging products at IRI, he led strategic initiatives in the Consumer and Media science relating to Segmentation, Targeting and Activation, Campaign Measurement, and Hyper-Personalization.
With 20+ years of experience, Shreenidhi has been successful in aligning future state with corporate goals and driving major digital transformation initiatives including large-scale M&A integrations at Fortune 100 companies while mentoring and managing global teams. He also has extensive background in formulating product launch strategies helping over a dozen products move from inception to market. His industry expertise spans Telecommunications, Finance, Healthcare, Retail/CPG, and Public Safety domains.
As a Global Standards Management Professional (GSMP) at GS1, he is active in developing standards, roadmaps, governance & compliance requirements relating to food services, healthcare, retail, supply chain & CPG/FMCG while driving adoption by simplification. He also has filed for a couple of patents in public safety domain.
Shreenidhi is a graduate of the MS Analytics program from The University of Chicago and BE, Electronics and Communications from Manipal Institute of Technology, India. His interests include Intelligent Systems and Robotics, Machine Learning at scale, Data Engineering Platforms, Data Visualization & Knowledge Engineering.
LinkedIn: https://www.linkedin.com/in/ssbharadwaj
Email: sbharadwaj@uchicago.edu
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Arnab Bose, PhD
Dr. Bose is the Managing Director at Abzooba, a data analytics company. He is a 20 year veteran who enjoys working with data and has extensive analytics experience in healthcare and finance. Arnab is also a consultant in automated vehicle control. He focuses on natural language processing and machine learning models for unstructured and structured data. Arnab serves on the board of the financial engineering graduate program at University of Southern California. He is the Associate Editor for IEEE Transactions on Intelligent Transportation Systems. Arnab holds MS and PhD degrees in electrical engineering from University of Southern California, and a BS in electrical engineering from the Indian Institute of Technology in Kharagpur, India
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Anil Chaturvedi, PhD
Dr. Chaturvedi has over 25 years of professional experience at companies such as AT&T Bell Labs, Kraft Foods, Capital One, and Accenture. He has provided consulting services to Bank of America, Fannie Mae, Johnson & Johnson, and Proctor & Gamble. His general research interests include the areas of multivariate analysis methods for Big Data – multi-linear models, information mining, and business insights. He has co-authored a book "Mathematical Tools for Applied Multivariate Analysis" with the Late Professor Paul Green (University of Pennsylvania) and Professor J. Douglas Carroll (Rutgers University). He has patented and published analytical methods for Direct Marketing and Information Mining, Market Segmentation, New Product Development, Product Positioning, Customer Loyalty, Consumer Promotion Mix optimization, and Brand Strategy. He completed his PhD from Rutgers University, and PGDM from IIM Ahmedabad, India.
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Sebastien Donadio, PhD
Dr. Sebastien Donadio is currently head of software engineering at HC Technologies. There, he is responsible for managing software development. He has a wide variety of professional experience, including being a quantitative trading strategy software developer at Sun Trading, working as project lead for the Department of Defense. He also has research experience with Bull SAS, and an IT Credit Risk Manager with Société Générale while in France. Sebastien has taught various computer science courses for the past ten years. This time was spent between the University of Versailles and the University of Delaware. Courses included: Computer Architecture, Parallel Architecture, Operating System, and Advanced Programming. Sebastien is also an instructor in the Master Program in Computer Science and FIN-MATH program of the university where he teaches advanced programming.
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Kevin Hartman, MBA, MPP
Kevin Hartman is a devoted and artistic practitioner of data. He believes data must do more than simply provide insights that motivate creative thought. Rather, data must express insights in ways that are just as creative as the ideas they inspire.
As Head of Industry at Google, Kevin and his team partner with major advertisers, creative agencies, and media companies to develop digital solutions that build businesses and brands. His approach mixes science and art to deliver inventive, fact-based strategies that reduce uncertainty and increase effectiveness in the marketing and advertising programs they create.
Kevin’s roster of client work is long and varied, and includes brand names such as Nestle, General Mills, Kellogg's, Anheuser-Busch, MillerCoors, Motorola, the United States Postal Service, Taco Bell, Kentucky Fried Chicken, Del Monte, Boeing, Qualcomm, Wagner USA, ABN Amro, Bank of America, and the Chicago Board of Trade, among others.
Kevin holds a BA from the University of Notre Dame, a MPP from the University of Chicago's Harris School, and an MBA with honors from the University of Chicago's Graduate School of Business. He teaches extensively on topics related to marketing, digital analytics, and data management and is on the adjunct teaching staffs at the University of Chicago, the University of Notre Dame, and the University of Illinois.
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Nick Kadochnikov, MS
Nick Kadochnikov is a Distinguished Engineer and Director within IBM Chief Analytics Office, where he is focusing on the development of Cognitive Enterprise / AI capabilities. These Augmented Intelligence solutions combine the power of Machine Learning and Big Data analytics with Artificial Intelligence and Natural Language Processing to enable intelligent, data-driven decision making based on the multitude of both structured and unstructured data sources. Applications of AI capabilities cover the majority of enterprise operations, including supply-chain, sales, marketing, finance, procurement and legal functions.
Nick also plays an active role in academia, serving as an Instructional Lecturer at the University of Chicago Master of Science in Analytics program, where he teaches “Big Data Platforms” and “Natural Language Processing” courses as well as supervising numerous capstone projects.
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Ming-Long Lam, PhD
Dr. Lam is a data scientist with over twenty years of practicing predictive analytics in software development, property and casualty insurance, and retail financial service industries. Ming-Long has strong expertise in developing statistical algorithms, customizing solutions for analyzing person data, and implementing solutions in major statistical software. Ming-Long is currently a Senior Manager of Advanced Analytics R&D at the SAS Institute. Prior to the SAS Institute, Ming-Long had a rewarding career in directing development of analytical features in SPSS. In between these two major statistical software vendors, Ming-Long developed rating plans for Allstate to set insurance premiums and assessment models for Chase to recruit their retail financial staff. Ming-Long has co-published the book Using Data Analysis to Improve Student Learning: Toward 100% Proficiency. Ming-Long holds a PhD in Statistics from the University of Chicago.
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Roger Moore, MBA
Roger is the VP, Analytics and Customer Operations at Entytle. Entytle provides a SaaS tool supporting customer installed base automated sales with AI and machine learning. Roger also currently is a Lecturer at the University of Chicago. He teaches Leadership Skills in the Masters of Science in Analytics Program. Previously Roger was a Senior Director in the Chicago Office of Gartner. At Gartner, the world’s leading information technology research and advisory firm, Roger assisted clients in the application of data and analytics to drive new insights and better decisions. Roger has also worked at Sagence, Booz & Co, PwC, Diamond Management & Technology Partners and the Boston Consulting Group.
Roger is active in the data, analytics and technology communities in the Chicago area. He attends many MeetUps, roundtables and industry events. Roger founded and chairs the Chicago Booth Big Data & Analytics Roundtable and is a board member of the Chicago City Data User Group. Roger is on the Industry Advisory Board of the Chicago Analytics Consortium, formed by the major universities in Chicago that provide analytics educations.
Roger has experience speaking in many venues, including providing the opening address at the Predictive Analytics & Business Insights 2015 Conference in Chicago. He has also spoken at the Executives Club of Chicago Leadership Circle, the Chicago Booth Innovation Roundtable, DePaul Predictive Analytics Club, UIC Center for Research in Information Management (CRIM) Speaker Series, Indiana University Informatics and Computing Student Association Catalyst Conference and UIUC Speaker Series. He also was a panel moderator for University of Chicago GradUCon on Careers in Data Science, UIC’s CRIM Analytics Symposium on Academic-Industry Analytics Partnerships and at General Assembly on Intro to Data Science.
Roger holds an MBA with focus in Finance and Statistics from the University of Chicago’s Booth School of Business. He also received a BS in Electrical and Computer Engineering from the University of Wisconsin – Madison
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Danny Ng, PhD
Bio information coming soon.
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Utku Pamuksuz, PhD
Dr. Utku Pamuksuz is a data analytics researcher with expertise in data science, business analytics, applied mathematics, and machine/deep learning. He has been teaching analytics courses at the University of Chicago and the University of Illinois at Urbana Champaign (UIUC). He has been an invited speaker including keynote sessions in academic and professional seminars in Europe, Asia, and the U.S.A. for application and development of data analytics in the areas of Management, Finance, Strategy, Healthcare, E-Commerce and Quantitative Marketing. He holds PhD in IS/Data Analytics from UIUC and M.Sc. in Computer Science from Northwestern University. Dr. Pamuksuz has served as a Senior Data Scientist at State Farm as well as W.W. Grainger. He co-founded Inference Analytics in 2018 and currently serve as a Chief Data Scientist and analytics lecturer at The University of Chicago.
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Nalini Polavarapu, PhD
Dr. Nalini Polavarapu has been with Bayer for over ten years and leads data science strategy for a global team of analytical and IT professionals, specialized in machine learning, operations research and cloud analytics to deliver better products to market faster through data science. Data science activities range from inventing cognitive systems to enhance decision making, predictive and prescriptive analytics to automate/augment decisions, geo-spatial and image analytics to realize precision farming, and analytics to increase operational efficiency.
Nalini also serves as the senior leader on the Data Science Center of Excellence Council partnering with other senior leaders enterprise wide to drive the efforts to realize the vision of transforming into a digital company through data science. Activities include cross-functional digital strategy and projects, enterprise wide talent and community development, scalable technology platforms, best practices for development and deployment of analytical solutions and portfolio management.
Over the course of her career, Nalini held positions of increasing levels of leadership responsibilities managing teams operating across geographies in Americas, EMEA, Asia and Africa, and has successfully established and led an off-shore center in India. She also initiated multiple external partnerships and collaborations with start-ups, large corporations and universities. Being the first data scientist at Monsanto, Nalini played a key role in building a world-class global data science organization which is now at 300+ and growing through hiring and development of data scientists, data science leaders, as well as positions of seniority within the groups.
Nalini has a PhD and dual Masters in Computer Science and Bioinformatics from Georgia Institute of Technology in Atlanta, Georgia. Nalini has authored and co-authored several analytical patents, research articles in leading scientific journals and co-authored book chapters on high throughput data analysis and applications.
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Ashish Pujari, MS
Ashish Pujari is a leader in data and analytics, IT strategy and technology consulting. As a Director of Analytics at GLG, Ashish leads the design and implementation of business intelligence, predictive analytics and visualization. Prior to joining GLG, Ashish served as an AVP of Analytics Architecture for CNA Insurance where he was responsible for insurance analytics platforms and data strategy.
Ashish specializes in big-data analytics, cloud computing, algorithm development, application and database design, decision management and visualization technologies. Ashish has been involved in technology consulting in finance, banking, insurance and communications domains for clients in Europe, North America and Asia.
Ashish earned a Master of Science in Analytics from the University of Chicago, and Bachelor’s in Electrical Engineering from the National Institute of Technology, Rourkela. His research interests include parallel and distributed systems and machine learning. Read an interview with Ashish Pujari on the importance of data today ›
Contact: apujari@uchicago.edu
Courses
Master of Science in Analytics:
- MSCA 31012: Data Engineering Platforms for Analytics
- MSCA 31013: Big Data Platforms
- MSCA 37011: Deep Learning and Image Recognition
Certificate in Data Analytics for Business Professionals:
This instructor teaches for multiple programs. If you’re interested in a course from another program, please visit that program page to learn more about applying. Students may register for one certificate course before applying to a certificate program.
Jonathan Williams, MS
Jonathan Williams has been working in statistical consulting for ten years, and currently manages data science teams at Civis Analytics, working on behalf of public sector clients. Previously he worked as a Vice President at Compass Lexecon, providing and supporting expert reports and expert testimony for litigation. Jonathan earned Bachelor's and Master's degrees in Statistics from the University of Chicago ('07, '08) and is also a recent alumni of the MSCA program ('16). He also co-instructs courses for the Graham School certificate programs along with Professor Yuri Balasanov. Jonathan's focuses include data visualization, technical writing, financial valuation, mortgage portfolio modeling, and damages estimation.
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Jim Guangjin Xiao, MS
Jim Xiao is a VP Data Science at Zurich North America Insurance Company. He received his Master of Science in Applied Statistics from Bowling Green State University in Ohio. Mr. Xiao is a fellow actuary (FCAS) practicing in the property and casualty insurance industry, and is an active member of Casualty Actuarial Society and American Academy of Actuaries. Mr. Xiao has 10+ years of research and modeling experience in predictive analytics for both personal and commercial lines focusing on insurance product pricing, customer segmentation, and risk management. Jim has been an part-time lecturer for the MSCA Program since 2015 lecturing Risk Analytics.