Debasmita Das
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Debasmita Das Email & Phone Number

Economist at Keystone AI | Purdue Economics PhD at Keystone AI
Location: United States, United States, United States 4 work roles 5 schools
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Current company
Keystone AI
Role
Economist at Keystone AI | Purdue Economics PhD
Location
United States, United States, United States
Company size
156 employees

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Debasmita Das is listed as Economist at Keystone AI | Purdue Economics PhD at Keystone AI, a company with 156 employees, based in United States, United States, United States. AeroLeads shows a matched LinkedIn profile for Debasmita Das.

Debasmita Das previously worked as Scientist II, Economist at Keystone Ai and Postdoctoral Research Fellow at Georgia Tech Scheller College Of Business. Debasmita Das holds Doctor Of Philosophy (Phd), Economics from Purdue University.

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Keystone AI

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Profile bio

About Debasmita Das

Passionate economist with a keen interest in leveraging advanced econometrics and statistical machine learning methodologies to extract actionable insights from large and complex datasets.Throughout my research career, I conducted quantitative research using tools from causal inference, quasi-experimental methods, and ML methods. I have developed proficiency in programming languages such as Python, R, MATLAB, STATA and SQL, and have also gained multi-year experience with big data tools, cloud technologies (GCP), Linux OS environment, bash shell scripting, high-performance computing.I have extensive experience in developing and implementing cutting-edge algorithms and models to solve complex problems at the intersection of Household and Consumer Finance, Labor Economics, and Public Policy. My research has examined the effect of work requirement rules for welfare benefits, dynamics of retirement decisions of American workers, explainability of credit risk models, and a variety of other topics. I earned my PhD in Economics from Daniels School of Business, Purdue University. Currently, I am working as an Economist at Keystone AI.Before joining Keystone, I was a Post-doctoral Research Fellow affiliated with the Financial Services Innovation Lab in the Scheller College of Business at Georgia Tech.

Listed skills include Econometrics, Economics, Statistics, Stata, and 19 others.

Current workplace

Debasmita Das's current company

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Keystone AI
Keystone Ai
Economist at Keystone AI | Purdue Economics PhD
san francisco, california, united states
Website
keystonestrategy.com
Employees
156
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4 roles

Debasmita Das work experience

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Scientist Ii, Economist

Current
Keystone Ai

Seattle, Washington, United States

Jul 2024 - Present

Postdoctoral Research Fellow

Georgia Tech Scheller College Of Business

Atlanta, Georgia, United States

  • Conducted consumer finance research using a 10% random sample (~24 million consumers per month) of a Consumer Credit Panel Data (2005-2023) from a major credit bureau (Equifax)
  • Implemented various ML model architectures (Gradient Boosted Trees, Random Forest, Logistic Regression) and explainable AI techniques to enhance interpretability of credit risk models
  • Analyzed the changing dynamics of default behavior and temporal variation in model explanations by comparing models trained in different periods of time; performed fairness analysis to detect inherent algorithmic.
  • Worked with cross-functional teams (data stewards, researchers, HPC computing staff) to develop and maintain data processing pipelines (~20TB) and perform rigorous data validation procedures on the Equifax Ignite.
  • Executed parallel computing jobs using SLURM workload manager
Aug 2022 - Jul 2024

Graduate Research And Teaching Assistant

Purdue University Daniels School Of Business

West Lafayette, Indiana

  • Graduate Research Assistant:
  • Led research initiatives leveraging causal inference and machine learning methodologies
  • Explored various household and individual level micro-datasets; prepared data for researcher use; performed data wrangling, manipulation and analysis
  • Documented data cleaning procedures to facilitate knowledge sharing and ensure reproducibility of data preprocessing workflows
  • Developed and implemented Python scripts utilizing regular expressions (regex) to clean clinical trial data
  • Used STATA to estimate the effect of motherhood on labor income risk based on National Longitudinal Survey of Youth (NLSY)
Aug 2016 - Jul 2022

Research Associate

International Management Institute, Kolkata (Imi-Kolkata)

Kolkata Area, India

  • Performed demand analysis using a time-series framework to estimate elasticity of India’s import demand for gold using monthly UN COMTRADE database
  • Collaborated with research team and published a co-authored research paper: "Estimating Elasticity of Import Demand for Gold in India" in Resources Policy, 2017, 51, 183-193
  • Explored different economic data sources, cleaned and complied them for researcher use
  • Programmed regression models in STATA and Eviews
  • Presented research update to an internal audience
  • Wrote an opinion piece "No Golden Rule" in the Hindu Business Line (News Journal), with Paramita Mukherjee, and Vivekananda Mukherjee
Jan 2015 - Jul 2016
Team & coworkers

Colleagues at Keystone AI

Other employees you can reach at keystonestrategy.com. View company contacts for 156 employees →

FT Fraser Thompson Fraser Thompson Colleague at Keystone Ai Brooklyn, New York, United States, United States View → VR Vijaya Reddy Vijaya Reddy Colleague at Keystone Ai Mercer Island, Washington, United States, United States View → MM Mauricio M. Mauricio M. Colleague at Keystone Ai New York City Metropolitan Area, United States View → BS Benjamin Sango Benjamin Sango Colleague at Keystone Ai New York, New York, United States, United States View → ST Samirah Treviño Samirah Treviño Colleague at Keystone Ai San Antonio, Texas, United States, United States View → GL Gaby Lichucki Gaby Lichucki Colleague at Keystone Ai Los Angeles, California, United States, United States View → SS Sepideh Saeedi Sepideh Saeedi Colleague at Keystone Ai San Francisco Bay Area, United States View → PP Prithvi Punjabi Prithvi Punjabi Colleague at Keystone Ai Jersey City, New Jersey, United States, United States View → FL Filip Lazaric Filip Lazaric Colleague at Keystone Ai United Kingdom, United Kingdom View → KG Kait Galv Kait Galv Colleague at Keystone Ai Richardson, Texas, United States, United States View →
5 education records

Debasmita Das education

Doctor Of Philosophy (Phd), Economics

Purdue University

• Dissertation: 1. “Child-rearing, Social Security and Married Women’s Labor Supply over the Life Cycle" 2. “SNAP Work Requirement and.

Master Of Philosophy (M.Phil.), Economics

Jadavpur University

Thesis: "Estimating Elasticity of Import Demand for Gold in India" - Published in Resources Policy, 2017, 51, 183-193, with Paramita.

Bachelor Of Science (B.Sc.), Economics

St. Xavier'S College, Kolkata
FAQ

Frequently asked questions about Debasmita Das

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What company does Debasmita Das work for?

Debasmita Das works for Keystone AI.

What is Debasmita Das's role at Keystone AI?

Debasmita Das is listed as Economist at Keystone AI | Purdue Economics PhD at Keystone AI.

Where is Debasmita Das based?

Debasmita Das is based in United States, United States, United States while working with Keystone AI.

What companies has Debasmita Das worked for?

Debasmita Das has worked for Keystone Ai, Georgia Tech Scheller College Of Business, Purdue University Daniels School Of Business, and International Management Institute, Kolkata (Imi-Kolkata).

Who are Debasmita Das's colleagues at Keystone AI?

Debasmita Das's colleagues at Keystone AI include Fraser Thompson, Vijaya Reddy, Mauricio M., Benjamin Sango, and Samirah Treviño.

How can I contact Debasmita Das?

You can use AeroLeads to view verified contact signals for Debasmita Das at Keystone AI, including work email, phone, and LinkedIn data when available.

What schools did Debasmita Das attend?

Debasmita Das holds Doctor Of Philosophy (Phd), Economics from Purdue University.

What skills is Debasmita Das known for?

Debasmita Das is listed with skills including Econometrics, Economics, Statistics, Stata, Economic Research, Statistical Modeling, Data Analysis, and Labor Economics.

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