Summary
Overview
Work History
Education
Skills
Timeline
BusinessAnalyst

Jayati Chakraborty

McLean,VA

Summary

Objective Summary: Experienced Data Scientist and Economist with over 5 years of expertise in data science and analytics, encompassing supervised and unsupervised machine learning, data mining, applied statistics, econometrics, time series analysis, and predictive modeling. Passionate about exploring data, formulating hypotheses, and employing advanced statistical techniques to gain valuable insights. Possesses a growth-oriented mindset, strong work ethic, and a commitment to driving impactful outcomes.

Overview

8
8
years of professional experience

Work History

Senior Analyst

TransUnion
02.2023 - Current
  • Data Science and Analytics
  • Partnered with internal and external teams to drive new business initiatives and deliver value-added product propositions to B2B customers in the US financial services segment
  • Led analytic client engagements throughout the consumer lending portfolio lifecycle, utilizing techniques such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario, and sensitivity analysis
  • Designed and implemented programs for data extraction, segmentation, and statistical analysis on large population datasets using languages like Python, R, and SQL on various computing platforms
  • Constructed, trained, and validated predictive models using diverse machine learning algorithms, encompassing credit risk assessment, fraud detection, and customer behavior prediction models
  • Evaluated model performance utilizing suitable metrics and techniques, conducting A/B testing and validation to ensure real-world efficacy
  • Presented intricate findings clearly through data visualization tools, catering to technical and non-technical stakeholders
  • Collaborated with data engineers, business analysts, and stakeholders to guarantee data availability, quality, and accuracy for analysis.

Instructor

University of Wisconsin
06.2019 - 05.2023
  • Principles of Macroeconomics and Principles of Microeconomics

Teaching Assistant

University of Wisconsin
09.2018 - 05.2019

Assistant

Observers Research Foundation
12.2016 - 08.2018
  • Collaborating on global government projects to deeply comprehend their requirements and deliver effective solutions
  • Conducted comprehensive Data Cleaning, feature scaling, and feature engineering employing Python's pandas and NumPy packages
  • Crafted predictive models utilizing Decision Trees, Random Forest, Naïve Bayes, and Logistic Regression techniques
  • Engineered SQL stored procedures to ensure resilient and swift data retrieval within SQL Server
  • Continuously managing data mining, cleansing, and validation tasks, harnessing tools like Excel's VLOOKUP and other pertinent functions.

Assistant Project Officer

Riddhi Foundation
08.2015 - 08.2016
  • Python libraries, including Pandas, NumPy, seaborn, SciPy, matplotlib, and scikit-learn to craft diverse machine learning algorithms
  • Devised, executed, and fine-tuned models utilizing machine learning techniques such as linear regression, classification, Naive Bayes
  • Random Forests, K-means clustering, KNN, and regularization, enabling extraction of valuable insights from extensive datasets
  • Created insightful analytical dashboards using Power BI, facilitating rapid data comprehension for business stakeholders
  • Leveraged SQL to extract data from SQL Server, effectively shaping data for analysis purposes.

Education

Doctor of Philosophy - Econometrics and Quantitative Economics

University of Wisconsin – Milwaukee

Masters of Philosophy - Economics

University of Calcutta

Master of Science - Economics

University of Calcutta

Bachelor of Science - Economics

University of Calcutta

Skills

Programming Languages: Python, SQL, R

Data Processing and Analysis Libraries: Pandas, Matplotlib, NumPy, SciPy, Apache Beam, PySpark

Statistics: Time Series Forecasting, AR(I)MA, Causal Analysis

Machine Learning: Classification, Regression, Clustering, PCA, KNN

Data Visualization: Tableau, Power BI

Timeline

Senior Analyst

TransUnion
02.2023 - Current

Instructor

University of Wisconsin
06.2019 - 05.2023

Teaching Assistant

University of Wisconsin
09.2018 - 05.2019

Assistant

Observers Research Foundation
12.2016 - 08.2018

Assistant Project Officer

Riddhi Foundation
08.2015 - 08.2016

Doctor of Philosophy - Econometrics and Quantitative Economics

University of Wisconsin – Milwaukee

Masters of Philosophy - Economics

University of Calcutta

Master of Science - Economics

University of Calcutta

Bachelor of Science - Economics

University of Calcutta

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Jayati Chakraborty