Machine Learning Data Analyst

Aakash Gupta

****E Hyde Park Blvd, Chicago, IL, *0615 ********@********.*** +1-217-***-****

https://www.linkedin.com/in/aakash-gupta-648574220/ Profile

• Quantitative Researcher & Data Analyst with interests in Data Analysis, Analytics, or Computer Science

• Technical: Java, C#/C++ (Proficient), Python - NumPy, SciPy, Pandas, Transformers, Scikit-Learn, PyTorch, Seaborn; R, SAS (Proficient); Office 365 – Word, Excel, PowerPoint (Intermediate), SQL (Basic); Databases

• Skills: Research Design, Game Theory, Economic Modeling, Data Cleaning, Big Data Analysis, Economic Forecasting, Applied Econometrics, Machine Learning, NLP, Data Visualization, Reporting, Strategy

• U.S. Citizen; Languages: English (Native), Hindi (Intermediate), Spanish (Basic) Education

University of Chicago, Master of Arts in the Social Sciences in Economics Sept 2024 – June 2025 Coursework: Current Courses: Empirical Analysis, Social Science Analysis, International Trade: Banking & Capital Markets, Machine Learning for Finance, Money & Banking, Econometrics & Machine Learning, Causal Inference University of Illinois at Urbana-Champaign, Bachelor of Science in Statistics Double Major in Economics and Statistics, Minor in Computer Science Aug 2020 – May 2024

GPA: 3.94

Work Experience

University of Illinois at Urbana-Champaign – Champaign, IL Research Assistant

Dec 2023 – Mar 2024

• Conducted advanced data analysis and statistical modeling in R to study Giffen good behavior in economic experiments.

• Utilized Maximum Likelihood Estimation (MLE) and Method of Moments (MOM) to estimate key economic parameters.

• Collaborated with a professor on modeling consumer behavior, contributing to research in economic theory. TalentSavvy – New York City

Software Engineer Intern

May 2023 – Aug 2023

• Designed and implemented a Rules Engine to measure IT team productivity, improving workforce evaluation.

• Identified and integrated an external software solution, reducing development time by two weeks.

• Developed 15+ customizable rules for assessing team effectiveness and optimized workflow automation.

• Led client-facing proof-of-concept demonstrations, showcasing prototype functionality to potential customers. University of Hyderabad - Telengana

Independent Researcher

May 2022 – Aug 2022

• Investigated and synthesized pandemic models (SIR models), focusing on their economic implications.

• Authored a comprehensive literature review evaluating different model assumptions, methodologies, and limitations..

• Developed data cleaning algorithms to detect anomalies in datasets, ensuring accuracy in economic simulations. Projects

Illinois Data Science, UIUC, Champaign, Illinois

Project Lead, February 2023 - April 2023

Feb 2023 - Apr 2023

• Led a team in analyzing 4,000+ hotel reservations, predicting cancellation probabilities using Random Forest and Lasso regression.

• Optimized hyperparameters using bootstrap techniques and cross-validation to enhance predictive accuracy.

• Developed a logistic regression model to minimize false positives, improving cost-efficiency in hotel operations.

• Stepped up as team lead, coordinating presentations and ensuring project completion despite team attrition. AI in Society, UIUC, Champaign, Illinois

Trends Analyst, January 2024 – May 2024

Jan 2024 - May 2024

• Processed and analyzed 2TB+ of New York Times articles and user comments to examine public perception of AI over time.

• Applied BERT-based sentiment analysis and topic modeling to extract key trends in AI discussions.

• Identified major themes influencing AI discourse, including privacy, automation, and geopolitical concerns.

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