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Achievement: Pull Shark

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Achievement: Pull Shark

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RoryQo/README.md

I’m a Master’s student in Quantitative Economics at the University of Pittsburgh, where I also earned my Bachelor’s in Economics and Statistics. You can learn more about my work in my university bio linked below.

University Bio

I’m currently enhancing and applying my skills in and econometric modeling, aiming to address real-world economic challenges, particularly in research applications such as analyzing consumer behavior, risk management, improving business efficiencies, and examining labor market factors. Explore how I implement these skills in the pinned repositories section below.

Fun fact: Sharks have existed longer than trees and have survived five mass extinction events!

Technical Skills

Python R SQL HTML

Statistical Techniques

Bayesian Regression Time Series Analysis Stochastic Processes Machine Learning

Ashutosh's github activity graph

Current & Recent Projects

Readme Card Readme Card

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  1. Public-Sector-Data-Demand_Research-Framework-For-Market-Analysis-And-Classification Public-Sector-Data-Demand_Research-Framework-For-Market-Analysis-And-Classification Public

    Flexible framework for identifying third-party data demand in public sector job postings, combining automated data scraping, weakly supervised labeling, structured feature engineering, and natural …

    Jupyter Notebook 1

  2. PGH-Neighborhood-Parcel-Price-Research PGH-Neighborhood-Parcel-Price-Research Public

    Models parcel prices across Pittsburgh to isolate the effect of location by controlling for parcel characteristics. Uses WLS regression and ANCOVA to estimate adjusted prices, then links price vari…

    Jupyter Notebook 1

  3. Age-Correlation-in-Married-Couples-Bayesian-Analysis-Challenge Age-Correlation-in-Married-Couples-Bayesian-Analysis-Challenge Public

    Using age data from 100 sampled U.S. married couples, hypothesize a semiconjugate prior, generate a predictive data set to confirm the hypothesis, and use Markov Chain Monte Carlo (MCMC) approximat…

    R 7

  4. Corporate-Fatigue-Risk-Modeling Corporate-Fatigue-Risk-Modeling Public

    A machine learning-driven project for analyzing and predicting workplace stress and burnout risk to support employee well-being and policy decisions.

    Jupyter Notebook 2

  5. Difference-in-Number-of-Children-by-Education-Level-in-Men Difference-in-Number-of-Children-by-Education-Level-in-Men Public

    Using a Bayesian Poisson model and sampling with Monte Carlo simulations to analyze whether men with a bachelor's degree have fewer children on average than those without, while accounting for pote…

    R 10

  6. Evaluating-Study-Time-Differences-Across-Schools Evaluating-Study-Time-Differences-Across-Schools Public

    Use conjugate priors and monte carlo process to asses the differences of mean study times between schools.

    R 9