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Achievements

Achievement: Pull Shark

Achievements

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 Statistics and Economics. My academic journey has given me a strong foundation in data science and econometrics; complemented by hands-on experience leading a data analysis team focused on enhancing student financial literacy. You can learn more about my work below.

University Bio Personal Website

I’m currently enhancing and applying my skills in data science and econometric modeling, aiming to address real-world economic challenges. Explore how I implement these skills in the project section of my portfolio website or the pinned repositories below!

I’m eager to explore data science, econometric modeling, and machine learning approaches, particularly in research applications such as analyzing consumer behavior, risk management, improving business efficiencies, and examining labor market factors.

Fun fact: Sharks have existed longer than trees and have survived five mass extinction events! Their incredible resilience inspires me to embrace challenges and find innovative solutions in my work.

Technical Skills

Python R SQL Excel

Statistical Techniques

Bayesian Regression PCA Time Series Analysis Stochastic Processes Machine Learning

Ashutosh's github activity graph

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  1. Tuition-Variation-Research Tuition-Variation-Research Public

    This project predicts tuition rates for U.S. public and private universities using linear regression with leave-one-out cross-validation. Helping to assess if a college market price, maximizing ROI…

    R 4

  2. Country-Needs-Assessment-for-Humanitarian-Aid-Challenge Country-Needs-Assessment-for-Humanitarian-Aid-Challenge Public

    Categorize the countries using Partitioning and K-mean clustering with socio-economic and health factors that determine the overall development of the country. Then we can suggest the countries whi…

    R 5

  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 6

  4. Research-Reproduction_Causal-Effect-of-Segregation-on-Poverty-Rates Research-Reproduction_Causal-Effect-of-Segregation-on-Poverty-Rates Public

    Investigate how racial segregation influences urban poverty and inequality, using railroad track layouts as an instrumental variable (IV) to estimate the causal impact of segregation on poverty rates.

    5

  5. Duolingo-Vs-Anki-Effectivness Duolingo-Vs-Anki-Effectivness Public

    Evaluate the effectiveness of Duolingo and Anki by analyzing how study hours correlate with final exam scores among foreign language students. By using ANCOVA to check interaction terms and assess …

    R 5

  6. Research-Reproduction_Washington-Female-Socalization Research-Reproduction_Washington-Female-Socalization Public

    Analyze the impact of having daughters on U.S. legislators' voting behavior on women's issues, based on Ebonya Washington's 2008 research.

    R 4