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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 HTML

Statistical Techniques

Bayesian Regression PCA Time Series Analysis Stochastic Processes Machine Learning

Ashutosh's github activity graph

Current & Recent Projects

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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 ML algorithms (PCA dimension reduction and PAM clustering) with socio-economic and health factors that determine the overall development of the country. Then we can s…

    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. Custom-CPI-Analysis-Research Custom-CPI-Analysis-Research Public

    Created a custom CPI for college students, analyzing essential products and services. Using API data retrieval and weighted calculations, I assessed inflation trends and compared my CPI with the ge…

    Jupyter Notebook 4

  5. Student-Online-Learning-Adaptability-Project Student-Online-Learning-Adaptability-Project Public

    Explore factors influencing students' adaptability to online learning through machine learning techniques, including Random Forest, SVM, and Neural Networks. Identify key characteristics and devel…

    Jupyter Notebook 4

  6. Credit-Risk-Assesment-Mini-Project Credit-Risk-Assesment-Mini-Project Public

    Analyzes credit risk using logistic regression on customer attributes to predict credit risk (high/low). It processes datasets, visualizes relationships, and trains the model. The model aids banks …

    Jupyter Notebook 4 1