Welcome to Elenka's Workspace!

Bio

Currently an M.S. in Quantitative Management: Business Analytics & Finance Candidate at Duke University, the Fuqua School of Business, I home in on real impact and hope to utilize my critical thinking and data analytical skills to foster a better world. Specifically, my passion is in investment analytics and healthcare data analytics.

• 🔭 I’m currently living in Durham, NC
• 🌱 I’m interested in Modern Analytics | AI in Healthcare | Everyday World Trend
• 👯 I’m looking for full-time roles as a Data Scientist or investment Analyst after graduating May 2024
• ⚡ MBIT: ENTJ - A
• 😊 Fun Facts: I'm a carnivore in songs

👨‍💻 Data Science Projects

1.Navigating A Self-Driving Car Using CNN (Python)

• In this project we leveraged deep learning to enhance unmanned driving, focusing on autonomous navigation and lane following using a Python-based agent trained with Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP).
• Nvidia Model (2019)
• LightNet 1 (2022)
• LightNet 2 (2020)

2. Credit Risk Analysis And Customer Churn Prediction (R)

   • Data visualization, Predictively Modelling, Expected Profit Framework
   • Dataset: [https://www.kaggle.com/competitions/home-credit-default-risk/data]

3. TikTok's Trending Videos and Top TikToker Analysis (Python) (link)

4. MLB Moneyball: Decoding Baseball Sabermetrics (SQL)

   • In the world of Major League Baseball (MLB), the abundance of data has become a game-changer. Inspired by the concept of “Moneyball,” this project aims to leverage data-driven insights to provide valuable insights into player scouting, team strategy, and performance evaluation.
   • Comparative Advantages & Disadvantages
   • Tanking Tactics
   • Does friendliness improve Performance?
   • Identify Breakout Players

5. Health Insurance Policy Evaluation on Medical Utilization and Health Behavior (Stata)]

   • Explored causal effects of the New Cooperative Medical Scheme (NCMS) on healthcare utilization and health behaviors among non-urban Chinese citizens via the Instrument Variable (IV) Regression Model.
   • Discovered that NCMS significantly increases rural residents' chance of visiting formal doctors rather than barefoot by 6.73% and their attention to exercise and diets by 0.75 units out of a Likert Scale of 5.

6. Does A Wealthier and Older Society Boost Household Healthcare Spending? (R, EViews)

   • Collected time series data from the Organization for Economic Cooperation and Development (OECD) and the National Bureau of Statistics of China (NBS-CN) to perform exploratory analysis in EViews.
   • Built an Autoregressive Distributed Lag Model to estimate the dynamic effects of per capita income (GDP) and aged population share (AGE) on household healthcare expenditure (HHE) in China, showing that both GDP and AGE are significant drivers of HHE and display predictive power over future HHE.

7. Research on the Phenomenon of Industrial Clusters of Registered Firms in China (Python)

   • Perform Research Assistantship: Data Cleaning and Model Build-up

8. P-hacking Detection in Asset Pricing Papers

   • Perform Research Assistantship: Data Cleaning and Model Build-up

9. Semi-Conductor Industry Data Visualization

👨‍💻 My BookList 2023

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