Ramyasri Veerapaneni
Recent Master's Graduate In Computer Science
Richmond,Mississippi
Summary
Motivated student currently working towards degree in Computer Science. Adept at prepping resources, equipment, and materials for research. Extensive background in investigating Computer Science.
Overview
1
1
year of professional experience
6
6
years of post-secondary education
5
5
Certifications
Work History
Graduate Research Assistant
MISSISSIPPI STATE UNIVERSITY
Starkville, Mississippi
08.2023 - 08.2024
- Co-developed K-mer Graph Neural Network (GNN) model for predicting Minimum Inhibitory Concentrations (MICs) of non-typhoidal Salmonella.
- Enhanced prediction accuracy by leveraging advanced GNN models, outperforming traditional machine learning methods.
- Implemented and evaluated model, providing significant insights into antimicrobial resistance.
- Published research as second author in EMBC, presenting findings on MIC prediction models.
- Participated in regular team meetings, delivering progress updates, addressing challenges, and discussing potential areas for improvement.
Research Intern
High Performance Computing Collaboratory
Starkville, Mississippi
06.2023 - 08.2023
- Analyzed genomic data to identify antibiotic similarities, focusing on evaluating their mechanisms of action using high-performance computing tools.
- Conducted k-mer subsequence analysis via longest common subsequence metric and co-occurrence analysis, uncovering significant genomic patterns.
- Learned PyTorch during this role to enhance understanding of advanced machine learning frameworks and their applications in genomic data processing.
Education
Master of Science - Computer Science
Mississippi State University
Starkville, MS 08.2022 - 08.2024
Bachelor of Science - Computer Science
R.M.K College Of Engineering And Technology
Tamil Nadu, India 08.2018 - 05.2022
Skills
Python Programming
Data Mining
Machine Learning
Tableau Software
Predictive modeling
Data Storytelling
Data Wrangling
Web Scraping
SQL and Databases
Problem-Solving
Analytical Skills
Decision-Making
Teamwork and Collaboration
Problem-solving abilities
Time Management
Excellent Communication
Additional Information
Projects:
1. Stock Market Portfolio Optimization with Sensitivity Analysis
Analyzed historical data for RELIANCE.NS, TCS.NS, INFY.NS, and HDFCBANK.NS over a 1-year period using Python and yfinance.
Optimized portfolio with a Sharpe ratio of ~1.93, identifying the best asset allocation through 10,000 random portfolio simulations.
Achieved 31.34% expected return and 16.26% volatility by analyzing historical data and visualizing the efficient frontier.
Conducted sensitivity analysis, showing that a 42-day rebalancing interval with low transaction costs maximized returns.
Tools: Python (pandas, numpy, matplotlib, seaborn), yfinance.
Certification
Google Data Analytics
Timeline
IBM: Python Project for Data Science
08-2024
HackerRank: SQL(Intermediate)
08-2024
Google Data Analytics
06-2024
Tableau 2024 A-Z : Hands-on Tableau training for Data Science
05-2024
HackerRank: SQL(basic)
05-2024
Graduate Research Assistant
MISSISSIPPI STATE UNIVERSITY
08.2023 - 08.2024
Research Intern
High Performance Computing Collaboratory
06.2023 - 08.2023
Master of Science - Computer Science
Mississippi State University
08.2022 - 08.2024
Bachelor of Science - Computer Science
R.M.K College Of Engineering And Technology
08.2018 - 05.2022
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