Priyanshu Mehta

• Phone: 404-940-9427
• Email: pmehta305@gatech.edu
• LinkedIn: linkedin.com/in/priyanshumehta
• GitHub: github.com/priyanshum17

Education

Georgia Institute of Technology, Atlanta, GA
Bachelor of Science in Computer Science
Aug. 2022 – May 2025
GPA: 4.0 (Faculty Honors)
Specialization: Artificial Intelligence & Modeling-Simulation
Key Courses: Data Structures & Algorithms, Computer Organization & Programming
Activities: Active Member of Venture Capital, Quantitative Trading, & Data Science Clubs. International Student Government Representative and Joint Finance Committee Member, managing a $2.1M budget.

Experience

Data Science & Machine Learning Intern
May 2023 – August 2023
Go India Advisors
Technologies: Python, TensorFlow, Selenium, Scapy, AWS, Atlassian Git, Beautiful Soup
Achievements:

• Augmented 1.5 million data points in a real-time database using web scraping for publicly-listed companies.
• Employed a Monte Carlo model to predict sector-wise movements with 87% accuracy, providing strategic insights.
• Designed NLP algorithms for entity recognition & sentiment analysis, linking price movements with data.
• Built a ChatBot with GPT API and LangChain, extracting insights from financial statements 45% faster.

Undergraduate Researcher
August 2023 – Present
Financial Services Innovation Lab, Georgia Institute of Technology, Atlanta, GA
Focus: Employing Machine Learning in quantitative trading strategies.

Technology Intern
June 2020 – June 2021
Naskraft IT Solutions
Achievements:

• Designed and deployed a concurrent transaction database with encryption and backup data management.
• Enhanced internal testing tools with AWS automation, achieving 30% faster testing.

Projects & Publications

• Stock Sentinel (June 2023 – July 2023): Implemented sentiment analysis using FinBERT NLP LLM to predict market trends. Achieved 80% faster article retrieval through real-time news aggregation.
• Asset Arbitrage (Feb 2023 – August 2023): Developed an algorithm for arbitrage window, reducing latency by 30% through asynchronous programming.
• NavHeal (May 2020 – March 2022): Mobile app for emergency services for hemophilic patients, reducing response time by 53%. Awarded 'Lifetime Achievement Award' by the Hemophilia Federation India.
• Identify the Human or Bots in Twitter Data (May 2021 – Oct 2021): Published in the Science and Engineering Journal, 2021, Vol. 25 (6); 9-31.

Technical Skills

Languages: Python, Java, JavaScript, C++, SQL, Scala, Julia, MATLAB
Frameworks: TensorFlow, Selenium, Scapy, NumPy, Pandas, QuantLib, Apache Spark, Hadoop, React, Node.js
Developer Tools: Git, Docker, Jupyter Notebook, Google Cloud, AWS, Tableau, Visual Studio, PyCharm, IntelliJ
Libraries: pandas, NumPy, Matplotlib, LangChain, Beautiful Soup, PyTorch, TensorFlow, NLTK, TA-Lib, backtrader, QuantConnect