Harshini Harshu

Driven Computer Science graduate pursuing Data Science internship to leverage Python, SQL, and Machine Learning expertise in addressing real-world challenges

• Hackathon certificate participant
• Gen AI-powered data analytics job simulation certification of completion from Forage
• Completed Python and data science courses in GeeksforGeeks

1. Stock market analysis and prediction

Tools: Python, Pandas, Numpy, Scikit-Learn

• Collected and cleaned historical stock data from Yahoo Finance using Python
• Engineered features like moving averages and volatility indicators
• Built a linear regression model to predict closing prices with 87% accuracy
• Visualized trends using Matplotlib to support investment decisions

2. Pseudocode generator for Python code

Tools: Python, Regex, AST (Abstract syntax, NLP techniques

• Built a Python tool to auto-generate pseudocode from scripts, improving code readability and onboarding speed
• Designed input/output modules to parse functions, detect control structures, and format results for IDES
• Boosted debugging efficiency by 40% through annotated pseudocode outputs and CLI-based integration

3. Instagram video downloader

• Tools:Python,Requests,Beautiful soup, Command line interface(CLI)
• Developed a Python-based tool to automate the downloading of public Instagram videos, enabling fast, offline access via the command line

4. YouTube search bar generator

Tools:HTML,CSS,Javascript

• Built a dynamic search interface that redirects users' queries to YouTube using encoded URLs and DOM manipulation, enhancing UX with real-time search functionality
• Integrated input validation and responsive design for mobile compatibility
• Packaged as reusable widgets for embedding in web apps or dashboards

5. URL shortener web applications

Tools: Python, FastAPI, SQLite, HTML, CSS, JavaScript

• Reduced redirect latency to
• Handled some shortened URLs with secure storage and retrieval via SQLite
• Deployed with CI/CD pipeline, ensuring 90% uptime and seamless updates

• Reading technologies and blogs
• Exploring new places and cultures
• Experimenting with recipes and cooking

• Created dashboards using Power BI
• Participating in Coding Chef at Geeks for Geeks
• Participating in a quiz in Copilot