Hello! I'm Saharsh, a data-driven developer and aspiring quantitative analyst based in Atlanta. As a computer science student at Georgia State University, I'm passionate about leveraging data analytics and machine learning to derive actionable insights. My journey in tech is fueled by the intersection of finance and technology, with experience spanning from sentiment analysis algorithms to predictive modeling applications.
My technical foundation combines modern tools with analytical prowess. I'm proficient in Python for data analysis and machine learning, using libraries like Pandas, NumPy, and Scikit-learn for robust statistical modeling. On the development side, I work with React.js and Node.js to build interactive data visualization platforms, while utilizing SQL and MongoDB for efficient data management. This powerful combination allows me to create applications that not only process complex datasets but also present insights in intuitive, actionable ways.
As a developer focused on quantitative analysis, I approach each project with both technical precision and business acumen. I believe in creating solutions that bridge the gap between complex data systems and practical business applications. My dedication to both technical excellence and business understanding enables me to develop tools that transform raw data into strategic advantages.
I'm particularly interested in financial technology and algorithmic trading systems. Whether it's developing sentiment analysis models for market prediction or creating interactive dashboards for portfolio analysis, I'm passionate about using technology to revolutionize how we understand financial markets. Let's explore how data-driven solutions can create competitive advantages in today's quantitative landscape.
Ready to start your project? Contact me at saharshbaweja@gmail.com.
01.
Market Moves: Sentiment Analysis Stock Evaluator
A financial analytics tool that performs sentiment analysis on earnings call transcripts and market news to predict stock movements. Features real-time data processing, NLP-based analysis, and interactive visualizations. Built with Python Flask backend and React.js frontend.
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02.
Personal Finance Dashboard
An interactive dashboard for tracking and visualizing personal finances. Features include budget tracking, expense categorization, and financial goal setting. Built using Python and Dash.
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03.
TaskMate: Web Task Manager
A full-stack task management application featuring real-time updates, user authentication, and customizable task categories. Built with React.js for the frontend and Node.js/Express backend with MongoDB database integration.
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04.
Python Password Manager
A secure application to store and manage passwords. Key features include encryption, password generation, and a user-friendly interface. Developed using Python with libraries like Tkinter.
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Code Ninjas: Coding Instructor
As a Coding Instructor at Code Ninjas, I lead engaging programming sessions for students ages 7-14, teaching fundamental concepts through game development. I serve as a Camp Sensei during school breaks, managing daily activities and curriculum for groups of 15+ students. By utilizing platforms like JavaScript, Scratch, and Roblox Studio, I help students develop problem-solving skills and programming fundamentals through hands-on projects. I adapt teaching methods to different learning styles and create an interactive environment where students can explore coding creatively while building strong technical foundations.
GSU: University Tutor (CS 1301 & Calc 2211)
In my current role as a tutor at my university, I provide comprehensive support to students in CS 1301 (Introduction to Computer Science) and Calc 2211 (Calculus I). For CS 1301, I assist students with foundational programming concepts using Python, including data structures, algorithms, and object-oriented programming, guiding them through coding assignments and debugging techniques. In Calc 2211, I help students with advanced calculus topics such as integration techniques, differential equations, and multivariable calculus, offering tailored explanations and problem-solving strategies. My responsibilities include one-on-one tutoring, group study sessions, and developing instructional materials, while collaborating with professors to ensure alignment with course objectives and enhancing the overall learning experience.
Project Intern: Jetson App
During my internship at Jetson, I collaborated with a team of high school interns to provide a valuable youth perspective on business strategies, driving innovation and customer-centric solutions. I proposed and developed code for user interface improvements and automated marketing processes using Python and JavaScript. My contributions included creating interactive prototypes and implementing feedback mechanisms to better understand teenage customer needs. I also assisted in marketing initiatives and outreach programs, leveraging tools such as Google Analytics for performance tracking, Canva for promotional materials, and social media platforms like Instagram and TikTok for campaign execution, ultimately enhancing engagement with Jetson's fintech and investment offerings.