Computer Science Engineering undergraduate with hands-on experience in full-stack web development and AI-based solutions. Proficient
in Python, Java, and JavaScript, with working knowledge of React.js and Node.js.
I'm Hema Tejaswi, a BTech Computer Science student at Techno Institute of Engineering and Management, Kolkata. My journey in tech started with a curiosity about how things work — and evolved into a passion for building intelligent, impactful applications.
From developing an AI-powered dropout detection system for SIH 2025 to building NiveshView — a full-stack finance dashboard with ML insights — I thrive at the intersection of code and creativity.
Beyond coding, I'm an active member of my university's coding club and the Google Student Campus Ambassador Program. I believe in collaborative learning and giving back to the tech community.
Feb 2026 – Apr 2026
Infyntrek Systemes
Developed full-stack AI-powered financial intelligence platform focusing on personal finance management and business analytics solutions.
Built NiveshView — a Personal Finance Management Dashboard with React.js, Python, and machine learning algorithms for expense tracking, budget analysis, and AI-powered financial insights.
Dec 2023 – Dec 2024
Codess.Cafe — Women in Tech
Selected from 750+ applicants nationwide for a prestigious 12-month mentorship program focused on empowering women in technology and software engineering.
Collaborated with senior software engineers and industry mentors on technical projects, participating in code reviews, architecture discussions, and pair programming sessions.
2023-2027
Techno Enigneering College Banipur
2022
City Public School
2020
Mount Liter Zee High School

An ML-powered system developed for Smart India Hackathon 2025 that predicts student dropout risk by analyzing academic performance, attendance, behavioral patterns, and socio-economic indicators. Includes a personalized counselling framework with PowerBI interactive visualizations for real-time monitoring.

A comprehensive personal finance management platform with automated expense tracking, budget analysis, and AI-powered financial insights. Features interactive dashboards with real-time data visualization, predictive analytics for spending patterns, and personalized recommendations using ML algorithms.
Key Outcomes:
Automated expense tracking and categorized spending with high accuracy.
Provided real-time financial insights through interactive data visualizations.
Implemented predictive analytics for forecasting future spending patterns.