RK

Computer Science • AI Applications • Python

Riya Kulkarni

Computer Science and Business Systems student building thoughtful software with a strong interest in machine learning, intelligent systems, and practical AI applications.

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  • Pune, Maharashtra, India

Profile

About

I am an eager Computer Science and Business Systems student with a solid foundation in Python and a growing focus on machine learning models and their real-world applications. I enjoy understanding how AI can be applied across domains in a practical way, and I like building systems that combine clear logic, usable interfaces, and reliable outputs.

Selected Work

Projects

Machine Learning • Quant Finance

Stock Market Direction Predictor for Indian Equities

A full-stack stock analysis platform built to support equity screening and short-term direction prediction using real-time Indian market data.

  • Built a hybrid pipeline with EMA, SuperTrend, moving averages, and a Random Forest model for next-day forecasting.
  • Used walk-forward backtesting and precision-focused evaluation to assess prediction reliability.
  • Integrated volatility-aware risk estimation to improve decision support.
  • Designed an interactive interface with stock search and scalable backend integration.
NLP • Knowledge Graph • Rule-Based AI

Movie Savant: Knowledge-Graph-Based Movie Expert System

A hybrid movie expert system for natural-language querying over films, actors, directors, genres, and release years.

  • Combined knowledge-graph ingestion, rule-based query handling, fuzzy title matching, and contextual memory.
  • Built a CSV-to-database pipeline with entity–relationship modeling for stronger answer reliability.
  • Designed a ChatGPT-style frontend with query suggestions, confidence-aware responses, and conversation history.
  • Focused on efficient, scalable retrieval for multi-turn movie conversations.

Foundation

Skills

Programming

Python, C++

Backend & Data

MySQL

Core CS

Operating Systems, Software Engineering, Data Structures and Algorithms

Professional Skills

Critical Reasoning, Teamwork, Communication, Problem Solving

Academic Journey

Education

MIT WPU

BTech, Computer Science and Business Systems

CGPA (SEM V): 8.5
2023 – 2027

P.E.S. NCL School and Junior College

Higher Secondary School

Percentage: 81%
2021 – 2023

Recognition

Achievements

  • Achieved 3rd rank in school as the overall topper in 12th grade.
  • Selected in Smart India Hackathon 2025 at the national round.

Connect

Contact

Open to internships, software projects, AI-focused collaborations, and conversations around machine learning, intelligent systems, and product-oriented development.

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