Riya Chaudhary

About

Computer Science Engineering student at Guru Gobind Singh Indraprastha University with hands-on experience in web development and machine learning. Builds data-driven applications using Python, Flask, React, and ML frameworks.

Experience

• Web & ML Intern
  Credex Technology
  Jun 2026 – Aug 2026
• Web Development Intern
  Assorts Machine Tools
  Mar 2025 – Jul 2025

Education

• B.Tech.
  Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi
  Computer Science Engineering · Aug 2023 – Jun 2027

Skills

• SQL
• C
• Data Preprocessing
• FastAPI
• Python
• Machine Learning
• Prompt Engineering
• Data Science
• CSS3
• JavaScript
• Clustering
• Classification
• Feature Engineering
• Matplotlib
• Model Evaluation
• NumPy
• Pandas
• scikit-learn
• React
• Flask
• TensorFlow
• Keras
• Natural Language Processing
• HTML5
• Regression
• Gemini APIs
• Ensemble

Projects

• Mental Health Score Predictor - Machine Learning Web Application ↗
  Python, Scikit-learn, FastAPI

  Built and deployed an ML application to predict mental health scores from social media, lifestyle, academic, and behavioral attributes. Implemented preprocessing, categorical encoding, model training, evaluation, and serialization using Scikit-learn and Joblib. Developed a FastAPI REST API with Pydantic validation and integrated it with a web frontend for real-time predictions.

• EquityLens - AI-Powered Stock Analytics & Prediction Platform ↗
  Python, Flask, LSTM, SQLite

  Built and deployed a financial analytics platform with latest market data with 2-minute auto-refresh, EMA/RSI/MACD indicators, multi-stock comparison, and LSTM-based price forecasting. Implemented authentication, watchlists, analysis history, admin controls, and data export using Flask and SQLite. Integrated a pre-trained LSTM model for 15-day forecasting and deployed the application using Gunicorn and Render.

• Aadhaar Inclusion Risk Score (AIRS) - AI Governance System ↗
  Python, ML, Data Analytics

  Analyzed 4.35M+ UIDAI records to identify and predict Aadhaar inclusion risks across demographic and geographic attributes. Applied Random Forest, XGBoost, and LightGBM with statistical analysis to identify high-risk inclusion patterns. Developed data-driven risk insights linking identified risks to targeted policy interventions.

⚽ Extracurricular activities

• DIRECTOR | DRISHTI, Rotaract Club of BPIT

  Led 35+ members across 45+ awareness campaigns, reaching 200+ students through awareness initiatives. Managed and guided a team of 35+ executive committee members, fostering collaboration and efficiency. Spearheaded 45+ awareness campaigns focused on mental health, menstrual hygiene, and inclusivity

• WBID (Women in Big Data Science)

  Created 45+ visual assets across 3 campaigns, contributing to 30% higher event participation and engagement. ollaborated with program leads, content strategists, and outreach teams to deliver 30+ consistent visuals across 3 campaigns, improving visual coherence and timely execution. Developed user-centric graphics using design thinking, boosting event participation and online engagement by 30%