Stock Market Prediction Using Historical Data & Sentiment Analysis

An end-to-end data science project combining NLP and time-series forecasting.

Github
  • Built a Python pipeline using NLTK, TensorFlow, and Keras
  • Performed data preprocessing and feature engineering on textual and temporal data
  • Implemented and compared multiple ML and deep learning models
  • Evaluated performance using standard metrics to identify optimal models

MongoDB Data Processing

A hands-on NoSQL data processing and analytics project.Github
  • Set up and configured MongoDB environments
  • Designed aggregation pipelines using $match, $project, $group, $sort, and $count
  • Transformed large datasets into structured, meaningful outputs
  • Focused on efficient querying and performance optimization

Employee Performance & Compensation Analysis

Interactive Tableau dashboard for workforce performance and satisfaction analysis

Github
  • Analyzed a 72,000+ record employee dataset spanning 11 years to uncover performance, satisfaction, and training trends using data visualization techniques.
  • Designed an interactive Tableau dashboard with filters, parameters, and calculated fields to enable branch-, department-, and performance-level drill-down analysis.
  • Delivered actionable workforce insights by identifying top-performing branches and departments and highlighting key drivers such as employee satisfaction and training.

Fire-Extinguishing Autonomous Bot

A hardware-software project aimed at improving safety in emergency situations.
  • Designed an autonomous robot to detect and extinguish fire
  • Integrated sensors and actuators for reliable environment sensing
  • Implemented simple yet robust control logic for dependable operation
  • Tested and refined navigation and fire-extinguishing behavior for consistency