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Computer Engineering Grad | Data Science & ML Enthusiast | Built smart systems from health risk to stock trends | Open to IT & tech roles 🚀
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Combat-Readiness-System
August 1, 2025 – August 4, 2025
Combat Readiness System: Created a real-time health monitoring system using machine learning for predictive analysis and decision making support.
View ProjectSTOCK-MARKET-ANALYSIS
July 24, 2025 – July 24, 2025
Analyzed and forecasted Apple stock prices using EDA and time-series models (Linear Regression, ARIMA, LSTM, XGBoost). Compared model performance with visualizations and evaluation metrics.
View ProjectCOMBAT-READINESS
June 24, 2025 – July 18, 2025
Combat Readiness is a health monitoring and predictive analytics system designed to assess the physical fitness of soldiers during training. It uses sensor data and machine learning to detect health risks early, enabling safer deployments and improving mission preparedness.
View ProjectPREDICTIVE-MAINTENANCE
June 24, 2025 – June 24, 2025
A data science project that predicts equipment failures using sensor data to enable proactive maintenance and reduce unplanned downtime.
View ProjectData-Science-Assignments
September 14, 2024 – October 2, 2024
This repository contains a series of data science assignments focused on key concepts such as data cleaning, EDA, ML algorithms, and data visualization. Each assignment uses Python along with libraries like pandas, NumPy, scikit-learn, Matplotlib, and Seaborn to demonstrate real-world applications and hands-on learning.
View ProjectData-Science-at-ExcelR
July 20, 2024 – September 13, 2024
A collection of Jupyter notebooks showcasing various data science projects, analyses, and machine learning models. Each notebook includes detailed explanations, data visualizations, and code snippets to help understand and replicate the analyses. Ideal for learning, collaboration, and demonstration of data science skills.
View ProjectData-Science-in-DevTown
July 19, 2024 – August 7, 2024
Welcome to my GitHub repository of daywise Python notebooks for data science. Each notebook covers essential topics, from data manipulation with Pandas to advanced machine learning.This resource is perfect for building a solid understanding of data science concepts. explore and contribute to this comprehensive learning journey.
View ProjectCHATBOT-SONG-RECOMMENDER-SYSTEM
July 19, 2024 – July 19, 2024
The Chatbot Song Recommender System is an AI-driven chatbot that detects user emotions (happy, sad, angry, neutral, rock, surprise) and recommends music accordingly. Utilizing NLP and ML with Python, TensorFlow, Keras, and NLTK, it provides personalized music suggestions based on mood. This project showcases my expertise in AI and ML.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on personal learning and application of data science concepts, which aligns with a culture of continuous improvement and hands-on problem-solving. The diversity of project topics suggests adaptability and a broad interest in data science applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate an ability to work independently on technical challenges.