Remote Sensing Image Analysis
Utilized python to analyze Data DIOR and TGRS and Performed dataset collection, image processing, took 3 classes from DIOR and 13 classes from TGRS dataset and used Flask for deployment.
Projects
IPL World Cup Cricket Score Prediction
Performed data preprocessing, data extraction, encoding categorical data, feature extraction etc.,. Applied and implemented XGBoost, Random Forest for regression to produce a final model.
Real-Time Rapido User Ride data Analysis
Developed Bike Ride Prediction classification model & debugged in a team of 4-persons using Python, Java, ML, EDA. Enabled users to be predict the demand of rides based on 50+ data points.
Zomato Review Analysis
Conducted sentiment analysis on Zomato reviews using advanced NLP techniques like Regex, Bag of Words, and Naïve Bayes. Achieved 79% accuracy in classifying customer sentiments, offering actionable insights for business improvement.
Feature Extraction From Images
Implemented OCR models (DocTR, PaddlePaddle) for text extraction, visual language models (QwenVL) for image-to-value extraction, achieving an F1 score of 0.6593 & handled data at higher volume.
IPL Win-Loss Probability Prediction
Developed an IPL win-loss probability prediction model using machine learning techniques, Python. Deployed the model as an interactive web application using Streamlit for real-time user interaction.
American Express Data Analysis
Designed a deep learning model using ANN to analyze American Express customer data for binary classification. Achieved predictive insights & deployed a scalable solution with advanced data preprocessing & performance evaluation.
Identifying Risk Factors affecting Dental caries
Implemented a pre-trained model on Logistic Regression, Random Forest for Regression models to produce a final model by comparing the models for better results. The models are evaluated.