Green-O-Meter
Academic
Smart IoT device integrating AI and blockchain for real-time vehicular pollution monitoring, enabling secure and accurate emissions tracking.
AI
Blockchain
IoT
Analyst with a strong foundation in C++ and hands-on experience in Python, R, and SQL. Skilled in analytics, feature engineering, statistical methods, and model optimization, with experience applying machine learning techniques to real-world business problems.
Featured Projects
Personalized Streaming Content Recommendation
Academic
Recommendation system using Python and Tableau, leveraging EDA and ML algorithms to generate optimized OTT content suggestions.
Python
Tableau
Automated Wheat Disease Diagnosis
Academic
Deep-learning based wheat disease classification using VGG19, achieving ~93% accuracy for image-based disease detection.
Deep Learning
DataVizMuseum
Academic
Curated collection of Tableau dashboards showcasing analytics, storytelling, and data-driven insights from multiple domains.
Tableau
Healthcare Data Management System
Academic
MERN stack healthcare platform for real-time clinical record access, secure auth, and optimized database performance.
MongoDB
React
Express
Node.js
More Projects
Explore additional repositories, experiments, and dashboards on my GitHub.
Explore GitHub →Professional Journey
Data Analyst
Dec 2025 – PresentShadowfax
Analyzing business and operational data to support Strategy, Planning & Analytics (SP&A) for e-commerce, delivering insights through SQL- and Python-based analysis, KPI tracking, and structured reporting to enable data-driven decisions.
Data Science Intern
Sep 2023 – Nov 2023INSAKE INTELLIGENT SOLUTIONS LLP, Hyderabad
Analyzed 1M+ financial records using econometric and statistical methods to detect trends and anomalies, delivering predictive models and actionable insights.
ML Intern
Jul 2023 – Aug 2023SUVIDHA FOUNDATION, Nagpur
Improved NLP models for text classification and summarization, boosting accuracy and reducing processing time through data-backed experimentation.
Publications & Recognition
Conference Topic
Cyclone Chronicles: A Comprehensive Survey of Advancements in Cyclone Prediction Techniques
Survey of modern cyclone prediction techniques, covering SVM, polynomial regression, satellite imagery, and emerging GAN-based approaches for improved forecasting.
View Paper →Research Paper
A Deep Learning Structure for Forecasting Cyclone Intensity.
Deep learning–based framework for cyclone intensity prediction using meteorological, oceanic, and satellite data to enable more accurate early forecasts.
View Paper →