Portfolio
Data & Business Analyst with hands-on experience turning large, messy datasets (500K+ records) into decision-ready dashboards and reports using SQL, Python, and Power BI/Tableau. Building AI-powered applications, deep learning systems, and production-ready automation tools using modern technologies.
I am a B.Tech graduate from Bennett University, specializing in Artificial Intelligence and Machine Learning. I enjoy solving real-world problems using AI, analytics, and automation technologies.
I develop machine learning systems, dashboards, NLP chatbots, computer vision applications, browser extensions, and scalable AI-powered platforms.
My goal is to become a high-impact AI Engineer and Data Professional capable of building intelligent systems that improve healthcare, business intelligence, and user productivity.
CGPA: 8.48/10 · Graduated May 2026
View Provisional Certificate →Completed intensive training in data analytics methodologies, visualization, business intelligence, and reporting workflows.
View Certificate →Analyzed business datasets in PostgreSQL using SQL to extract trends, writing joins, aggregations, and window functions across multi-table schemas. Built interactive Power BI and Tableau dashboards with KPI cards, drill-downs, and DAX measures. Cleaned and structured raw data in Excel and Python (Pandas), handling missing values, duplicates, and inconsistent formats. Compiled findings into business reports and presentations summarizing key metrics and recommendations.
View Certificate →Processed 4.5k+ MRI scans with data cleaning and transformation for model training. Developed a pipeline achieving 95% accuracy, with segmentation outputs for improved interpretability.
View Project →Two GAN-based models on a unified interface: one for converting hand-drawn sketches into realistic color images, another for applying artistic styles. Real-time Streamlit app handling 1k+ uploads with <2s latency.
View Project →Semantic-search AI chatbot using LangChain and Gemini APIs with high retrieval accuracy.
View Project →Built models to transform and analyze image datasets, supporting real-time processing of 1,000+ inputs. Used CVAT for annotation and Docker for environment setup. Optimized pipelines to achieve <2s latency.
View Project →Scraped datasets from NITI Aayog and Indian Meteorological Department, performing SQL-based cleaning and consolidation. Designed interactive Power BI dashboards to visualize climate and policy insights for decision-making.
View Project →Collected and analyzed mental health survey data across diverse demographics. Built an interactive dashboard with real-time visualizations for 1000+ survey records, enabling trend exploration and actionable insights.
View Project →Designed a 3NF PostgreSQL database and analyzed 517K+ flight records across 341 airports to surface delay patterns and operational risk factors. Built interactive Power BI dashboards with KPIs, route maps, and carrier-level analytics, enabling drill-down from network-wide trends to individual routes.
View Project →Institutional-grade sell-side equity research package on Infosys (NSE: INFY) with a 14-sheet integrated financial model, DCF/WACC valuation, Monte Carlo simulation, peer benchmarking, and a 14-page initiation report prepared for J.P. Morgan Global Research.
View Project →Enterprise-grade standalone Windows desktop ERP for chemical/pharma manufacturers. Features BOM formula engineering, multi-batch traceability, multi-unit inventory, cryptographic audit ledgers, Rule 46 GST invoicing, and zero cloud dependencies.
View Project →Premium open-source desktop AI chat app connecting to 600+ models via OpenRouter. Supports text, image vision, audio transcription, video analysis, TTS, and embeddings — all running natively on Windows with zero telemetry and local-only API key storage.
View Project →
Interactive EV registration and transition analytics dashboard mapping RTO-level registrations, market penetration curves, and fuel-type dependency analysis across India.
Published "Integrating Deep Learning Concepts with Blood Diagnosis" — a novel framework transforming structured blood test data into image-like tensors for CNN-based hematological classification.
Read Paper →Production-ready Microsoft Edge AI extension providing real-time chat, image analysis, and PDF export for seamless workflow integration.
Try Extension →Earned Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate certification.
Successfully built AI systems handling thousands of real-time user interactions and uploads.
Certified in AI/ML fundamentals on Oracle Cloud Infrastructure, covering deep learning, machine learning, NLP, computer vision, and responsible AI concepts.
Comprehensive deep learning course covering neural network architectures, CNNs, RNNs, GANs, reinforcement learning, and modern AI techniques.
IBM-certified training in data analysis techniques for machine learning workflows, including data preprocessing, feature engineering, and model evaluation.
Hyperparameter tuning, regularization, and optimization techniques for building high-performance deep neural networks.
Natural language processing fundamentals including sentiment analysis, text classification, vector space models, and machine translation.
Intensive training in data analytics methodologies, business intelligence tools, data visualization with Power BI & Tableau, and professional reporting workflows.
12 hidden telemetry signals are scattered across the portfolio. Uncover all 12 to unlock the "Behind the Build" engineering log.