Building intelligent systems at the intersection of Machine Learning, Generative AI, and Data Analyst.
I specialize in machine learning, data analytics, and Generative AI with expertise in Python, Java, and SQL. Proficient in TensorFlow, Keras, and working with LLMs, RAG systems, and LangChain to build intelligent applications.
With training and internship experience in data science and AI, I've developed skills in Power BI, Tableau, and building end-to-end ML pipelines that solve real-world problems.
During my studies, I developed a strong foundation in Machine Learning, Data Analysis, and Database Management. I worked on real-world projects, gaining hands-on experience. I also strengthened my soft skills including communication, teamwork, problem-solving, and time management.
An intelligent conversational AI chatbot powered by LLMs and LangChain, capable of answering queries with contextual understanding and multi-turn dialogue.
RAG system extracting and querying text from PDFs, images, and URLs with OCR, web scraping, and LLM-powered contextual answers.
Gradient Boosting model predicting vehicle CO2 emissions with 92% accuracy, featuring an interactive Streamlit app for real-time prediction.
Deep fake image detection deployed in Streamlit, offering an interactive tool to identify and analyze manipulated images using deep learning.
Deep learning system detecting synthetic audio by identifying unique speech patterns and anomalies using spectrogram analysis.
Interactive Tableau dashboard analyzing electric vehicle adoption trends, range statistics, and manufacturer comparisons across regions with dynamic filters.
Comprehensive Power BI sales dashboard with KPIs, regional breakdowns, product performance metrics, and trend forecasting for business decision-making.
Interactive Power BI dashboard visualizing sales, profit, and customer trends for a global retail dataset, enabling data-driven decision-making at a glance.
Detailed data analysis of ICC Men's T20 World Cup statistics. Venue trends, toss impact, team performance, and player insights with rich visualizations.
Python analytics pipeline processing Formula 1 datasets with EDA, visualizing driver and constructor performance trends across 24 circuits.
Worked with Python, SQL, Excel, Power BI, and Tableau for data analysis and visualization. Applied basic Machine Learning and Data Science techniques for data preprocessing, analysis, and building simple predictive models. Created interactive Power BI dashboards using Power Query and DAX, and developed KPI reports for better data insights.
Customized and optimized responsive web applications ensuring cross-device usability. Collaborated with a 3-member team to deploy 3 projects using Kendo platform libraries. Adapted ML and Deep Learning code from multiple repositories and optimized frontend configurations for 5 applications.
Have a project, collaboration, or opportunity? I'd love to hear from you.