ML & Data Science Engineer
Building intelligent solutions with data and machine learning.
Computer Engineering student · Ex-Intern at Infosys Springboard
I'm a Computer Engineering student passionate about building AI-driven solutions using real-world data. With hands-on experience in Python, Machine Learning, and Data Science, I focus on turning complex datasets into meaningful insights.
During my internship at Infosys Springboard, I worked on data preprocessing, time-series analysis, clustering models, and interactive dashboards using Streamlit — leveling up my skills in ML workflows and real-data engineering.
A machine-learning health analytics system featuring clustering models for fitness pattern recognition, forecasting models for activity prediction, and a Streamlit dashboard for anomaly detection and insight generation.
Full-stack AQI dashboard for Indian cities — visualizes real-time pollutant data, weather insights & interactive maps with CPCB-based health guidance. Features an AI chatbot for air-quality queries, API caching, and responsive UI animations.
An intent-classification chatbot named "Namaste Air" trained using SVM with TF-IDF. Handles air quality queries, provides real-time AQI data, and integrates seamlessly into the AQI dashboard.
View full project details on GitHub or switch to desktop view.
In-depth course on Machine Learning algorithms, Data Science techniques, and practical implementations.
National Programme on Technology Enhanced Learning certification from IIT, demonstrating academic excellence in technology.
Comprehensive certification covering AI methodologies, tools, and best practices from IBM.
Successfully completed the Python Foundation course with hands-on experience in Python, Data Science, and ML workflows.
Have an opportunity, a project idea, or just want to say hi? I'd love to hear from you.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.