Data Scientist, Analyst, Executive & Visualization Specialist
As a versatile professional in AI and data, my work focuses on building robust solutions for real-world problems. I leverage a wide range of machine learning and deep learning algorithms, alongside natural language processing and computer vision techniques, to develop innovative applications. My portfolio showcases a history of transforming data into valuable insights, using Python and various frameworks to create impactful, data-driven outcomes across different domains.
Applied ML/DL models for health, behavior, and prediction tasks using CNN, LSTM, Random Forest, NLP, and classification techniques.
Created analytical dashboards and predictive models using regression, classification, and visualization tools like Power BI, Tableau, and Python libraries.
Built automation and computer vision apps with Python, Flask, OpenCV, and GUI tools for real-time interaction and data-driven solutions.
Proficient in designing and managing relational databases, writing complex queries, and optimizing performance.
A conversational AI chatbot built with NLTK for natural language understanding (NLU) to help users with room booking inquiries. The project features sentiment analysis and intent recognition for a smarter user experience.
Visit ProjectA deep learning-based Flask app for detecting brain tumors in MRI scans using PyTorch. Medical professionals can upload scans to receive predictions.
Visit ProjectPredict and classify arrhythmias using machine learning algorithms and ECG data. Dataset from the UCI Repository.
Visit ProjectA deep learning-based solution for colorizing black-and-white images using OpenCV and deep neural networks.
Visit ProjectA web application for predicting the likelihood of diabetes based on health parameters. Built using Flask and scikit-learn.
Visit ProjectA computer vision project using CNNs to detect and classify a driver's behavior to identify distractions, aiming to improve road safety.
Visit ProjectA machine learning model built with scikit-learn to predict employee turnover based on various factors, helping companies in strategic planning.
Visit ProjectAn OpenCV project using pre-trained models to detect gender and age from facial images.
Visit ProjectPredict the likelihood of heart disease based on medical attributes. Built using scikit-learn models, with 92% accuracy.
Visit ProjectClassify human activities using 2D pose estimation and LSTM. Explore the application of limited dataset inputs for behavior prediction.
Visit ProjectAn OpenCV project that detects humans in images/videos and counts the number of people present.
Visit ProjectA machine learning model to predict the total score of an IPL match based on the current score, overs, and other in-game statistics.
Visit ProjectA classification model to predict whether a loan will be approved based on applicant data and financial history.
Visit ProjectA content-based recommendation system built using Python to suggest movies to users based on their preferences.
Visit ProjectEWL Department, IMSUCC Ghaziabad | May 2023 - July 2025 (Hybrid)
CodSoft | Sep 2024 - Oct 2024 (Remote)
Institute of Management Studies UCC, Ghaziabad | 2022 - 2025 (Expected)
DHT Saraswati Vidya Mandir, Ghaziabad (CBSE) | 2021 - 2022
Dolphin Public School, G.B. Nagar (CBSE) | 2019 - 2020
CodSoft | Sep 2024 - Oct 2024
DUCAT, Noida | March 2024 - May 2025
I'm currently seeking new opportunities and open to new projects. If you'd like to collaborate or have an inquiry, feel free to drop me a message using the form below or connect with me on social media. I typically respond within 24–48 hours.