Projects
Supply Chain Disruption Prediction
December 2025 - Present
I built this project to predict supply chain delays driven by real-world risks such as weather anomalies and geopolitical conflicts. I'm developing an end to end ML pipeline that pull the stored data from MongoDB Atlas and use ML algorithms like Random Forest and XGBoost to predict if a delay will happen (Yes/No). If a delay is likely, the model also estimates the number of days it will take. Currently working on the Model Training Phase.
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Sephora Merchandise Analysis
November 2025
​I built an end-to-end data pipeline using SQL and Python to analyze merchandising trends across thousands of products and customer segments. I processed this data from a SQL database to identify patterns in underperforming items and automate SKU analysis.
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VQA System for Healthcare
January - March 2025
Aimed to implement approaches to build a visual question answering system (VQA) for brain MRI scans and breast ultrasound images. Conducted a comparative analysis of multi-modal models (ResNet/Swin + LSTM/BERT)
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Security Log Anomaly Detection System
May 2025
Build a system that collects simulated security logs and detects anomalies in real time using statistical and ML techniques.​​
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Customer Churn Analysis
November 2024
Analysed Maven Analytics Customers Dataset identify patterns and trends in customer behaviour that lead to churn (customers leaving a service). Developed retention strategies to drive business growth.​​​
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Healthcare Analytics
November 2024
Analysed healthcare data related to diabetic patients to uncover trends, correlations, and patterns that can assist in improving patient's health. Used statistical and machine learning techniques to explore correlations in the data.
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COVID 19 Detection Through Chest XRAY Using ML
Sep 2023 - Dec 2023
Spearheaded the development of a COVID-19 detection system using chest X-ray images, employing the ResNet-18
architecture within the PyTorch framework. Trained and fine-tuned the ResNet-18 model for accurate classification of COVID-19 and achieved 95 % accuracy in model evaluation.
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Speaking Portraits
May 2023 - July 2023
This project involved creating animated videos of still images by capturing the motion of a source video and mapping it onto a target image. Applied the First Order Motion Model to simulate facial expressions and movements onto static images, producing lifelike animations.
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