Product detection for supermarket inventory management with YoloV5
Applied computer vision techniques to detect products in images of supermarket shelves.
| Personal Portfolio |
Results-driven Data Engineer with +3 years of hands-on experience in the Data industry. Adept at translating complex business requirements into scalable and efficient
data solutions. I possess a unique combination of academic knowledge and practical expertise in the Data Engineering and Science field, where I am currently working in
multiple projects for a US-based client. Pursuing a Master's Degree in Data Science from MIT (2023-2024).
Stack: Python, SQL, Snowflake, AWS (Amazon RDS, Glue Lambda, Athena, S3), PySpark, Boto3, Pandas, Docker, etc.
Projects
Natural Language Processing for Sentiment Analysis
Trained a neural network for the classification of 50K real-life movie reviews based on users sentiments.
Neural Network for Vehicle Classification
Trained and fine-tuned CNN (Resnet50 architecture) on AWS for the classification of 16000 different car images with an overall accuracy of 75% for 196 different vehicle classes..
E-Recipe-popularity-prediction
Correctly prediction of popular e-recipes for the Tasty Byte homepage.
Credit Risk Analysis with binary classification models
Developed feature engineering, data preprocessing, built a machine learning pipeline and trained high-performance binary classifiers
NBA Public API Data Analysis
Performed Data Extraction from a Public NBA API, followed by Exploratory Data Analysis, Dataset Cleaning & Merging, Statistics and Visualization.
Contact info
Please feel free to contact me on any Social Media site, Whatsapp or Gmail.