About Me
I am a B.Tech student in Information Technology from Kolkata, with a strong foundation in Python, Java, C++, and JavaScript. My expertise extends to web development with React and Node.js, and I have hands-on experience with AWS services, particularly in building automated ETL pipelines using AWS Glue. I have also developed machine learning models for candlestick analysis and fraud detection. As a proactive learner and collaborative team player, I am passionate about leveraging technology to create impactful and innovative solutions and am eager to apply my skills in a challenging software development role.
My Skillset
Work Experience
Elewayte (A company of Realtalk Software Services Pvt. Ltd.) Feb 2025 - Mar 2025 (2 Months)
- Designed ETL pipelines for structured & semi-structured datasets.
- Worked on AWS Glue, a serverless ETL tool used in Data Analytics and ML pipelines.
- Built and managed Data Catalogs, Databases, and Tables.
- Used Crawlers & Classifiers for metadata management.
- Developed ETL jobs using Apache Spark (Python).
- Configured Triggers for workflow automation.
- Tested ETL scripts in Development Endpoints.
Featured Projects
Designed and implemented a fully automated ETL pipeline on AWS for processing large datasets. Leveraged AWS Glue for data extraction, transformation, and loading, S3 for data storage, and Athena for querying.
Developed a machine learning model to analyze and predict stock market trends based on candlestick patterns. Utilized deep learning techniques to identify patterns and provide insights for trading decisions.
Built a machine learning system to detect fraudulent online transactions in real-time. The model was trained on a large dataset of transactions to identify anomalies and flag suspicious activities.
Education
MCKV institute of engineering
Pursuing a Bachelor of Technology with a focus on Information Technology.