🔭 I’m currently working on Cloud Data Engineering
🌱 I’m currently learning to build large-scale data pipelines
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⚡ Fun fact: Did you know? The term 'Big Data' originated from NASA in the early 1990s to describe the massive amounts of data collected from satellites and telescopes. Today, Big Data has become a cornerstone of data science and data engineering, driving innovations in technology and decision-making across industries.

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1. bank-json-apis-golangbank-json-apis-golangPublic

   A complete GO MUX API project in which A Bank APIs are built

   Go 1

2. Big-Data-Processing_Parallelize-K-meansBig-Data-Processing_Parallelize-K-meansPublic

   Implemented the parallelized version of k-means clustering algorithm in Spark and assess its efficiency using a real-world dataset.

   Jupyter Notebook 1

3. ipc-section-classification-using-llmipc-section-classification-using-llmPublic

   Welcome to IPC Section Classification! This platform uses an advanced Language Model to swiftly analyze FIRs, providing accurate IPC section identification. Simplify legal processes in just a few c…

   Python 2

4. parallel-web-scraper-on-cloudparallel-web-scraper-on-cloudPublic

   This project demonstrates an event-driven architecture for parallel web scraping and processing tasks using AWS services. The scraper job, running on AWS Batch, collects data from multiple web pag…

   Python 2

5. appsync-dynamodb-cdk-chat-app-backendappsync-dynamodb-cdk-chat-app-backendPublic

   TypeScript

6. social-media-performance-analyticssocial-media-performance-analyticsPublic

   This project leverages the power of Langflow, DataStax Astra DB, and GPT to analyze and generate insights from mock social media engagement data. By simulating various post types like carousels, re…

   Python