About
Highly motivated and results-driven Software Engineer Intern and Data enthusiast with a B.Tech in Computer Science, specializing in real-time data pipelines, full-stack development, and machine learning. Proven ability to leverage Big Data, ETL, and AWS cloud technologies to build scalable solutions and deliver data-driven insights, as demonstrated through diverse project work and a successful internship.
Work
Remote, Not Provided, Not Provided
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Summary
As a SWE Intern, developed a financial analytics platform, integrating real-time data and machine learning to deliver predictive financial insights.
Highlights
Developed an interactive financial dashboard using Vite.js, significantly enhancing collaborative data visualization for stakeholders.
Engineered a NIFTY 100 search platform, enabling efficient retrieval of company data via API integration.
Constructed a LightGBM machine learning model for financial metric prediction, achieving a validated 74% accuracy on test data.
Skills
Tools & Frameworks
Docker, Git, Flask.
Big Data & ETL
Hadoop, Spark, Airflow, Databricks, Kafka, PySpark.
Cloud Platforms
AWS (S3, Lambda, Redshift, RDS, Glue, DMS, Eventbridge, DynamoDb, Athena), Confluent Cloud.
Databases
PostgreSQL, Cassandra, DynamoDB, Redshift, Valkey, SupaBase.
Programming Languages
Python, SQL, Node.js, Solidity, JavaScript (React.js, Vite.js).
Visualization & BI
QuickSight, PowerBI.