About
Final-year Computer Science Engineering student specializing in analytics engineering, with hands-on experience building ETL/ELT pipelines using Python, PySpark, SQL, and Databricks on AWS. Built medallion-architecture data lakes, automated data workflows, and delivered KPI reporting for business stakeholders.
Experience
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Data Analyst InternNull ClassJun 2025 – Jul 2025
Cleaned and transformed raw datasets using Python and SQL, resolving inconsistencies and improving data quality for downstream analysis. Conducted exploratory data analysis to surface trends and presented findings through dashboards and structured reports.
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Power BI Analyst InternUnified MentorMar 2025 – Apr 2025
Designed and deployed interactive Power BI dashboards using Power Query and DAX, consolidating KPIs across business functions. Automated recurring reporting workflows, cutting manual report preparation time by approximately 40%.
Education
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2027
B.E. Computer Science & EngineeringComputer Science · 2023 – 2027
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2023
Higher SecondaryRaji Garden Matric Hr Sec SchoolScience · 2021 – 2023
Skills
Tools / apps / platforms
Projects
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Customer Churn PredictionPython, SQL, Power BI, Machine Learning
Built and evaluated machine learning models predicting customer churn with 90% accuracy; used SQL for data extraction and feature preparation. Developed Power BI dashboards showing retention trends and at-risk customer segments to support targeted retention strategies.
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E-Commerce Data Engineering PipelinePython, PySpark, Databricks, AWS, ETL, Power BI
Architected an end-to-end ETL pipeline on Databricks to process millions of e-commerce transaction records into analytics-ready datasets. Automated data ingestion and transformation stages, reducing manual processing effort and enabling near real-time business reporting in Power BI.
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Weather Data Pipeline & AnalyticsPython, PySpark, Databricks, AWS S3, Snowflake
Built a scalable medallion-architecture ETL pipeline in PySpark on Databricks, ingesting JSON weather data from APIs into an AWS S3 data lake. Transformed data through Bronze, Silver, and Gold layers and loaded curated datasets into Snowflake. Trained a Random Forest model on the curated data to predict weather conditions.
Courses & certifications
- Cloud Computing · NPTEL
🏆 Achievements & awards
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National-Level Conference Presentation
Presented research on a Computer Vision-based Automated Attendance System at a national-level conference.