Headline

|| Ajeenkya DY. Patil University|| Data Analyst & Data Engineer | ETL Pipelines · SQL · Python · Power BI | Open to Analyst & BI Roles in Pune · Bengaluru · Hyderabad

About

I've always been bothered by data that just... sits there. Spreadsheets nobody reads. Reports that take a week to build. Dashboards that tell you what happened but not why. So I started building systems that fix that. I'm a Data Analyst and Data Engineer completing my MCA from Ajeenkya DY Patil University (July 2025), with hands-on experience designing end-to-end ETL pipelines, writing production-grade SQL, and building Power BI dashboards that non-technical stakeholders actually use. My core stack: Python (Pandas, NumPy, Matplotlib), SQL (MySQL, PostgreSQL), Power BI, and Git — with exposure to Apache Spark, AWS S3, and Google BigQuery. A few things I've built that I'm proud of: → A Warehouse Inventory Analytics Pipeline that automated ingestion across 5+ data tables, cut manual prep time by ~60%, and surfaced a 23% stock inefficiency hiding in plain sight. → A Sales EDA Engine that ran automated exploratory analysis across 10,000+ records, catching seasonal patterns and outlier clusters that directly shaped inventory decisions. → A Training & Placement Management System with normalized MySQL schemas for 4 user roles — Admin, HOD, Company, Student — automating what used to be a manual, error-prone process. What separates me from most freshers: I don't just run analyses — I engineer how data flows from source to insight. I care about data quality, schema design, pipeline reliability, and making dashboards that people actually open on Monday morning. Currently open to Data Analyst, Data Engineer, and BI Analyst roles in Pune, Bengaluru, or Hyderabad. 📩 Let's connect — yashgarad96k@gmail.com | +91 7776071737

Location

Pune Division

Work experience

Independent Data Engineering Projects | Self-Initiated | Jan 2024 – Present | Pune at finswell, Jan 2024 - Present · 2 yrs 6 mos, Pune District, Maharashtra, India, ▸ Engineered a full-stack ETL pipeline in Python and PostgreSQL processing 5+ relational inventory tables; cut manual data preparation time by ~60% and surfaced a 23% stock inefficiency through EDA-driven reporting ▸ Analysed 10,000+ sales transactions using Pandas and Matplotlib; identified 3 critical outlier clusters and seasonal revenue patterns, directly informing restocking decisions ▸ Built automated Power BI dashboards replacing manual spreadsheet reporting; reduced reporting turnaround from multi-day effort to near real-time, auto-refreshed views ▸ Designed normalized MySQL schemas for a Training & Placement Management System serving 4 user roles (Admin, HOD, Company, Student); automated placement tracking workflows end-to-end ▸ Developed a reusable Python data-cleaning library handling null imputation, type coercion, and feature engineering — applied across 3 independent project pipelines

Education

Master of Computer Applications - MCA, Computer and Information Sciences and Support Services, Savitribai Phule Pune University (SPPU)

Master of Computer Applications - MCA, Computer Science, Ajeenkya DY Patil University