Open to opportunities · Bengaluru
Data Analyst
who turns noise
into clarity
3+ years building SQL pipelines, Power BI dashboards, and data models that drive real business decisions. Recently leveled up with a PG Diploma in Data Science & AI from IIIT Bangalore.
3+
Years of experience
5+
Power BI dashboards
40%
Reporting effort saved
3x
Performance gap found
Latest education
PG Diploma - Data Science & AI
Core skills at a glance
Career
Where I've made an impact
From designing data models in agritech to large-scale dataset analysis during my postgrad program.
Jun 2022 - Oct 2025
Data & Operations Analyst
Arjate Farm Solutions
- Designed relational data model - transformed raw field data into 4 normalized SQL tables for scalable reporting.
- Identified 35-40% district-level demand concentration using window functions and aggregations, improving resource allocation.
- Built 5+ Power BI dashboards with DAX and cross-table relationships, cutting manual reporting effort by 40%.
- Developed productivity scorecard revealing a 3x performance gap across field officers.
- Guided expansion into 3 new districts through geographic and trend analysis.
- Identified 22% Q2 revenue concentration in seasonal data, informing inventory planning.
Oct 2021
Agri-Data Intern
Namdhari Seeds Pvt. Ltd.
- Analyzed 8+ horticulture varieties across 50+ plots - tracked germination, growth, and yield metrics.
- Built yield vs. cost model identifying 2 high-performing varieties, improving yield efficiency by 15-20%.
Projects
Work from my GitHub
End-to-end projects organized by tool - SQL, Python, Power BI, and Excel. Each links directly to the corresponding folder on GitHub.
SQL Projects
Advanced querying & data modeling
SQL Business Insights
Customer cohort analysis and product revenue attribution using CTEs, window functions, and complex joins on SQLite.
Top 3 products -> 60% of revenueDistrict-Level Demand Analysis
Wrote complex queries to analyze demand patterns across districts using aggregations and window functions for Arjate Farm Solutions.
35-40% demand concentration foundPython Projects
EDA, PySpark & data pipelines
Traffic Collision Analysis
Distributed data pipeline in PySpark processing 100K+ records to identify accident severity patterns and contributing factors.
Poor lighting -> 2x higher severityNYC Taxi Demand Analysis
Demand segmentation and time-series analysis on millions of records using Pandas to uncover peak demand windows and top zones.
Top zones -> 38% of all tripsPower BI Dashboards
DAX, KPIs & visual storytelling
Field Officer Productivity Scorecard
KPI dashboard tracking field officer performance using DAX measures and cross-table relationships across operational data.
3x performance gap uncoveredSales & Seasonal Revenue Dashboard
5+ dashboard suite analyzing district-level demand, seasonal revenue patterns, and expansion potential for agritech operations.
40% less manual reporting effortExcel Projects
Modeling, pivot tables & analysis
Yield vs. Cost Model
Built an agricultural yield efficiency model during internship at Namdhari Seeds - comparing 8+ horticulture varieties across 50+ plots.
15-20% yield efficiency improvementAgritech Reporting Workbooks
Automated reporting workbooks to support field data consolidation and KPI monitoring before the Power BI migration at Arjate Farm Solutions.
Basis for 40% effort reductionSkills
My toolkit
Programming
PythonSQLPandasNumPyMatplotlib
Visualization
Power BIDAXTableauExcel
Analytics
EDAData ModelingKPI ReportingForecasting
Tools & Tech
PySparkSQLiteJupyterGitGitHub
Let's work together
Open to data analyst roles in Bengaluru and beyond.