Shravani Shedge

Data Analyst

Mumbai, Maharashtra 1+ yrs exp 88 · Excellent

About

Data Analyst with 1+ year of hands-on experience turning large operational datasets into actionable business insights using SQL Server, Power BI, DAX, and Python. Delivered KPI reporting and interactive dashboards used for approval-trend monitoring, SLA tracking, and revenue analysis across 10,000+ records. Strong foundation in data validation, ETL, and data modeling including star and snowflake schemas, with proven ability to translate raw data into decisions for stakeholders.

Skills & Expertise (30)

Power BI Intermediate

8.0/10

Years Exp

SQL Server Intermediate

8.0/10

Years Exp

T-SQL Intermediate

8.0/10

Years Exp

DAX Intermediate

7.5/10

Years Exp

Power Query Intermediate

7.5/10

Years Exp

Data Visualization Intermediate

7.5/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Python Intermediate

7.0/10

Years Exp

Git Intermediate

6.5/10

Years Exp

Statistics Intermediate

6.0/10

Years Exp

NumPy Pandas scikit-learn Data Warehousing Snowflake Schema Star Schema Azure DevOps Data Modeling Data Validation ETL Design Query Optimization Stored Procedures Window Functions CTEs Joins Complex queries SSMS EDA Dashboarding

Work Experience

Junior Software Engineer

Phoenix InfoTech Pvt. Ltd.

Jun 2025 - Present

Analyzed 10,000+ operational and verification records using advanced SQL to identify approval trends, bottlenecks, and performance patterns, informing weekly business decisions. Designed and delivered Power BI dashboards with 20+ DAX-driven KPI measures, providing stakeholders with self-service visibility into request volumes, approval rates, and operational SLAs. Wrote complex SQL queries using joins, CTEs, window functions, and subqueries across 40+ tables and 50+ stored procedures to build reliable, reusable reporting datasets. Built and maintained SQL-based ETL pipelines for data extraction, validation, and transformation, improving data reliability for downstream reporting. Applied data modeling best practices including relationships, ER diagrams, star schema, and snowflake schema to structure data for accurate BI reporting. Automated a Python-based facial verification pipeline for the MS-CIT examination system, achieving 95%+ matching accuracy and reducing manual verification workload. Automated data collection using Python web scraping and integrated structured data into SQL Server to expand datasets available for analysis.