Rohan Ubhare

Data Analyst | Business Intelligence Specialist

Mumbai 2+ yrs exp 85 · Excellent

About

Data Analyst with 2.7 years of experience in the fintech domain, specializing in UPI transaction analytics, merchant segmentation, lending analytics, and business intelligence reporting. Proficient in SQL, Python, Power BI, DAX, Snowflake, and AWS for building scalable dashboards, analyzing large datasets, and delivering actionable business insights. Experienced in end-to-end data analysis, ETL, KPI development, and AI-assisted analytics to support operational and strategic decision-making.

Skills & Expertise (29)

Power BI Advanced

8.3/10

2.7

Years Exp

DAX Advanced

7.8/10

2.7

Years Exp

Data Modelling Advanced

7.5/10

2.7

Years Exp

Power Query Advanced

7.5/10

2.7

Years Exp

NumPy Advanced

7.5/10

2.7

Years Exp

Python Advanced

7.5/10

2.7

Years Exp

Pandas Advanced

7.5/10

2.7

Years Exp

SQL Advanced

7.5/10

2.7

Years Exp

Excel Advanced

7.0/10

2.7

Years Exp

ChatGPT Advanced

7.0/10

2.7

Years Exp

Power Automate Intermediate

6.5/10

2.7

Years Exp

Snowflake Intermediate

6.5/10

2.7

Years Exp

Matplotlib Intermediate

6.5/10

2.7

Years Exp

Git Intermediate

6.0/10

2.7

Years Exp

Prompt Engineering Intermediate

6.0/10

2.7

Years Exp

Seaborn Intermediate

6.0/10

2.7

Years Exp

Microsoft Fabric Intermediate

6.0/10

2.7

Years Exp

AWS S3 Intermediate

6.0/10

2.7

Years Exp

AWS Glue Intermediate

6.0/10

2.7

Years Exp

SQL Server Intermediate

6.0/10

2.7

Years Exp

MySql Intermediate

6.0/10

2.7

Years Exp

Alteryx Intermediate

5.5/10

2.7

Years Exp

SSIS Intermediate

5.5/10

2.7

Years Exp

Jira Intermediate

5.5/10

2.7

Years Exp

Power Apps Intermediate

5.0/10

2.7

Years Exp

Gemini Intermediate

4.0/10

2.7

Years Exp

Claude Intermediate

4.0/10

2.7

Years Exp

Snowflake Data Warehouse Microsoft Copilot

Work Experience

Data Analyst

IppoPay Technologies Private Limited

Mar 2024 - Present

Designed and delivered end-to-end BI dashboards using Power BI and DAX, enabling leadership to track UPI transaction volumes, merchant performance, and key KPIs such as success rate, failure rate, and merchant adoption. Queried and analyzed large-scale UPI transaction datasets using SQL, Python, and Power BI performed data extraction, cleaning, transformation, validation, and data modeling using SQL, Power Query, DAX, and Python libraries (Pandas, NumPy) to generate actionable business insights and scalable reporting solutions. Performed EDA Using SQL (joins, CTEs, window functions, aggregations, and views) and Python (Pandas, NumPy, Matplotlib) for transaction analysis, merchant segmentation, anomaly detection, trend analysis, and ad-hoc business reporting. Improved reporting efficiency by leveraging Generative AI tools for automated KPI summaries, anomaly explanations, SQL/DAX assistance, and business insight generation for dashboard stakeholders.