Arsalan Sadar

Data Analyst

New Delhi, India 2+ yrs exp 85 · Excellent

About

Data Analyst with 2+ years of experience in Fintech and E-commerce. Expertise in SQL query optimization, ETL processes, and building business intelligence dashboards using Power BI and Excel. Proven track record of translating complex data into actionable insights. Improved query performance by 20% through index tuning and optimization. Built dashboards supporting KPI tracking and business decisions across cross-functional teams.

Skills & Expertise (24)

Python Intermediate

7.5/10

Years Exp

SQL Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

MySql Intermediate

6.5/10

Years Exp

Jupyter Notebook Intermediate

6.5/10

Years Exp

Advanced Excel Intermediate

6.5/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Pivot Tables Intermediate

6.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

ETL Intermediate

6.0/10

Years Exp

Query Optimization Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

5.5/10

Years Exp

Tableau Intermediate

5.5/10

Years Exp

Power Query Intermediate

5.5/10

Years Exp

KPI Analysis Intermediate

5.5/10

Years Exp

Statistical Analysis Intermediate

5.0/10

Years Exp

Data Modeling Intermediate

5.0/10

Years Exp

Forecasting Intermediate

5.0/10

Years Exp

Cohort Analysis Intermediate

5.0/10

Years Exp

Root Cause Analysis Intermediate

5.0/10

Years Exp

A/B testing Intermediate

5.0/10

Years Exp

EDA

Work Experience

Data Analyst

Estel Technologies

Apr 2022 - Sep 2024

Optimized SQL queries on Fintech transaction databases by analyzing execution plans and implementing strategic indexes; achieved 20% performance improvement on high-frequency payment processing queries. Developed data validation queries to identify anomalies in fund transfers and flagged compliance issues; created automated checks that reduced manual data review by 40%. Built performance dashboards using Python (Pandas, NumPy) and Excel to track system query performance across 500+ retail touchpoints; presented bottleneck analysis to engineering team for infrastructure scaling decisions. Conducted data quality audits across transactional systems; documented data inconsistencies and implemented validation rules that improved pipeline reliability during peak transaction periods.