Skip to main content

Turning Data into
Clear Business Decisions

Data Analyst | SQL • Power BI • Python • Business Intelligence

2+ years of experience improving efficiency, automating reporting, and delivering insight-driven dashboards.

Minimal dashboard interface

About

I transform complex data into actionable business insights. Every dashboard I build tells a story that drives decisions.

From automating manual reporting to creating KPIs that track real business impact, I use SQL, Power BI, and Python to solve problems that matter.

My approach is simple: understand the business pain point, build automated solutions, and deliver insights that move the needle forward.

Modern tech office Digital working Workspace setup

Skills

Business Intelligence

  • Power BI
  • Tableau
  • Google Looker Studio

Data & Programming

  • SQL (MySQL)
  • Python
  • Google Apps Script

Analytics Techniques

  • KPI Reporting
  • EDA
  • Hypothesis Testing
  • Statistical Analysis

Visualization

  • Matplotlib
  • Seaborn

Tools

  • Excel
  • Git & GitHub
  • API Integration

Experience

Senior Executive – Data Analyst

Jan 2025 – Present

Solarium Green Energy Limited

  • • Owned end-to-end analytics for pre-sales and post-sales operations
  • • Built SQL-driven reporting across ERP, lead management, and finance systems
  • • Increased operational visibility by 50%+
  • • Reduced execution delays by 30–35%
  • • Automated reporting pipelines using Python & Google Apps Script, cutting manual work by 40%+

Data Analyst Intern

2024

Unified Internship

  • • Designed Power BI dashboards improving KPI visibility by 20%
  • • Delivered insights through clear visual storytelling

Data Analytics Intern

2024

MedTourEasy

  • • Cleaned and transformed data for executive dashboards
  • • Optimized SQL queries, improving dashboard performance by 50%

Software Engineer

2023

Script All DNA Technologies

  • • Resolved 98% of production issues within SLA
  • • Built REST APIs improving backend communication by 40%

Projects

AtliQ Hospitality Analysis Dashboard

Analyzed Revenue, ADR, RevPAR, and Occupancy metrics to identify revenue leakage and optimize pricing strategies.

Power BI SQL DAX Excel

Key Insight: Identified 10% revenue leakage across properties

Impact: Improved average occupancy by 12%

Supply Chain Analysis Dashboard

Tracked OT%, IF%, and OTIF% across regions to enhance shipment visibility and enable data-driven logistics planning.

Power BI Python SQL Excel

Key Insight: Improved shipment visibility by 30%

Impact: Enabled data-driven logistics planning for regional teams

Certifications

Google Data Analytics Professional Certificate

Google

Comprehensive training in data analysis, visualization, and business intelligence tools.

Data Analysis with Python

IBM

Advanced Python programming for data analysis, statistical modeling, and machine learning applications.

Contact

Let's connect and build data-driven solutions together.

Work setup