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Data Analyst with 1+ years in Business Intelligence & Data Insights
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Results-driven Data Analyst with 1.5 years of professional experience delivering structured, analysis-ready datasets that powered NASSCOM industry reports and quarterly business intelligence deliverables. Proficient in Microsoft Excel (Pivot Tables, XLOOKUP, Power Query), Power BI dashboard development, SQL, and Python. Proven ability to clean, classify, and validate large-scale datasets across 5+ major research projects spanning GCC, private equity, M&A, and startup ecosystems. Currently pursuing an MBA (Finance & Marketing), combining analytical rigour with strategic business thinking to transform raw data into decisions.
JEI Mathaajee College of Engineering
MBA · Finance & Marketing
August 1, 2025 – Present
P T Lee CNCET
B.E. · Mechanical Engineering
August 1, 2020 – June 30, 2024
ZINNOV
Associate Research Executive
January 1, 2024 – July 1, 2025
India
Indian GCC Database & M&A; Tracking
June 27, 2026 – Present
Classified and structured GCC company data across 10+ industries, enabling business segmentation and ownership analysis for consulting reports. Tracked M&A activity and mapped workforce distribution by department, producing organisational intelligence that directly informed client strategy deliverables.
NASSCOM Report - Backend Data Support
June 27, 2026 – Present
Prepared and cleaned backend datasets for NASSCOM industry reports covering the Indian technology and GCC sector. Validated data accuracy and formatting consistency to meet publication-ready quality standards for one of India's leading tech industry reports.
Retail Sales Dashboard
June 27, 2026 – Present
Built an interactive Power BI dashboard analysing sales, profit, and regional revenue across 10,000+ records. Implemented KPI cards, slicers, and drill-down filters; cleaned and transformed source data via Power Query, improving reporting consistency.
Zomato SQL Analytics
June 27, 2026 – Present
Analysed 100,000+ restaurant records and customer ratings to identify delivery trends and operational performance metrics. Wrote complex queries using JOINS, CTES, GROUP BY, CASE WHEN, and window functions; visualised results in Power BI for business decision support.
AI Data Analyst Copilot
June 27, 2026 – Present
Built an AI-powered Streamlit application that automates dataset cleaning, profiling, and KPI insight generation workflows. Reduced manual data wrangling effort by automating repetitive tasks using AI-assisted SQL debugging and Python processing pipelines.
View ProjectPrivate Equity Database — US & UK
June 27, 2026 – Present
Structured and analysed PE firm data covering investment types, revenue details, and portfolio classifications across two major markets. Delivered a clean, analysis-ready database supporting business performance benchmarking and sector comparison for client advisory outputs.
Superstore Sales Dashboard
June 27, 2026 – Present
Designed an Excel dashboard using Pivot Tables, dynamic charts, and conditional formatting to deliver detailed sales and profitability analysis. Standardised transactional datasets and applied aggregation and KPI tracking to surface actionable trend insights.
Startup Database - India
June 27, 2026 – Present
Identified and classified 500+ technology startups across software and SaaS sectors, validating operational status and funding stage data. Structured company-level records into a consistent format, underpinning startup ecosystem intelligence reporting for industry stakeholders.
GCC State Analysis & Quarterly GCC Insights (2024)
January 1, 2024 – December 31, 2024
Conducted region-specific analysis for key Indian states, identifying company distribution patterns and location-based trends across all 2024 quarters. Delivered structured quarterly datasets supporting KPI tracking and business insight generation for quarterly BI reporting cycles.
Cultural Fit Analysis
The candidate's project diversity, ranging from professional database management for industry reports to personal projects involving retail sales and Zomato analytics, indicates a broad interest in data applications. The experience with NASSCOM reports and GCC analysis suggests an understanding of industry-specific data needs. The combination of technical skills with an MBA in Finance & Marketing aligns well with a role requiring both analytical rigor and business acumen, suggesting a good cultural fit for a data analyst role that bridges technical and business insights.
Soft Skills & Operational Fit
The candidate's professional experience highlights strong attention to detail in data validation and quality control, crucial for operational fit in a data-driven role. The ability to structure raw data into well-formatted datasets for consulting teams indicates good organizational skills and client-centric thinking. The pursuit of an MBA suggests a strategic mindset, which could be beneficial for understanding business context in data analysis.