Aabhas Agrawal

Data Analyst (B.Tech 2025) with 1.5+ years of hands-on experience in analytics solutions

Talent

BhilaiMember since July 1, 2026

Power BIDAXData ModellingDashboardsAdvanced ExcelPivot TablesPower QueryVLOOKUPSQLJoinsWindow FunctionsSubqueriesData CleaningFeature EngineeringPreprocessingPythonPandasNumPyMatplotlibSeabornTableauAlteryxMySQLPySparkExploratory Data AnalysisKPI DesignNLPResume Intelligence AutomationMachine LearningScikit-learn

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Power BIDAXData ModellingDashboardsAdvanced Excel

About

Results-driven Data Analyst (B.Tech 2025) with 1.5+ years of hands-on experience delivering end-to-end analytics solutions across sports performance and enterprise business operations. Proven ability to architect Power BI dashboards, design SQL data pipelines, and apply Machine Learning (Scikit-learn, TensorFlow) to drive measurable outcomes — including detection of a 14% regional sales decline that directly shaped a marketing recovery strategy. Adept at translating messy, multi-source datasets into executive-ready KPIs, automated reporting workflows, and actionable business insights.

Targeting a high-impact Data Analyst role (5–10 LPA) in a data-driven, growth-focused organisation.

Experience

Data Analyst - NV Pro Badminton Academy

(2024-01)

Tools: SQL, Excel, Power BI

Architected and maintained 3 interactive Power BI dashboards tracking player progress, attendance, and 10+ performance KPIs — adopted by the full coaching staff within 2 weeks of launch.
Designed and automated SQL pipelines to clean and transform raw training datasets, achieving 95%+ data accuracy and enabling reliable, real-time decision-making for coaches.
Automated weekly performance reporting workflows in Excel, reducing manual effort by 30–40% and freeing ~4 hours of coaching staff time per week.
Conducted data-driven analysis on player fitness trends and match outcomes, directly informing personalised training plans that improved player win rates by 12%.
Led end-to-end data collection and standardisation process for 5+ player cohorts, establishing a single source of truth for performance metrics.

Data Analyst Intern - CODSOFT - Remote

(2025-04 - 2025-06)

Tools: Python, SQL, Excel, Power BI

Processed, cleaned, and standardised a dataset of 100,000+ rows spanning multiple regions using Python and SQL, enabling business teams to reliably track KPIs across geography and time.
Designed smart Excel templates with advanced lookup functions and pivot logic, cutting reporting time by 40% across 4 departments and saving an estimated 6+ hours per week.
Developed and maintained multi-page Power BI dashboards visualising revenue trends, customer mix, and monthly performance — used by managers across 3+ business units.
Collaborated with 4 analysts and 2 senior managers to define and validate 6 business-critical KPIs, improving report reliability and ensuring strategic alignment across quarterly reviews.
Identified a 14% post-festival sales drop in the South region through SQL-driven cohort analysis; insight was directly incorporated into the Q4 marketing recovery strategy.