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Aabhas Agrawal

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.

Education

Bachelor of Technology - B.Tech - Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh (2025)

Higher Secondary - Class XII - DAV Public School, Hudco, Bhilai, Chhattisgarh (2021)

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