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Arhab Ahmad

DATA ANALYST - STATISTICS · SQL · PYTHON · POWER BI

Talent
New DelhiMember since September 16, 2026
Hypothesis TestingSQLPythonPandasExcelPower BIDAXDocumentation
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Hypothesis TestingSQLPythonPandasExcel

About

M.Sc. Statistics professional with 2+ years of experience spanning industry data operations and academic research, including a data science internship and a statistics-heavy MSc dissertation. Skilled at turning ambiguous, real-world questions into structured analysis using SQL, Python, and statistical methods (hypothesis testing, regression, forecasting).

Comfortable owning the full analysis lifecycle - from data validation and exploratory analysis through modelling, interpretation, and reporting using Power BI dashboards.

Experience

Data & Operations Executive - RD Air Conditioning Works - Ghaziabad

(2022-08 - 2024-07)

  • Maintained and validated operational, labour, payment, and project data in Excel, ensuring accuracy, consistency, and completeness for downstream reporting.
  • Prepared daily, weekly, and monthly business reports used by management for performance monitoring and decision-making.
  • Built and maintained structured tracking sheets for ongoing projects, supporting operational monitoring and documentation.
  • Prepared quotations, invoices, and billing records with a strong focus on accuracy and consistency.

Data Science Intern - Learn & Build

(2022-05 - 2022-07)

Sales Analysis Project

  • Analysed 180,000+ US retail transactions using Python and Pandas across 12 months and 9 cities to identify revenue trends, geographic performance, and seasonal patterns.
  • Identified December as the peak revenue month (~$4.6M) and San Francisco/Los Angeles as leading markets — insights relevant to inventory and marketing decisions.
  • Created Matplotlib visualisations to communicate findings to non-technical stakeholders.

Education

M.Sc. - Statistics - Aligarh Muslim University (2024 - 2026)

B.Sc. - Statistics - Aligarh Muslim University (2019 - 2022)

Skills

DATA ANALYST - STATISTICSSQLPYTHONPOWER BI

Reviews

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