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Senior Data Analysis with 2+ years in Power BI, SQL, Python, and Excel
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data professional aspirant skilled in Advanced Excel, Power-BI, Tableau, SQL, and Python, with-in data reporting automation, EDA and data visualization using Power BI. Building on a strong professional background where I utilized Advanced Excel as my primary data tool to aggregate multiple sources, build workflows, and analyze operational metrics. Adept at transforming spreadsheet workflows into automated models and delivering actionable insights to stakeholders for improved business decision making and strategy.
Gyan Ganga Polytechnic
Diploma · Civil Engg.
January 1, 2014 – January 1, 2017
High-Five Business Solution.
Assitant Manager
January 1, 2023 – September 1, 2025
Noida, Uttar Pradesh, India
UNIRAC INC.
Sr. Permit Designer
June 1, 2021 – December 1, 2022
Gurgaon, Haryana, India
DIN ENGINEERING
Permit Design Engineer
June 1, 2019 – May 1, 2021
Noida, Uttar Pradesh, India
EDA on E-commerce Dataset
June 1, 2026 – Present
Cleaned and analyzed 25K+ transaction records using Pandas and NumPy to uncover customer behavior and sales drivers. Visualized trends using Matplotlib – including category-wise revenue, order frequency, and weekday vs. weekend sales. Discovered that 65% of sales occurred during weekends, helping reshape marketing focus and improve targeting.
Customer Segmentation & Retention Analysis
June 1, 2026 – Present
Queried a database of 100K+ customer transactions using joins, subqueries, and window functions. Segmented customers based on RFM (Recency, Frequency, Monetary) scoring; identified top 20% churn risk customers. Findings informed email retention campaigns that led to a 12% boost in returning customers within 3 months.
Retail Insights Dashboard
June 1, 2026 – Present
Designed a Power BI dashboard analyzing 50 stores and 300+ SKUs, enabling leadership to view KPIs by category and region. Used DAX for profit margin analysis, stock turnover, and YoY trends, highlighting a 15% drop in specific product lines. Enabled stakeholders to identify slow-moving items and reduce excess stock by 22% within two quarters.
Sales Dashboard & Forecasting
June 1, 2026 – Present
Built a dynamic Excel dashboard to analyze 15K+ monthly sales records across 4 regions and 12 products. Used pivot tables, VLOOKUP, conditional formatting, and charts to visualize revenue, units sold, and growth trends. Applied linear regression to forecast next-quarter sales with 93% accuracy, helping reduce inventory gaps by 18%.
Data Analytics
Coding Ninjas
January 1, 2026 – Present
Data Analytics & AI
Microsoft Learn
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering e-commerce, customer segmentation, retail insights, and sales forecasting, indicates a broad interest in applying data analysis across various business domains. While the professional experience is not directly in data analysis roles, the candidate has consistently applied data analysis techniques to improve operational KPIs and support decision-making, showing initiative and a problem-solving orientation. The certifications in Data Analytics and Data Analytics & AI further demonstrate a commitment to the field and alignment with a data-driven culture. The transition from engineering roles to data analysis suggests adaptability and a strong drive for career growth in the target role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail through their project descriptions. Their ability to translate data into actionable insights and communicate findings to stakeholders (e.g., 'Findings informed email retention campaigns', 'Enabled stakeholders to identify slow-moving items') suggests good communication and data storytelling skills. The experience in optimizing processes and reducing customer drop-off rates indicates an operational mindset focused on efficiency and impact.