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Data Analyst with less than a year in SQL, Python & Data Visualization.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, Advanced Excel, Power BI, and Tableau with experience in data cleaning, EDA, dashboard development, and business insight generation. Proficient in leveraging data modeling and DAX measures to deliver actionable insights and support data-driven decision-making.
Raja Balwant Singh College, Agra
M.Com. · Applied Business Economics
August 1, 2021 – June 30, 2023
Bhim Rao Ambedkar University, Agra
Bachelors of Commerce
August 1, 2018 – June 30, 2021
Deloitte (Forage)
Data Analytics Virtual Experience Program
May 1, 2026 – June 30, 2026
India
Customer Behaviour Analytics Project
May 1, 2026 – Present
Cleaned and processed 100,000+ retail transaction records using Python (Pandas), handling duplicates, missing values, invalid data, and feature engineering with Microsoft Copilot used for coding assistance and debugging. Performed SQL-based business analysis using CTEs, joins, views, aggregations, window functions, and ranking functions to analyze revenue trends, customer purchasing patterns, and product performance. Built an interactive 3-page Power BI dashboard to visualize customer segmentation, repeat buyers, monthly revenue trends, and country-wise sales performance using DAX measures, KPI cards, filters, and drill-down analysis. Identified that nearly 90% of customers belonged to the low-value segment, while repeat buyers contributed a significantly higher share of overall revenue.
Subscription Analytics Project
May 1, 2026 – June 30, 2026
Merged and cleaned 2 subscription dataset 100,000+ subscription user records using Python (Pandas, NumPy), handling duplicates, missing values, inconsistent region formats, and invalid watch-time values to create analysis-ready datasets while leveraging Microsoft Copilot for coding assistance and debugging. Designed relational database schemas using foreign key relationships and wrote advanced SQL queries with JOINS, CTEs, and window functions for customer engagement and revenue trend analysis. Built a 4-page interactive Power BI dashboard using data modeling, one-to-many relationships, DAX measures, dynamic KPIs, slicers, and drill-down analysis to monitor customer engagement, subscription conversion, retention behavior, and financial growth trends. Identified high-retention unpaid users and uncovered Month-on-Month revenue fluctuations, enabling data-driven insights into customer conversion opportunities and business growth performance.
Basics of Data Analytics
Microsoft (Physics Wallah)
June 13, 2026 – Present
Data Analytics Job Simulation
Deloitte (Forage)
June 13, 2026 – Present
CA Foundation (Qualified)
ICAI
November 1, 2018 – Present
Cultural Fit Analysis
The candidate's project diversity, covering customer behavior and subscription analytics, aligns well with typical data analyst responsibilities. The use of various tools (Python, SQL, Power BI, Tableau, Excel) and AI assistance indicates a broad skill set and a willingness to adopt new technologies. The academic background in Applied Business Economics further strengthens the business understanding aspect, which is valuable for cultural fit in a data-driven organization. The candidate appears to be a self-starter, which is a positive cultural attribute.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development through personal projects and virtual experience programs. The use of AI tools suggests an adaptability to modern development practices. The project descriptions indicate an ability to translate technical analysis into business insights, which is crucial for an operational data analyst role. However, without direct work experience beyond an internship, the operational fit regarding team collaboration and handling complex stakeholder requirements is not fully evident.