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Data Analyst with less than a year in SQL, Python, Power BI, and data warehousing.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in SQL, Python, Power BI, and MS Excel. Skilled in building end-to-end analytics solutions including ETL pipelines, data warehousing, and interactive dashboards. Proven ability to translate complex datasets into clear, actionable insights for both technical and non-technical stakeholders. Strong background in data modeling, star schema design, and business reporting.
Noida Institute of Engineering and Technology (NIET)
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
Customer Churn Analysis
June 24, 2026 – Present
Performed end-to-end exploratory data analysis (EDA) on customer data to identify key churn drivers including behavior patterns and demographic indicators. Used Pandas and NumPy for data cleaning, transformation, and feature analysis; created Matplotlib visualizations to communicate churn trends and at-risk segments to stakeholders. Delivered actionable insights to improve customer engagement and retention strategies, supporting data-driven business decision-making.
View ProjectEnd-to-End Data Warehouse
June 24, 2026 – Present
Designed and implemented a SQL-based data warehouse using Bronze, Silver, and Gold layers (Medallion Architecture) ensuring scalable and structured data processing. Built end-to-end ETL pipelines to ingest raw CRM and ERP data; performed data cleaning, transformation, and standardization using T-SQL. Applied advanced SQL techniques including window functions and implemented SCD Type 2 for historical data tracking; developed Star Schema for efficient BI reporting.
View ProjectWalmart Retail Sales Dashboard
June 24, 2026 – Present
Designed an interactive Excel dashboard tracking KPIs (sales, profit margins, category and regional trends); reduced manual reporting effort by ~40% using dynamic Pivot Tables and Slicers. Built Power Query pipelines to extract and clean raw transactional data; applied conditional formatting and outlier highlighting to surface actionable insights for decision-makers. Enabled self-service analytics across region, product category, and time dimensions, eliminating repetitive ad-hoc data requests from the business team.
View ProjectData Analytics
Acciojob
June 1, 2026 – Present
Introduction to Artificial Intelligence (AI)
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a practical, results-oriented approach to data analysis, focusing on delivering business value (e.g., reducing manual reporting, identifying churn drivers). The diversity of projects (data warehousing, churn analysis, sales dashboards) indicates adaptability and a broad interest in different data challenges. The inclusion of GitHub links suggests a collaborative and transparent approach to development. However, with no professional experience, the cultural fit is primarily inferred from project descriptions and self-declared core skills.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication', 'Adaptability', 'Critical Thinking', and 'Stakeholder' as core skills. Project descriptions also indicate an ability to communicate insights to stakeholders and support data-driven decision-making. However, without specific assessment data on these soft skills or direct work experience, the operational fit is difficult to fully ascertain beyond self-reported claims.