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Data Analysts with less than a year in SQL, Power BI, Excel, and Python.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Data Analyst Fresher pursuing a B.E. in Computer Engineering. Skilled in SQL, Excel, Power BI, and data visualization with hands-on experience through academic and personal projects. Proficient in data cleaning, analysis, and dashboard creation. Eager to apply analytical and problem-solving skills to support data-driven decision-making and contribute to organizational growth.
Brahma Valley College of Engineering & Research Institute
B.E. Computer Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
New English School And Junior College Baragaon Pimpri
HSC · 12th Grade
June 1, 2022 – May 31, 2022
New English School And Junior College Baragaon Pimpri
SSC · 10th Grade
June 1, 2020 – May 31, 2020
Data Cleaning & Transformation Project
May 1, 2025 – May 1, 2025
Processed a raw 6,500-row data-set with 18% missing values, duplicate records, and inconsistent formatting; delivered a clean, analysis-ready data-set with 99.2% accuracy. Applied Excel Power Query and Python (pandas) techniques including null imputation, duplication, data type standardization, and outlier detection. Documented a repeatable data cleaning work-flow adopted as a reference process for future analysis projects, reducing pre-processing time by 50%.
E-Commerce Data Analysis
April 1, 2025 – April 1, 2025
Queried 8,000+ transactional records from an e-commerce database to analyze customer purchase frequency, average order value, and product category performance. Detected a 35% seasonal demand surge in the Electronics category during Q4, providing data-backed recommendations for inventory planning and promotional budgeting. Generated monthly and category-wise sales reports using SQL aggregation and Excel dashboards, reducing manual reporting time by approximately 40%.
HR Analytics Dashboard
March 1, 2025 – March 1, 2025
Developed a workforce analytics dashboard analyzing attrition patterns across 1,200+ employee records, segmented by department, tenure, and performance tier. Applied DAX measures to compute attrition rate (15.4%), average tenure, and headcount trends; visualized results using stacked bar charts and KPI cards. Surfaced key retention risk signals showing 68% of attrition occurring in the 0–2 year tenure band, enabling HR to prioritize early-stage engagement programs.
Customer Segmentation Analysis
February 1, 2025 – February 1, 2025
Designed and queried a relational retail database using advanced SQL (multi-table JOINs, GROUP BY, HAVING, sub queries) to segment 5,000+ customers by purchase behavior. Identified the top 15% of customers contributing to 60% of total revenue; surfaced up-sell opportunities resulting in a projected 12% increase in repeat purchase targeting. Built Excel-based cohort analysis and segmentation reports that delivered actionable marketing insights for seasonal promotions and loyalty campaigns.
Sales Performance Dashboard
January 1, 2025 – January 1, 2025
Analyzed 10,000+ row sales data set to uncover revenue trends, top-performing SKU's, and regional performance patterns across quarterly periods. Designed and deployed an interactive Power BI dashboard featuring 8+ KPI's, dynamic slicers, and drill-through filters enabling monthly and quarterly drill-down analysis. Executed data cleaning and pre-processing in Excel using Pivot Tables, XLOOKUP, and Conditional Formatting; reduced data inconsistencies by 30%. Identified a 20% revenue spike in Q3 attributed to 3 high-margin product categories, enabling the sales team to realign targeting strategy for Q4.
Data analaytics Job Simulation
Data analaytics forage certificate
June 1, 2026 – Present
Tata's GenAI Powered Data Analytics
GenAI Powered Data Analytics JobSimulation
June 1, 2026 – Present
Data Visualisation: Empowering Business with Effective Insights
Data Visualisation by forage.pdf
June 1, 2026 – Present
Hacker-rank SQL Certificate
Hacker-rank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data analysis skills across different domains (retail, HR, e-commerce, sales), indicating adaptability and a broad interest in data-driven problem-solving. The certifications further demonstrate a proactive learning attitude. While the experience is primarily academic, the focus on practical application and generating business insights suggests a good alignment with a results-oriented culture. The target role of 'Data Analysts (Intern)' is well-matched with the candidate's current skill set and experience level.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, and attention to detail, which are crucial for a Data Analyst role. Their ability to work on academic projects independently and document processes suggests a structured approach to tasks. The projects indicate a good understanding of business context and the ability to translate data into actionable insights, aligning well with operational needs. However, as an intern, direct experience in a corporate operational setting is limited.