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Data Analyst with 2+ years in Data Analytics & BI
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Data Analytics Professional with 2 years of hands-on experience in recruitment data pipeline tracking, conversion metrics, and stakeholder reporting. Skilled in SQL, Python (Pandas), Power BI, and Advanced Excel. Built end-to-end analytics projects including a Recruitment Funnel Dashboard (559 submissions, $725K revenue tracked) and Amazon E-Commerce Analysis (99.41M revenue, 10K orders).
Jawaharlal Nehru Technological University, Hyderabad
Bachelor of Technology · Electrical & Electronics Engineering
N/A – June 30, 2022
Avance Consulting
Technical Recruiter
March 1, 2024 – March 1, 2026
India
Recruitment Analytics Dashboard
June 1, 2026 – Present
Built an end-to-end recruitment analytics workflow—from raw data to interactive dashboard—using a star schema relational model across three linked tables (Jobs, Pipeline, Finance). Performed data cleaning in Excel, Python (Pandas), and MySQL—handling missing values, standardizing columns, and correcting data types. Conducted EDA using Python with bar charts, pie charts, heatmaps, and line plots to uncover hiring trends, recruiter performance, and sourcing effectiveness. Wrote 10+ SQL queries including pipeline funnel analysis, recruiter ranking using CTE + DENSE_RANK, backout rate by visa type, client fill rate, and TAT bucket distribution. Built an interactive Power BI dashboard with 11 visuals and 2 slicers covering KPIs, pipeline funnel, recruiter ranking, sourcing analysis, and client performance matrix. Results: 559 submissions → 116 joins | 20.75% conversion rate | $725K revenue | 35 days avg TAT | 6 clients
View ProjectAmazon E-Commerce Analytics
June 1, 2026 – Present
Analyzed a simulated e-commerce dataset of 10,000 transactions covering sales, customer behavior, product performance, delivery operations, and return rates. Performed data cleaning in Excel—removed duplicates, handled nulls, standardized date formats, and corrected data type mismatches. Developed 16 SQL queries covering revenue by category and brand, monthly sales trends, payment distribution, top cities by orders, product ratings, delivery status, and profitability. Built a multi-page interactive Power BI dashboard with DAX measures, slicers, and filters across 4 views—Executive Overview, Customer Insights, Product & Seller Analysis, and Delivery & Operations. Results: 99.41M revenue | 10K orders | 10.51% return rate | 3.20 avg shipping days | Electronics top category at 66.17M | Samsung top brand at 9.1M
View ProjectMS Excel Simplilearn
Simplilearn
June 1, 2026 – Present
Introduction to SQL - Simplilearn
Simplilearn
June 1, 2026 – Present
Advanced SQL - upGrad
upGrad
June 1, 2026 – Present
Excel with LinkedIn Recruiter
LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background as a Technical Recruiter, while not directly a Data Analyst role, shows experience in a data-driven environment focused on metrics and reporting. The projects demonstrate a clear pivot towards data analytics, indicating a strong interest and initiative in the field. The diversity of projects (recruitment and e-commerce) shows adaptability. However, the lack of diverse industry experience beyond recruitment and simulated e-commerce, and the relatively recent transition to data analytics, suggests a need for further exposure to different data challenges and business contexts to fully align with a senior data analyst role.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication', 'Stakeholder Reporting', and 'Team Collaboration' as soft skills. The project descriptions and work experience as a Technical Recruiter demonstrate practical application of these skills, particularly in stakeholder reporting and problem-solving related to recruitment data. The ability to build personal Excel dashboards for tracking indicates a proactive and organized approach to operational tasks.