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Data Analyst with less than a year in SQL, Python, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with a strong business focus, experienced in converting large and complex datasets into actionable insights. Hands-on experience analyzing more than 158M+ sales pipeline records and 100K+ customer transactions to identify revenue leakage, churn drivers, and operational inefficiencies using SQL, Python, and BI tools.
University of Delhi
B.Sc. Physical Science with Computer Science · Physical Science with Computer Science
August 1, 2024 – June 30, 2027
Hiring Funnel Conversion Analysis Across Recruitment Channels
December 1, 2025 – June 1, 2026
Analyzed 366K+ job applications to measure a 17x conversion efficiency gap between WhatsApp and Email. Identified channel preference by seniority: entry-level candidates showed 19% higher response on WhatsApp, while mid-level candidates responded 28% better via Email. Benchmarked open rates of 15.6% against industry standards of 28-30% to guide channel allocation decisions.
Diagnosing Revenue Leakage in a B2B Sales Pipeline
November 1, 2025 – December 1, 2025
Analyzed 158M+ pipeline records across ten months, identifying that 83% of deals were stalled in the Commercial Review stage for an average of 414 days. Estimated $20-40M in revenue recovery potential by quantifying stage-duration bottlenecks. Identified 55+ key accounts with only 19% activity coverage and proposed a workflow to improve coverage to 60%. Built a financial impact model projecting a 340-500x ROI by addressing untracked sales activities.
First-Purchase Churn Diagnosis and Customer Value Segmentation
September 1, 2025 – November 1, 2025
Diagnosed a 99% churn rate after first purchase using 100K+ transaction records, identifying critical retention gaps. Performed RFM segmentation to identify a high-value Champions segment holding $4.6M in at-risk revenue. Found that the top 8% of customers generated $5.9M in revenue, enabling a tiered retention strategy.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis across sales, customer retention, and HR, indicating adaptability and a broad interest in business problems. The focus on quantifiable results and business value aligns with a performance-driven culture. However, the candidate's current education status (second year of a bachelor's degree) and lack of professional experience suggest a junior profile, which might require significant mentorship in a senior-level role. The target role 'Data Analyst' is broad, and the candidate's project work aligns well with this, but the 'senior' aspect of the evaluation is not fully supported by the current experience level.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on problem-solving and delivering quantifiable business impact, which aligns well with operational effectiveness. The ability to work with large datasets and identify critical bottlenecks suggests a detail-oriented and analytical mindset. However, without direct assessment data on collaboration or stress handling, it's difficult to fully assess soft skills and operational fit beyond what's inferred from project outcomes.