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sagar singh

sagar singh

Data Analyst

0+ yrs exp 80 · Excellent

About

Data Analyst with a proven track record of engineering end-to-end SQL, Python, and Power BI pipelines across 10M+ records spanning e-commerce, mobility, and workforce analytics. Skilled at converting raw transactional and operational data into revenue- and cost-focused decisions — demonstrated impact includes identifying a $700K+ payment-funnel recovery opportunity and forecasting an 11% demand decline across 10.38M+ trip records.

Skills & Expertise (36)

Python Advanced
8.4/10
2
Years Exp
SQL Advanced
8.4/10
2
Years Exp
Pandas Advanced
8.2/10
2
Years Exp
NumPy Advanced
8.0/10
2
Years Exp
Statistical Analysis Advanced
7.8/10
2
Years Exp
Power BI Intermediate
7.6/10
2
Years Exp
Data Cleansing Intermediate
7.6/10
2
Years Exp
Data Modelling Intermediate
7.4/10
2
Years Exp
Data Profiling Data Validation KPI Reporting EDA Customer Segmentation Cohort Analysis Funnel Analysis COUNTIF Pivot Table duplicate detection Dashboards Power Query Anomaly Detection DAX Excel Star Schema Views Indexes Subqueries Window Functions CTEs MySql Scikit Learn SciPy statsmodels Plotly Seaborn Matplotlib

Work Experience

Data Analyst

NYC Yellow Taxi Performance Analytics

Jun 2026 - Jul 2026

Forecasted an 11% decline in daily trip volume over the next 14 days (ARIMA, MAPE 8.76%), flagging a near-term demand risk before it would show up in monthly reporting. Found borough economics differ structurally, not by chance (η² = 0.366) — Queens trips average ~11 mi vs. ~2.5 mi in Manhattan — meaning fleet mix should be borough-specific, not citywide. Identified revenue heavily concentrated in 10 of 259 zones (37.9% of total), making the forecasted decline both sizeable and geographically targetable for capacity adjustments.

Data Analyst

E-Commerce Conversion Funnel Analysis

May 2026 - Jun 2026

Identified a 50.91% payment-stage abandonment rate across 367K+ transactions — traced to mobile UX friction in three high-revenue markets — representing an estimated $700K+ in recoverable revenue and signaling checkout redesign as a higher-ROI lever than acquisition spend.

Data Analyst

HR Analytics & Employee Attrition Analysis

Apr 2026 - Apr 2026

R&D accounts for 56% of all attrition, concentrated in Laboratory Technician (62) and Sales Executive (57) roles — both specialized and high-cost to replace. Early-career employees (25–34) are the highest-risk segment by a wide margin, pointing to a growth/engagement gap rather than compensation alone. Recommended redirecting retention spend from a company-wide program to two roles in one department — the highest-leverage fix for the lowest cost.

Education

B.Tech — Mechanical Engineering - AKTU, Lucknow

- · Afghanistan

Data Analytics — Self-Directed Learning

- · Afghanistan

Certifications

No certifications added yet

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceJul 2026

Availability Details

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