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Pranav Bhawane

Pranav Bhawane

Data Analyst

Hinjewadi Phase 1, Pune
85
Profile Score

About

Data Analyst with 2 years of experience delivering client-ready insights across supply-chain, logistics, and marketing domains. Skilled in SQL, Python (Pandas, NumPy, PySpark), and BI dashboarding with Power BI and Tableau. Experienced in cloud platforms (AWS, Snowflake, Databricks) and CI/CD practices for scalable data solutions. Adept at designing reusable data models, preparing features for AI-driven analytics, and collaborating in Agile environments using JIRA and Confluence. Proven ability to translate complex datasets into actionable insights that drive business transformation.

Skills & Expertise (26)

Power BI Advanced
8.5/10
2
Years Exp
Python Advanced
8.3/10
2
Years Exp
SQL Advanced
8.1/10
2
Years Exp
Governance Documentation Confluence Jira Agile delivery Cd pipelines Predictive Modeling Hypothesis Testing Cohort Analysis Forecasting Tableau Row-Level Security DAX Databricks Snowflake AWS ETL Pipelines Gitlab Excel scikit-learn PySpark NumPy Pandas

Work Experience

Data Analyst

TechMahindra

Sep 2024 - Present

Designed and deployed 10+ Power BI dashboards, enabling real-time KPI visibility for executives. Implemented row-level security and advanced DAX measures to deliver secure, dynamic reporting. Automated SQL/Python pipelines, saving 15+ hours/month and ensuring timely refresh of dashboards. Built predictive models with 95% accuracy to forecast delivery KPIs, supporting budget and capacity planning. Prepared features and conducted exploratory analysis for AI-driven analytics initiatives. Implemented CI/CD practices with GitLab for automated pipeline deployment, ensuring scalable delivery. Documented ETL workflows and dashboard methodologies to support audit, compliance, and knowledge transfer.

Data Analyst

eClerx

Jun 2023 - Jan 2024

Analysed large-scale financial transaction and deduction datasets (2.5M+ rows) using SQL to identify discrepancies, recoverable chargebacks, and operational inefficiencies. Identified approximately $90K in recoverable deductions through data analysis and dispute validation workflows. Developed Excel-based audit and validation templates with advanced formulas to monitor invoice discrepancies and improve financial data accuracy. Built Power BI dashboards tracking order cycle time, deduction recovery, and operational KPIs, enabling leadership to monitor performance trends and process compliance. Automated data cleansing and anomaly detection workflows using Python scripts to improve reporting reliability and reduce manual intervention.

Education

Bachelor of Engineering in Civil Engineering - C.O.E.T.A

2019 - 2022 · Afghanistan

Certifications

Data Analysis with Python

IBM · 2024

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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 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceMar 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation