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Aditya Pagar

Aditya Pagar

Data Analyst

Mumbai, India 1+ yrs exp 83 · Excellent

About

Data Analyst with 1+ years of hands-on experience in financial reconciliation, process optimization, and operational analytics. Managed logistics, commission, and warehouse reconciliation at Flo Mattress, including ownership of a COD (Cash-on-Delivery) reconciliation framework. At Rubixe, analyzed large-scale datasets to identify operational inefficiencies and support data-driven business decisions. Skilled in SQL, Python, Excel, and building reconciliation workflows that improve data accuracy and reporting integrity.

Skills & Expertise (22)

Problem-solving Advanced
8.0/10
2
Years Exp
Pandas Intermediate
7.5/10
2
Years Exp
NumPy Intermediate
7.5/10
2
Years Exp
Python Intermediate
7.5/10
2
Years Exp
SQL Intermediate
7.5/10
2
Years Exp
Cross-functional coordination Intermediate
7.0/10
2
Years Exp
Financial reconciliation Intermediate
7.0/10
2
Years Exp
Data Cleaning Intermediate
7.0/10
2
Years Exp
Jupyter Notebooks Intermediate
7.0/10
2
Years Exp
Advanced Excel Intermediate
7.0/10
2
Years Exp
GitHub Intermediate
6.5/10
2
Years Exp
Git Intermediate
6.5/10
2
Years Exp
scikit-learn Intermediate
6.5/10
2
Years Exp
SQL Server Intermediate
6.0/10
2
Years Exp
MySql Intermediate
6.0/10
2
Years Exp
Flask Beginner
5.0/10
FastAPI Beginner
5.0/10
Google Gemini API Beginner
4.0/10
Claude Beginner
4.0/10
OpenAI Beginner
4.0/10
EDA RCA

Work Experience

Data Analyst

Flo Sleep Solutions Pvt Ltd

May 2026 - Jul 2026

Designed and deployed automated reconciliation system for 3 critical workflows: Logistics Reconciliation (shipping vs. billing accuracy), Commission Reconciliation (vendor payouts vs. actual sales), and Warehouse Reconciliation (inventory counts vs. system records), reducing manual audit time by 60%. Built end-to-end COD (Cash-on-Delivery) reconciliation pipeline — automated data extraction from multiple sources, validation rules for payment discrepancies, and exception handling for failed transactions. Processed 5000+ daily transactions with 99%+ accuracy. Developed Streamlit live dashboard for real-time reconciliation monitoring, visualizing reconciliation status by warehouse/commission type, flagging exceptions automatically, and enabling operations team to resolve discrepancies same-day instead of month-end. Leveraged Python (Pandas, NumPy) for ETL workflows, SQL for cross-database validation, and built alerting system for critical reconciliation failures — reducing financial discrepancies by 75% and improving cash flow visibility.

Data Analyst (Manufacturing Operations)

CEAT Tyres Ltd

Jun 2024 - Jul 2025

Analyzed daily production reports to identify equipment inefficiencies — tracked machine downtime, defect rates, and material losses across the facility. Identified 12+ critical bottlenecks causing 8-12% production loss monthly. Conducted Root Cause Analysis (RCA) on recurring equipment failures and quality issues — diagnosed root causes, recommended process changes, and tracked impact of improvements. Reduced defect rate from 3.2% to 1.8% within 3 months. Coordinated with production teams (20+ personnel) to validate SOP compliance, collect performance metrics, and implement data-driven improvements — achieved 95%+ equipment uptime and 15% reduction in material waste. Built daily production dashboards in Excel tracking KPIs by machine, shift, and product line — provided visibility on bottlenecks and enabled real-time decision-making.

Education

Mechanical Engineering - Savitribai Phule Pune University (SPPU)

2021 - 2024 · Afghanistan

Mechanical Diploma - RSM Polytechnic

2019 - 2021 · 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 8/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 83/100

Profile Overview

Member sinceJul 2026

Availability Details

Visa Status

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Relocation

Not Open to Relocation