---
title: "Vaibhav Raj - Automobile Engineer in Gurugram | Tal"
description: "Meet Vaibhav Raj, Data Analyst | SQL | Excel | Power BI | Automobile Engineer with Analytical Mindset based in Gurugram. AI stack includes claude code and openai. Explore public work links including github."
image: "https://tal.club/meet/vaibhav-raj-2/share-image"
---

# Vaibhav Raj on Tal

## Headline

Data Analyst \| SQL \| Excel \| Power BI \| Automobile Engineer with Analytical Mindset

## About

I am an Automobile Engineering graduate with a strong interest in Data Analytics and a passion for turning raw data into meaningful insights\. With hands\-on experience in SQL, Excel, and Power BI, I have worked on analyzing datasets, building dashboards, and extracting actionable insights to support decision\-making\. My engineering background helps me approach problems logically and understand real\-world systems, especially in the automotive domain\. I am particularly interested in working with data related to vehicles, performance, customer behavior, and business operations\. Currently, I am looking for opportunities as a Data Analyst where I can apply my analytical skills, grow in a data\-driven environment, and contribute to impactful projects\.

## Location

Gurugram

## AI stack

claude code

openai

## Work experience

Automobile Engineer at Zekardo, Sep 2024 \- Mar 2026 · 1 yr 7 mos, Gurugram, Haryana, India, • Conducted Pre\-Delivery Inspections \(PDI\) of vehicles, ensuring quality standards, compliance, and accurate documentation before customer delivery\. • Collected, cleaned, and analyzed operational and inspection data to support business decision\-making and performance tracking\. • Developed and maintained Excel\-based reports and dashboards to monitor KPIs, inspection outcomes, and operational efficiency\. • Performed data validation and quality checks to ensure accuracy and consistency across datasets and inspection records\. • Collaborated with cross\-functional teams to resolve quality issues and improve vehicle readiness processes\. • Generated periodic business and operational reports, providing actionable insights to stakeholders\. • Identified trends and process improvement opportunities through data analysis, contributing to enhanced operational performance\. • Maintained and organized inspection, inventory, and operational records to support reporting and compliance requirements\.

Intern at Tata Motors, Sep 2024 \- Mar 2026 · 1 yr 7 mos, Analyzed production line data to identify inefficiencies and workflow bottlenecks\. Created and maintained Excel sheets for record\-keeping, process tracking, and performance monitoring\. Improved throughput by 25% and supported inspection analysis that helped reduce defect rates by 10%\.

Internship Trainee at Tata Motors, Jun 2023 \- Jul 2023 · 2 mos, Lucknow, Uttar Pradesh, India, Analyzed production line data to identify inefficiencies and workflow delays\. Contributed to improving throughput by approximately 25% through better process tracking\. Supported inspection analysis that helped reduce defect rates by around 10% Assisted in monitoring performance metrics and improving operational efficiency\.

Corporate Head at Team Enigmatic Plodder, Mar 2023 \- Mar 2024 · 1 yr 1 mo, Chennai, Tamil Nadu, India, Managed sponsorship and financial data, ensuring accurate tracking of funds and expenses\. Monitored budget allocation and maintained structured records for reporting purposes\. Supported decision\-making by organizing and analyzing financial data\. Coordinated with external partners and internal teams for smooth operations

Vehicle Dynamics Head at Team Enigmatic Plodder, Feb 2022 \- Mar 2024 · 2 yrs 2 mos, Chennai, Tamil Nadu, India, I have been part of an offroad team at SRM University since my second year and was the vehicle dynamics head of the team\. Team Enigmatic Plodder is the official quad\-bike team of the university and takes part in competitions such as QBDC, QUADTORQ, RCDC\. I was a part of the design and implementation of new suspension geometry using Lotus Shark

Quantitative Research Specialist at J\.P\. Morgan Chase, Applied quantitative research and financial analytics techniques to solve forecasting, pricing, and credit risk problems using Python\. Developed Python models for natural gas forecasting and financial modeling\. Performed credit risk analysis and implemented FICO score bucketing to support customer risk segmentation\. Utilized Python, Pandas, and NumPy to analyze financial datasets and generate data\-driven insights\.

## Education

Bachelor of Technology \- BTech, Automobile, SRMIST, Kattankulathur, Chennai ,Tamil Nadu

senior secondary, Science, Central Academy Schools

## Public links

- github: https://github\.com/vaibhavraj\-04

[View the original profile](https://tal.club/meet/vaibhav-raj-2)

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