---
title: "Rajiv Rajkumar - Data Scientist in Hyderabad | Tal"
description: "Meet Rajiv Rajkumar, Data Scientist based in Hyderabad. AI stack includes antigravity, claude code, and codex."
image: "https://tal.club/meet/rajiv-rajkumar/share-image"
---

# Rajiv Rajkumar on Tal

## Headline

Data Scientist

## About

Skilled Automotive Engineer with prior experience designing, developing and deploying production grade machine learning systems for autonomous cars and sports betting companies\. Excellent communication skills and team leader who works effectively with all levels of employees in cross\-functional teams\. Proven track record of success in building and delivering high\-impact machine learning solutions

## Location

Hyderabad

## AI stack

antigravity

claude code

codex

## Work experience

Data Scientist at Ravity Software Solutions Pvt\. Ltd\., Sep 2024 \- Present · 2 yrs 3 mos, Bengaluru, Karnataka, India, • Data Scientist for Maruti: Developed predictive models for vehicle part failure using diagnostic trouble codes, employing Random Forest and exploratory data analysis to identify key performance indicators\. • Road Profiling at Volvo: Implemented solutions for road health estimation using the International Roughness Index, enabling pothole and bump detection\. • Generative AI for Automotive: Built a tailored AI product leveraging retrieval\-augmented generation models to optimize large language models for vehicle regulation queries\. • Predictive Analytics Expertise: Specialized in data\-driven insights for proactive diagnostics and enhanced vehicle reliability\. • Automotive Industry Impact: Delivered end\-to\-end AI solutions for vehicle systems and road health, advancing innovation in automotive technologies\.

Technology Associate at Elait, Nov 2021 \- Aug 2024 · 2 yrs 10 mos, Chennai, Tamil Nadu, India, • Automated data preparation tasks and workflow using Apache Airflow and shell scripting to ensure daily execution in production • Created, optimized, reviewed and executed Teradata SQL test queries to validate transformation rules used in source to target mappings/source views and to verify data in target tables • Experienced in data manipulation using python for loading and extraction as well as with python • libraries such as NumPy, SciPy and Pandas for data analysis and numerical computations • Developed machine learning models for user churn prediction using libraries such as tensorflow\.

Data Analytics Engineer at Ford Motor Company, May 2021 \- Aug 2021 · 4 mos, Chennai, Tamil Nadu, India, • Implemented data workflow with Alteryx based on business targets • Created a dashboard for business metrics in QlikView for prediction of manufacturing lead time • Designed and developed a machine learning model for lead time prediction of various vehicle lines • Improved performance of existing regression models with neural networks

Automotive Engineer at Integra Technologies, LLC, Jan 2018 \- Feb 2021 · 3 yrs 2 mos, San Francisco Bay Area, Integra technologies acts as an interface between Original Equipment manufacturer, customers, internal development, manufacturing and commercial staff\. • Analyzed design data to determine if designs can be produced by existing manufacturing processing facilities and methods • Evaluated accuracy of Finite Element Analysis results with regards to theory and test correlation • Utilized SaS tool for analysis of design data and design package studies for validation purposes • Co\-ordinated between testing and development programs to meet desired objectives in cost control, quality assessment and improved productivity

Software Engineer at lvl5, Inc\., Nov 2017 \- Jan 2018 · 3 mos, San Francisco Bay Area, Lvl5\.ai makes computer vision software to crowd source high accuracy maps for self driving cars\. The Technology is designed to improve the driving experience while scaling to support full autonomy\. • Calibrated and integrated ADAS sensors of camera and LIDAR for purposes of simultaneous localization and mapping • Implemented sensor fusion of GPS, IMU and Vehicle odometer with an Extended Kalman Filter • Visualized the attitude and heading values of the vehicle in robotic operating system in an urban driving environment • Developed the application in a Docker container for rapid prototyping on the mapping vehicle

## Education

Master's degree, Automotive Engineering, Clemson University

Self driving car nanodegree, Deep learning, sensor fusion and path planning, Udacity

[View the original profile](https://tal.club/meet/rajiv-rajkumar)

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