---
title: "Hitesh Vinjamuri - Data Engineer in India | Tal"
description: "Meet Hitesh Vinjamuri, Machine Learning Engineer | Data Engineer | AI-Driven Analytics | GCP | Python | Spark | Fraud Detection | Google ADK based in India. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/hitesh-vinjamuri/share-image"
---

# Hitesh Vinjamuri on Tal

## Headline

Machine Learning Engineer \| Data Engineer \| AI\-Driven Analytics \| GCP \| Python \| Spark \| Fraud Detection \| Google ADK

## About

Machine Learning & Data Engineer with hands\-on experience designing scalable data pipelines, deploying AI/ML models, and building real\-time analytics platforms across global companies like Walmart, Capgemini, and Aeologic Technologies\. Skilled in Big Data processing \(Spark, Kafka\), cloud services \(GCP, Serverless, BigQuery\), and ML frameworks \(Scikit\-learn, TensorFlow, Prophet\)\. Career highlights include: • Delivered ML\-based fraud detection models at Walmart, saving \~$300K per driver • Built ingestion frameworks reducing dev effort by 80% and optimized pipelines for Walmart AE sales • Engineered demand forecasting models using XGBoost, boosting planning accuracy for retail clients Passionate about AI\-driven problem solving, scalable ML deployment, and driving measurable business impact through data\. 📌 Tools: Python, SQL, Spark, GCP, Tableau, Scikit\-learn, Airflow, ADK, LangChain

## Location

India

## AI stack

claude code

claude

cursor

gemini

geminicli

github copilot

## Work experience

Data Engineer at Walmart Global Tech, May 2024 \- Present · 2 y 6 mo, On\-site, Building large\-scale ML\-driven data systems for Last\-Mile Delivery at Walmart\. Led key migrations \(Dataproc → Serverless, Automic → Airflow\), developed ingestion pipelines and validation tools, and implemented fraud detection ML models resulting in \~$300K savings per driver\. Key Highlights: • Delivered critical KPIs \(OTD, CPD, Dwell Time\) for ops optimization • Built application for fraud detection • Developed fraud detection agents reducing investigation time by 75% • Managed cost optimization and operational reliability

Senior Data Analyst at Capgemini, Aug 2021 \- Aug 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India, I played a key role in enhancing finance data security through collaborative measures with the finance department, ensuring the protection of sensitive data in databases\. Throughout these initiatives, I demonstrated proficiency in AI & ML programming languages, including SQL, SSIS, and SSRS, effectively managing complex projects in the dynamic field of data analytics\.

Data Analyst at Capgemini, Aug 2020 \- Aug 2021 · 1 yr 1 mo, Bengaluru, Karnataka, India, I earned the Rising Star Award for my exceptional performance\. I spearheaded a 15% increase in profit growth within the retail and food service sectors\. Leveraging advanced AI & ML\-powered data visualization tools like Tableau and AWS Quicksight, I directed the creation of detailed reports, showcasing my ability to translate complex data into actionable insights\. I collaborated with international teams, utilizing AI & ML techniques to analyse and harmonize substantial datasets for effective global data collaboration\. I adhered to industry standards, implementing advanced data mining and analysis techniques to protect sensitive information in databases\. I led a blockchain implementation project, addressing potential disadvantages critically\.

Business Analyst at AeoLogic Technologies, Mar 2019 \- Aug 2020 · 1 yr 6 mos, Hyderabad, Telangana, India, I significantly contributed to the company's success by driving a remarkable 25% annual growth in business revenue\. Through strategic analysis and reporting, I demonstrated strong analytical and problem\-solving abilities, playing a crucial role in the company's financial achievements\. Additionally, I spearheaded initiatives that led to a 10% increase in merchandising operations efficiency, showcasing my dedication to optimizing business operations\. I streamlined data across diverse systems using my expertise in data modeling and SQL\. I took the lead in data analyses and reporting, leveraging SQL and Python to facilitate data\-driven decision\-making processes\. My role also involved formulating impactful business intelligence strategies, guiding company directives and policies and demonstrating a holistic approach to driving organizational success\.

## Education

Master of Science \- MS, Data analytics, Dublin Business School

Bachelor of Engineering \- BE, Mechanical Engineering, Amrita Vishwa Vidyapeetham

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

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