Hitesh Vinjamuri profile photo 1 on Tal

Hitesh Vinjamuri

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

India

5+ years of work experience

Walmart Global Tech
May 20242 y 6 moPresent

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
Capgemini
Aug 20211 yr 1 moAug 2022

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.
Capgemini
Aug 20201 yr 1 moAug 2021

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.
AeoLogic Technologies
Mar 20191 yr 6 mosAug 2020

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.

Hitesh’s AI Stack

claude code
claude code
claude
claude
cursor
cursor
gemini
gemini
geminicli
geminicli
github copilot
github copilot

Education

Dublin Business School

Master of Science - MS, Data analytics

Dublin Business School

20221 yr2023
Amrita Vishwa Vidyapeetham

Bachelor of Engineering - BE, Mechanical Engineering

Amrita Vishwa Vidyapeetham

20164 yrs2020

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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