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

On-site

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Hyderabad, Telangana, India







Master of Science - MS, Data analytics
Dublin Business School

Bachelor of Engineering - BE, Mechanical Engineering
Amrita Vishwa Vidyapeetham
Join Hitesh and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossMachine Learning Engineer | Data Engineer | AI-Driven Analytics | GCP | Python | Spark | Fraud Detection | Google ADK
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
India
claude code
claude
cursor
gemini
geminicli
github copilot
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.
Master of Science - MS, Data analytics, Dublin Business School
Bachelor of Engineering - BE, Mechanical Engineering, Amrita Vishwa Vidyapeetham