Owned the entire ML Engineering & ML Platform Architecture and implementation of the MLOps function in AB InBev for FinTech Initiatives (ZTech).With a key focus on improving the Model Development Lifecycle & Model Performance, supporting Business KPIs, and DS productivity on the ML Platform, developed best practices to operationalize Machine Learning Models using Databricks, Azure ML, Kubernetes, Python, Airflow, Observability, and Monitoring using traditional techniques. Built a user-friendly Data & ML System to improve the overall FinTech function (ZTech) in AB InBev.Helped improve Credit Models by building scalable ML systems using state-of-the-art technology on Azure Cloud. Improved models using a spectrum of different tools and techniques namely MLFlow, HPO, AutoML, Distributed Training, Model Registry, ML Pipelines, Observability & Monitoring, Model Testing, and Serving & Integration using APIs/Microservices

Lead ML & Data Engineer responsible for creating core capabilities and helping customers succeed in their journey of Advanced Analytical, ML Engineering/MLOps, Data Engineering, and Data Sciences. An accomplished Apprentice Leader focused on helping customers build their Data & ML Products - * Co-Founder of ML & Data Engineering practice, with a clear focus and vision on strengthening the ML & Data Platform capabilities in addition to building tech muscle in the org. * Designed and implemented a Predictive Maintenance Tool and Dashboarding MVP using Streaming Data Pipelines & Log Analytics (MVP) to implement collective log collection on Industrial IoT systems leveraging temperature sensors, production application systems, raspberry pi, and image recognition using state-of-the-art R&D labs ecosystem.* Risk Score Analysis to identify the default customers and early detection of frauds using ML & Analytical Capabilities.* Optimized Campaign Management & Offers Dashboard for an esteemed telecom client using Kafka, Pyspark, Kinesis, DynamoDB, Cassandra, and a Django Web App.* Developed an Anomaly Detection MVP module for a CPG client using regression methods.* Spearheaded Data & ML Platform capabilities with relevant Data Management and Quality Controls for a Pharma Client. This helped the clients to access a single cockpit on PBI for all of their data quality issues.* Data migration from on-prem and legacy systems to Data Lake using Hadoop stack (Sqoop, HDFS, Kafka, Spark, Hive, HBase, Cassandra, etc.)* Creating Lambda & Kappa pipelines on-premise & on cloud platforms including DQM Framework, Orchestration, and CICD for Data/ML Platforms.* Strategy formation and roadmaps for fulfillment and client excellence in delivery teams with customer experience, value & delight as the key goals.

* Created ETL workflows using Talend and ODI to load data into the Teradata tables* Created normalized views for end-user reporting and dashboarding in Tableau* Created scripts for automated data validation and correctness for multiple stages in pipelines using python* Increased the project efficiency and data accuracy by ~20% using automated data quality checks * Incremental Data Migration from Teradata to Hadoop* Integrated Reporting System using Teradata, Hadoop & Power BI* Created automated data quality checks, Quality reports generation, User-specific alert system using python and shell scripting* Enhanced query-based reporting framework and scripts using Impala* Created Data migration and transformation workflows using Informatica PC & Sqoop* Created Data models and deployed tables in Hive from the migration purpose * Optimized data migration process for historical and incremental data migration to HDFS

* Developed core capabilities in the space of ETL, DI, BI, and Analytics* Delighted clients from various global regions with impactful and timely deliveries* Helped clients solve various problems in the domain of finances and retail and helped them achieve an increased success rate of ~10%* Helped the team grow by 30% in the ETL & BI space which impacted the revenues by 10% * Requirements Gathering, Gap Analysis, Impact Analysis, Design, Development, Testing, Deployment, Documentation, and Production Maintenance for numerous applications* Data Integration/ETL from multiple disparate sources (like SAP, Flat Files, Supply Chain Systems, Logistics, Sales, Oracle, etc.) using Informatica, Storm, SAP BODS, Teradata, Oracle, SQL, Shell Scripting, and Python* BI Reporting - created analytical cubes for user reporting in Hyperion Essbase. Developed various e2e reports for finance and retail users* Dashboarding - created dashboards and visualizations in Tableau to help in data-driven decision making* Data and Application Migrations - lead the migration and up-gradation for Teradata, Hyperion Essbase, Autosys Jobs, Git, Jenkins* Developed Automation Scripts and CICD pipelines using Jenkins, Github, Autosys, Shell Scripting, Python, Oozie* Enhanced in-house developed custom ETL frameworks, tools, and dashboards* Data Quality & Reporting setup for ETL and BI applications* Programmed proactive alerts for any quality issues leading to missing critical SLAs* Created automated replication load processes to load data into multiple datacentres using in-house frameworks and support* Worked on Data Migration from Teradata to Hadoop using Sqoop and Hive for Research & Capability Development purposes* Provided DR support and failover consistency