Bipra Chatterjee

Background

About Bipra Chatterjee

APPLE Leader Data and AI Platform. Accredited from Wharton Chief Technology Officer Program.#Technology #Leadership #Wharton #ExecutiveEducation #WhartonCTO Leaded teams to manage and build big data platforms using emerging technologies that powers PB scale Analytic Solutions, Machine Learning, Reports and Dashboards. Specialize in implementation of Generative AI, LLM, RAG, Vector Database Search, Langchain, Indexes, Benchmark with Redis, PgVector, Milvus, Weaviate, Qdrant, Streamlit etc. Lead corporate strategy for zero day patching, SSL, VPN, Kerberos, JDK+ upgrade, OS Upgrades, PCI data, PII data, CVE issues and vulnerabilities, and Pull the network plug use cases. Large Change Data Capture/ Audit scenarios using column family Databases (for ex. AWS Dynamodb, GCP Bigtable, Singlestore, and CDP Hbase) Promote different tools aligning with Business Groups, Vice Presidents. Prepare Strategy for building pipelines with regards to AI, analytics and visualization use cases (for ex. Apache Superset, Airflow, Apache Iceberg, Ray, zeppelin, Spark, Jupyterhub, and AWS EKS) As Oracle Director in different roles as below: Extensive experience in managing complex data for use in aggregation and predictive analysis. Analyze and discover patterns for Inventory and Manufacturing Data. Build and Design Large Scale Big Data Integrated Platforms/ Data life cycle using Hadoop Map / Reduce/ Hive/ Pig. Managed several projects for Oracle ERP Cloud with J2ee technology / Jdeveloper / ADF BC4J / ADF Faces/ Java/ Dreamweaver. Assisting developers in guidance for Scrum Story, Sprint Planning, use cases, patterns, object modeling, Scoping, class diagrams. Lead Teams to design and architect Oracle Fusion v1 Apps using Oracle ADF, SOA,BPEL, BPM Pl/sql, sql, java. Lead customer Implementation to Upgrade, Deploy Oracle Applications in the Manufacturing, Supply Chain Logistics, Order Management, Bill of Material, Warehouse Management Systems, Inventory, Purchasing modules. Extensive experience in defining Processes for CRP / Operational and Support Procedures / QA Hand-offs /Migration Road-maps / Final Design Approval. Design/Architect/Administer Htable / Column Family/ Qualifiers/Row keys for Hbase Store. Expertise in data science techniques for classification, Supervised and unsupervised Learning methods, different Regression methods, K-means clustering, KNN, Decision Tree. Design/Develop strategy for migration/loading of structured/unstructured data from multiple systems into HDFS using Hive/Sqoop/Pig. Cloudera Certified Specialist in Apache Hadoop and HBase.