Having 10+ years of experiences in in IT industry where main focus area belongs to below things: - Worked in multiple domains like Digital Banking / Telecom / Retail Ecommerce / Market Research- Worked as multiple roles like Architect / Product Manager / Business Analyst / Technical Lead / Developer / QA- Cloud: Expertise in Designing Scalable Low Cost applications with High Availability and Monitoring using AWS services like S3,EC2, Aurora, RDS, Redshift IAM, Auto Scaling Group, Elastic Load Balancer, Cloudfront, Lambda, SQS, SNS, Eventbridge, Cloudwatch- Fullstack developer/ Python Django, Flask/Java Web development, Spring- Integration: Synchronous / Asynchronous (Delayed Response and Fire & Forget) Web Service / Queuing Pattern (JMS, Topic, Kafka, GCP Pub-Sub), SOAP, REST, Microservice, SOA, Oracle Service Bus, Oracle Fusion Middleware, Oracle SOA Service, Oracle AIA, Oracle Integration Cloud, Oracle Certified- Transformation: XSLT, Xpath, Xquery- Adapter : FTP, File, DB, SAP, CRM, Salesforce, Oracle ERP, HCM, - Data Architecture: ETL (Talend) / Data analysis/ Data Integration/ SQL / AWS Redshift / Data Pipeline / Apache Airflow- Machine Learning: Preprocessing, Data Cleaning, EDA, Feature Engineering, Model Selection, Model Tuning, Feedback- NLP and Chatbot : NLTK, Spacy, AWS Comprehend, Google API, Stanford Core NLP, TfIdf, Cosine Similarity- Devops: Git/ CICD/ Jenkins/ Code Pipeline / Docker/Nomad/HCL / YAML/Terraform- OCR: Tesseract 4.0, Google API- Image Processing/ Deep Learning/ Computer Vision: OpenCV, PyTorch, Keras- Blockchain: Ethereum / Hyperledger / R3 Corda / Smart Contract (Solidity / GoLang / Java)- Jira / Agile / Epic / Feature / User Story / Task / Burn Up Charts / Burn Down Charts- Expertise in PreSales activities, Expertise in creating insightful diagrams using Powerpoint Slides, RFP activities- Functional knowledge in multiple domains like Retail, Digital Banking, Telecom, Market Research- Implemented sentiment analysis using supervised learning using audio signal processing and MFCC feature - Data Science: Successfully managed Data Science and Data Engineering team and delivered multiple predictive and classification models in production server and optimized through different phases of Data Collections , Data Preparation, , Feature Engineering, EDA, Model selection, Model Train, Model Evaluate, Model Deployment in Production, Model Tuning through Feedback Loop
Listed skills include Core Java, Pl/Sql, Soa, Java Enterprise Edition, and 46 others.