Leading a project where we’re working on various dimensions of Natural Language Processing . Like, -Assessing the quality of Textual data using Transformer based Deep Learning Models. -Generate textual data using the power of Large Language Models(LLM) like Llama2 -Finding Similarities between text data using various Machine Learning tools.2. Transformer Based BERT/ DistilBERT/ RoBERTa for developing a Question - Answer Based Deep Learning Model

• Worked end to end from identifying the business case, closely working with business users, designing a solution, prototyping to actual deployment.• Identify opportunities where predictive analytics can enhance and accelerate decision-making, create, and execute the plan using predictive analytics to answer the business question.• Developing Interfaces to gather data from various sources like PI systems, Manufacturing Execution systems, ERP systems.• Writing Python codes, SQL queries and employ statistical methods, machine learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. • Exploratory Data Analysis (EDA), Feature Engineering, Data Preprocessing, Scaling, Plotting in Jupyter Notebook and presenting recommendations to business. • Training and Developing various Machine Learning Regression, Classification, Time-series models and evaluate Model performance based on scoring process (like R-Squared, Confusion Matrix, Recall, Precision etc.)• Creating a Model Pipeline using the best final model and work with different functional teams to productionize models using Flask on-premises and monitor outcomes.• Develop processes and tools to monitor and analyze model performance and data accuracy after deployment

• As a Team lead, I’ve to analyze and understand various Business process gaps that involves lot of manual efforts and develop solutions to automate them to achieve Smart Manufacturing process.• Worked with my Offshore team to develop, test and deliver various solutions in Sales, Manufacturing and Report Conversion process.• Used Python to mainly automate the processes and coupled with Manufacturing system, SQL, and ERP.• Developed automatic Sales Quotation process integrating web Apps, python processor, SQL data population and using APIs to create Quotes in ERP. It reduced 80% manual effort.• Automated the process of Purchase Order to Sales Order verification using PyPDF2 reader.• Developed Shell scripts with Python codes embedded within it. Then used Cronjobs to automate several manual activities like regular Log monitoring and sending automated emails.• Build a document translator app that integrates with Google translator using Googletrans.Translator to convert lot of artifacts written in Chinese to English.

• Work closely with Business users to perform fit gap analysis in Oracle ERP systems.• Create functional and technical design documents• Developed SQL and PL/SQL based programs to create / customize various solutions including Interfaces, Conversions, and Extensions.• Developed Custom Forms, Reports, Discoverer Reports and Workflows.• Developed OAF screens using Java.• Unit testing and Functional testing of all components and creating TE020 documents.• Conducted user training workshops and handled UAT and Post Go-Live support.• Provide L1 production support for Oracle apps Order Management, Pricing, Warehouse Management, Shipping, Inventory, Manufacturing, Work in Process, Quality and Account Receivables.• Work with Offshore team to ensure continuous and on time deliveries.