• Developed an advanced conversational AI application, empowering business users to execute tasks directly through natural conversation. By leveraging state-of-the-art tools, the solution reduced reliance on technical support, streamlined processes, and significantly boosted operational efficiency.• Designed a conversational chatbot that empowers users to initiate complex simulations using natural language, eliminating manual inputs and simplifying the process. Leveraged advanced language models with unified memory integration to interpret user intent accurately, bridging the gap between technical complexity and user accessibility for a streamlined experience.• Vertically integrated federated learning models to train a shared machine learning model with multiple parties and business units, without sharing raw data. Resulting in creating a clean room platform for lift study in MMM (Market Mix Models) by protecting privacy of individuals and data security.• State-of-the-art Neural Network Models to identify and extract PII’s from unstructured data.• Utilizing the trust rank algorithm to assess the quality of data provided by various providers and determine the relative quality of each.

• Leveraging data analytics to uncover deep insights and patterns within complex datasets. Market research to identify potential areas for a new product.• Identifying different data that pertains to the same individual or entity, and then linking that data together to create a complete and accurate picture of individual entity.• Identity resolution systems use canonical scores to improve accuracy and reduce false positives in matches. Optimized canonical scoring algorithms to enhance identity matching capabilities in the identity resolution platform.• Collecting and storing customer identity data to create a single, unified view of each customer. Achieved through Design and Develop a product that allow businesses to collect, manage, and analyse customer identity data in a centralized location.• Conducting extensive research and analysis to identify and overcome existing roadblocks and challenges in the market, and creating innovative solutions to meet business requirements.• Develop and deliver a fully functional prototype of the product while ensuring seamless implementation by working closely with the engineering team.

• Streamlining the requirements by analyzing the data needs and preparing requirement documents.• Coordination with clients/end users for business requirement clarification and to provide business solution.• Interact cross-functionally with a wide variety of people and teams. • Preparation of Design Document and Feature description document.• Develop comprehensive POCs covering structures, products, and metrics for achieving long term data science goals. • Develop subject-matter expertise with domains we work on.• Be a trusted partner to the engineering team and enable them to use and integrate analytics with both product and experimental platforms.• Collaborate closely with product management to define and prioritize the technical vision of the product.• Work closely with analysts and data engineers to identify opportunities and product improvements.• Enable analytics by building robust data sets that can power various ML techniques like regression, classification, clustering etc. • Tuning the model using hyper parameter and validating it using cross validation technique.

Design Document (TDD/EBR), test cases and test logs.• Coordination with clients/end users on business requirements, hosting meetings to discuss business impacts and to provide business solution. Providing Estimations based on requirements and translate requirements into a technical solution.• Development of new parallel and sequencer jobs.• Enhancement of existing jobs.• Analyze data to Optimize, Tune and Standardize existing jobs.• Performance tuning of various long running jobs to bring down runtime which leads to a commendable change.• Building Queries using SQL Server/Oracle as database engine, as per the Client specifications.• Unit testing, tracking and fixing defects.• Delivering solutions in accordance with Organization quality control standards, business practices and procedures.• Managing delivery of code to QA, UAT, Production and provide support to end users. • Connecting all environments together and generating Dashboard for the environment wise job Status using Tableau.• Training and mentoring of new resources.