● I am responsible for analyzing large datasets in the financial segment of Manage Care industry,

● Collaborate effectively with cross-functional teams and stakeholders to follow SDLC, Agile methodologies in project execution.● Use packages like ggplot2 in R Studio for data visualization and generated scatter plots and high-low graph to identify relations between different variables.● Create interactive Tableau dashboards that provided real-time insights to stakeholders, resulting in 20% faster decision-making.● Perform Data Validation to ensure Data quality, completeness, and correctness by working with business partners using MS Excel.● Utilizing StatsModels to develop time series forecasting models, achieving an average accuracy of 95% in predicting sales trends, enabling data-driven decision-making for inventory management.● Led the seamless migration of on-premises databases to AWS RDS, reducing data retrieval times by 40% and optimizing data storage costs by 30%.● Manage and maintain databases on AWS, SQL Server, and MongoDB ensuring data accuracy, consistency, and availability.

● Worked on Building a cloud-based health platform exclusively designed for patients to get access to all their data in one location. ● I have also worked onto setup a secure cloud-based database to store health data and setup a data cleaning workflow to load consistent data to database. ● Worked on generative AI models using deep learning such as OpenAI’s GPT-3 to answer patient’s question about health data.● Collaborated with stakeholders to ensure that models are aligned with business goals and evaluated the performance of models using metrics such as accuracy, BLEU score, and perplexity. ● Created APIs to connect FHIR data to application securely. ● The integration of GPT-3 with the database allows patients to access clinical trials and research updates about their disease.● Deployed models in production and monitored their performance.

● Worked to Improve Health Record Usability and usefulness with patient-specific clinical knowledgebase using NLP algorithms to automate and streamline medical data. ● Normalize and map biomedical concepts, procedures, and medications using specific libraries such as SNOMED, RXNORM, and LOINC, for clinical notes written by physicians to reduce around 20 hours of manual effort per week to extract relationships. ● Performed Named Entity Recognition using Spacy and Flair framework, data manipulation using Pandas, Numpy, and nltk. ● Utilize NLP-based framework cTAKES based on JAVA, to convert to structured data and apply SQL, DL, and Python for the project

● Write SQL queries to perform Data Validation and Data Integrity testing to ensure data quality.● Working with various Python IDE like PyCharm and Visual Studio Code.● Use Pandas, NumPy, SciPy, and Matplotlib in Python for developing various machine learning algorithms.● Conducted performance tuning and query optimization on AWS RDS databases, resulting in a 25% improvement in database query response times and enhancing overall data analysis efficiency.● Designed and implemented efficient data models and schemas in Snowflake, resulting in a 30% reduction in data redundancy and improved query performance.● Developed and maintained Tableau Dashboards to take monitoring and reporting time from two weeks/month to two days/month.● Used AWS services like EC2 and S3 for implementing a cloud-hosted solution for the clients.● Analyzed, documented, and reported user survey results to improve customer communication processes by 18%.● Utilized technology such as MySQL and Excel PowerPivot to query test data and customize end-user requests.● Understand Data Modelling, Data Collection, Data Cleansing, Data Warehouse, and Client/Server applications.

● Worked in HR Benefits for enterprise model in the Defined Benefits domain. Analyzing large datasets using tools like SQL, Python.● Collecting, Analyzing, and Summarizing DB metric trends. Helped in understanding trends in behavior, and to understand the impact of changes. Creating Tableau Dashboards, Performing EDA, and Identifying study population to draw samples out of them.● Strong knowledge of SDLC with experience in writing and executing setup, test cases and prod migrations. Analyze the business requirement, SRS to create and plan setup in all env. Working with cross functional and operations to complete client requests.● Completed Projects with high efficiency – Baxter Client implementation, DTCC Client implementation, Invensys Plan setup for GPI, Batch Automation using SAS for 36 clients, Handling daily reports with exclude list management for POD’s on daily basis.● Accountable for configuring the changes according to client requirements and then analyzing and debugging errors for the changes made. This work directly impacts the employee's of client, as the wealth benefits and several HR benefits can be required at any point of time, therefore requiring special attention to and seriousness for the work.● Handles benefit administration, HR and financial solutions. Creates benefit solution that helps manage cost, compliance, and risk for the client.● Involved in several complex projects with 37 ongoing clients including Rolls Royce North America, Estee Lauder, Yale University, Reynolds America and more.● Responsible for analyzing client data. Run Daily batch job reports, analyzing if there is some issue with any of the client data. Also responsible for implementing new solutions for some plan changes in the client’s requirements.● Enhanced security model setup-Implemented enhanced security model for 7 clients and managed the project without dependency.

● Creating solutions for smart home automation for a client. ● The primary purpose was to enable the HVAC system with the highest level of security available to customers on their fingertips.● We were running Python 3 on an open-source home automation platform - ‘ HOME ASSISTANT’● Completed the project ‘ NEXA-SHOWROOM’ to create a smart automation system.