Oct 2021 – Dec 2022 · 1 yr 2 mos · New York City Metropolitan Area

May 2021 – Oct 2021 · 5 mos · New York City Metropolitan Area

• 1. Building end-to-end data platform to move structured and unstructured data from multiple on-prem source systems to
• Azure Cloud using PySpark, Python and SQL to enable analytics and BI capabilities
• 2. Designed and developing enterprise-grade data ingestion framework in PySpark to enable ETL process on policy
• administration system data sources
• 3. Working with architects and product owners to decompose work into smaller software components and proving out
• design concepts
• 4. Worked with architects and product owners to decompose work into smaller software components and proving out design concepts
• 5. Creating end-to-end technology prototypes for a given business use case or application
• 6. Demonstrating success in rapid prototyping, using agile approaches to quickly test new ideas and “fail fast”

Jul 2019 – May 2021 · 1 yr 10 mos · Greater New York City Area

• 1. Designing solutions to implement and test data-centric software solutions in a cloud environment
• 2. Applying a business framing to emerging technology solutions and communicate to business audiences in written and
• verbal formats
• 3. Created automated big data pipelines in Azure Data Factory to extract, transform and load data into Azure Data Lake
• using Azure Databricks (Python and PySpark) and SQL
• 4. Collaborating and communicating with engineers, data scientists and analysts to optimize data flows, tools, operational
• costs and reporting infrastructures
• 5. Utilized advanced capabilities of Azure Databricks to pre-process data and turn it into meaningful format for data
• transformations.
• 6. Developed Tableau dashboard for Claims team mapping claims to issued policies to be used in presentations for senior
• leadership
• 7. Deployed and managed code using IBM UrbanCode and GIT version control system

Sep 2018 – May 2019 · 8 mos · Tampa/St. Petersburg, Florida Area

• 1. Worked cross-functionally with stakeholders across the facility to understanding how data can best be collected and utilized to make informed decisions
• 2. Collected data from multiple EMR/ EHR data sources including treatment vitals, monthly labs, and free-text clinical notes and pre-processed it using Python and SQL
• 3. Designed and created data models for both star schema and relational databases that are optimal for reporting and analytics
• 4. Performed statistical modeling on data and identified abnormities impacting the statistical inference
• 5. Created actionable reports using Tableau that presented key performance indicators and identified valuable patterns and trends in patient treatment
• 6. Created reports in SAS highlighting key risks of billing accounts that reduced financial loss by 25%
• 7. Created multiple machine learning models to determine modifiable factors that can delay Chronic Kidney Disease Progression

May 2018 – Aug 2018 · 3 mos · Sunnyvale, California

• 1. Created machine learning models using Python to predict test station health resulting in increased productivity by 20%
• 2. Performed statistical analysis of data to improve current manufacturing process efficiency by 5%
• 3. Created Tableau dashboards to visualize testing data from SQL data warehouse and published it to Tableau Server
• 4. Performed POC on Vertica database to appraise performance, scalability, efficiency and cost against SQL warehouse
• 5. Coordinated with Product Engineering team to integrate new functionalities as per ad-hoc business requirements
• 6. Optimized charts, connections and data source queries that improved performance of the dashboards by 15%

Aug 2017 – May 2018 · 9 mos · Tampa/St. Petersburg, Florida Area

• 1. Engineered development of analytical dashboards for reviewing student performance to provide actionable insights
• 2. Analyzed student submissions to quantify instructor commentary resulting in an increase of student grades by 40%
• 3. Developed analytical dashboards for students, instructors, and program administrators
• 4. Developed RESTful Web API in .NET MVC, Entity Framework and MS SQL using Domain Driven Design(DDD)
• 5 Undertook research modules that analyzed student retention rates in various universities

Apr 2016 – Jun 2017 · 1 yr 2 mos

• Insurance Policy administration system
• Extracted, explored and modelled user Claims data of 1.2 million records using R for a US Insurance provider
• Performed data cleansing and statistical modelling in R, and identified abnormities in data impacting the statistical inference
• Built Tableau dashboards for claims history and claims satisfaction that improved decision making by 20%
• Served as SME and advised clients on ETL, data warehouse development and managed a team of 3 developers
• Performed ETL on 2 million records and migrated it from DB2 to MS SQL Server using SSIS

Jun 2013 – Mar 2016 · 2 yrs 9 mos

• Designed dashboards for internal time tracking and improved project performance and efficiency by 15%
• Analyzed and translated business needs into technical and functional specifications for a tool to align insurance policy administrators
• Development of T-SQL queries, stored procedures & triggers to integrate the SQL database
• Developed web application using .Net MVC framework where business users can manage claims and policies taken by Credit Union members.
• Decreased the defect rate to zero on two projects by identifying requirement gaps in early stages of project delivery.
• Mentored new associates for Quality Assurance practices and Agile Methodology (Scrum).