Harshita Patil

*Product Research & AI Strategy* Pursued a focused initiative to explore opportunities at the intersection of AI, skincare, and digital product development, combining technical expertise with domain knowledge to validate a startup concept in the skincare-tech space. Performed competitive analysis on 10+ platforms, mapping feature gaps to real user needs. Defined top three opportunity areas and created a problem–solution fit framework to guide MVP direction.

Launched a small skincare service business to gather real-world user feedback, serving 40+ clients to understand customer side of pain points. Created a go-to-market(GTM) strategy for emerging estheticians to accelerate business setup and drive predictable monthly sales performance. Applied market validation techniques through pilot services, testing pricing and adoption models. Identified a clear market gap and defined a validated product concept with real user data. Led day-to-day business operations, optimizing onboarding, scheduling, and service workflows

Completed accredited esthetics training to gain deep understanding of skin physiology, consultation workflows, and treatment protocols. Shadowed estheticians to observe real client consultations, extracting process flow diagrams and data capture points that later informed product architecture. Identified 5+ high-friction steps in consultation processes that could be automated or digitized.

Design and build end-to-end data system to onboard global contract and pricing data from SQL server to Enterprise data lake using Databricks Platform. Design and develop subsystems ranging from staging the data, real-time batch job notification system, Schedule Batch Jobs for data load. Migration of legacy web application serving multiple business functions in Global ERP space to AWS Cloud. Lead Master Data Management effort ensuring data quality & data governance of Global ERP data by building data quality reports, Quality dimension dashboards in Material/Vendor/Customer Master

• Design, develop data pipelines to Extract, Transform, and Load on-premise DBs to the AWS S3 using Databricks Unified Platform, PySpark, and Spark APIs. • Established data infrastructure, build data store using Databricks – a cloud data platform. • Experience to collect business requirements, formulating metrics to develop data solutions to perform data management. • Configure scheduler for data pipelines on Airflow using Python scripts to Orchestrate the Data Import jobs. • Developed APIs using Python libraries to integrate application systems. • Developed Rest/SOAP Webservices that perform data operations on Neuroscience/Assay Metadata. • Enhanced PLSQL procedures to add new features to extract data from Oracle Db and trigger Email Notifications.

• UAT, data migration project for High through put Biologics Oracle to Enterprise Data Lake. • Webservice development to enhance reporting features of Research Gateway using technologies like SOAP APIs and UDDI. • Developed Spring boot applications, automates data integration from multiple mdb files and captures the data in MySQL • Configure Data Infrastructure for Data capture on AWS, Enterprise Data Lake, Databricks at Enterprise level.

Designed a product for vector solutions and responsible for end to end implementation of their innovation idea • Data modeling of user learning experience data in JSON format according to xAPI standards. • Data ingestion of user activity data into learning record store using REST API- Postman. • Big Data Analysis on LRS to build Analytical models to identify the success and failure rate of a user. • Dashboard building through inbuilt visualization capabilities of Learning Locker. • Analytics on Mongo DB data using Power BI to increase the course renewal/registering rate of users.

Programmer Analyst – Java/SQL developer (2014-2015) Project #1 Gathered user requirements and worked on data mapping in citation formulation of documents in MySQL database and the development of backend implementation in Java/J2EE. • Search engine implementation for Lawmakers worked in code migration in -Java Technology. • Developed an application to load unstructured data into Mark Logic Database and port Test cases. • Implemented Regex to filter out documents which are formulated well. • Developed dynamic JSP pages with Struts. • Employed built-in/custom interceptors, and validators of Struts. • Developed the XML data object to generate the PDF documents, and reports. • Employed Hibernate, DAO, and JDBC for data retrieval and medications from a database • Extract particular-section of a webpage or PDF (text-based) based on generic configurable rules. • Worked on performance tuning of PL/SQL statements and querying to improve retrieval rate of data. • Developed database triggers and procedures to initiate real-time data encryption on SQL developer. • Trained junior members of the team in data management (MySQL, Oracle, SQL Developer). Big data Developer – Hive SQL (2015-2016) Project #2 Worked from scratch in setting up Big Data platform for a client to process their huge data lakes Implemented Hadoop Clusters for storing and analyzing the Toyota’s customer data. • Data analysis and processing using Hive queries. Also, developed multiple MapReduce jobs in Java. • Data Exportation from MySQL to HDFS using Sqoop and data analytics using HIVE. • Developed Oozie scheduler workflows and Coordinators to automate the business process. • Worked in Spark to read the data from Hive and write it to Cassandra using Java. • Implemented the data backup strategies for the data in the Cassandra cluster and performed ETL design to dump MR data cubes to Cassandra cluster.