Hitarth Patel

Product Owner leading a team of Software Engineers and Data analysts to deliver centralized data architecture projects, optimizing data utilization across multiple teams and driving cost-effective solutions. • Successfully delivered sustainable data pipelines for handling financial and customer information • Played a pivotal role in driving adoption of new technologies by onboarding model features to a new platform. • Instrumental in remediating critical data issues and revamping data pipelines to ensure data consistency and reliability. • Led the transition of wire transaction data to adhere to ISO20022 standards, facilitating global information sharing and improving reliability of AML models. • Automated data comparison analysis for identifying gaps between the old and new data ETL pipelines making process reliable and time efficient • Spearheaded feature engineering initiatives for machine learning models, significantly enhancing suspicious activity detection. • Delivered complex features to enhance Peer to Peer transaction ML model using ZELLE transaction network improving model Accuracy by ~15 • Optimized data extraction for model data to increase the computational efficiency by 90% and saving platform cost by 85%

• Work with Global Logistics team to enhance and maintain shipment booking system • Create dashboards to enable better tracking of shipments across lanes and display extensive information in a brief manner for the leadership team to view • Support Manufacturing team with update and upkeep of Skyland PIMS and provide them with a Power BI report to track Batch Data entry and approvals • Work with cross functional teams to gauge their requirements in terms of data visualization and process automation and help them establish solutions • Promote use of Power Platform across the organization and setup CoP and CoE to encourage upskilling and sharing of best practices

- Develop interactive and informative Power BI reports for tracking of key performance indicators - Create user friendly apps for efficient data entry in Power Apps and deploy RPAs using Power Automate - Deploy ETL jobs to capture, clear and maintain data from variety of sources and perform data analysis to highlight key features of the dataset to the stakeholders

Support CPV Program: - Oversee Data Management program for production campaign - Develop Data entry setups for capturing valuable data and aggregating data from multiple sources (M-ERP, Batch Records, Offline Samples, Online Delta V data, etc.) to use in process monitoring - Perform CPV (Continued Process Verification) trending and data preparation on daily basis to provide updated information to the team - Perform adhoc statistical analysis as per stakeholders' requests to assist in decision making Digital and Data Analytics: Contribute towards digital transformation of the site by; - Imparting training to employees across site on Power BI, Power Apps, etc. - Develop KPI Metrics for performance management - Creating reports and dashboard in Power BI and other data visualization tools to generate real time graphics - Creating mobile and desktop applications using Power Apps and Microsoft Automate to automate routine tasks and solve technological gaps in achieving efficiency - Managing Touch Screen Installation on production floors to make it easy for Manufacturing teams to obtain data and perform certain tasks.

- Performed a gap analysis to identify shortcomings of the current system capabilities - Analysed data from PI data historian using SQL - Developed Tableau dashboard to visualize Fill-Line Capabilites with real time tracking of OEEs (Operational Efficiencies of Equipments) - Provided recommendation on optimizing the vial filling process

Assist with Biopharm process data management Oversee Continued Process Verification (CPV) and Statistical Process Control Design and maintain data entry setups and assist other departments with the usage of the database Perform data aggregation and manipulation to generate SPC charts, Chromatograms and other graphical reports Manage regular backup of data and maintain regular data reports on SharePoint Visualize process data and develop interactive Dashboards to represent data in a more meaningful manner

-Performed aggregation and analysis of the historical customer service data for EMEA region using SAS, SQL and Excel -Developed Neural Networks and Random Forest Classifier algorithms to predict the likelihood of the optimal service action with an accuracy of 85% -Developed a tool (data application) in MS Access to assist faster data retrieval estimating best action based on the prediction model generated to optimize customer service process

Product Innovation – New construction of water pumping windmill with reduced number of blades made from FRP (Fiber Reinforced Plastic) was introduced to reduce the bulkiness of the equipment and make it energy and cost efficient Prototype- A working model of the setup was installed at the site under supervision of the company for recording data and testing of the equipment. Data Analysis – Mathematical representation and theoretical calculations were performed on the recorded data of water flow at given wind speed on a given day. Also, the experiment was carried out in various conditions for testing its overall performance. Team management – Led a team of three during product planning and prototyping.

Python Programming, Exploratory Data Analysis, Univariate/Bi-Variate Analysis, Regression, Machine Learning, Deep learning, kNN Tensor Flow, Recommendation Systems