Jake W. Email & Phone Number

San Diego, CA, US

• Developed and deployed a deep-learning algorithm to detect brands and logos on menus in order to identify financial opportunities in chargeback dollars. Implemented over 100 different classes with an average precision.
• Designed and implemented a scalable data pipeline on Azure Data Factory, leveraging APIs endpoints and Blob and SQL storage, allowing for real-time analysis on customer service data.
• Integrated OpenAI's language models to analyze chat data and generate comprehensive customer profiles. Enhanced personalization in marketing strategies by utilizing natural language processing techniques.
• Built a system to automatically generate product descriptions from PDF catalogs using NLP techniques and OpenAI. Streamlined content creation processes to ensure consistency and creativity for product descriptions.
• Applied advanced statistical methods and machine-learning models to derive actionable insights from complex datasets. Developed and recommended strategies to marketing and product teams based on data analysis.
• Implemented best practices in data engineering and machine learning, including code reviews and continuous integration/continuous deployment (CI/CD) pipelines. Ensured robustness and scalability of data solutions.

Remote

• Partnered with AWS Professional Services to develop an application for extracting aeronautical data from PDF’s leveraging Python, Amazon Textract, and AWS Lambda, transforming, and analyzing data, and delivering data.
• Generalized and clustered existing data processing code for reduced codebase and robustness, refactored data processing to reduce processing time of application to seconds
• Before our engagement the analysts were comparing new reports to the old ones by hand. The application we built was able to reduce the analyst processing time from two weeks to a minutes
• The application runs through 77 different countries, 5 AIP types for each country, and multiple pages for each AIP type.
• Followed Agile methodology (SCRUM) for developing this project, with each SPRINT lasting for 2 weeks. Involved in analysis, specification, design, and implementation and testing phases of Software Development Life.

Bengaluru Area, India

9 month training program as a Junior Associate for Mu Sigma. The program involves learning technical skills like Python, R, SQL and Power BI along with obtaining experience with Machine Learning and Data Engineering. Also learning how to apply Mu Sigma's Art of Problem Solving approach and First Principles Thinking to solving complex problems.

Alexandria Virginia

• Redeveloped the sales leads research process for India-based teams which resulted in a 10x increase in monthly revenue
• Reconcile the Total Addressable Market to SaleForce.com
• Generate interest in Fishbowl’s product and services through daily outbound calling (Consistently exceed monthly sales goals and outbound call goals)
• Manage a territory including a prospect database of Fishbowl users and potential clients
• Research prospect needs and qualify potential opportunities
• Ensure that prospects clearly understand Fishbowl’s value proposition, as well as how to maximize product use for greatest value

Master Of Science - Ms, Data Science

Economics & Statistics