One notable accomplishment in my recent role as Director of Data Product at Logicsource, Inc. was leveraging AI for efficient research and programming, resulting in substantial time savings. Prior to that, in my role as Associate Director of Product Management at Wonder, I transformed the organizational structure to foster a user-centered design culture, leading to enhanced communication and product development. Throughout my career, I have demonstrated an ability to define success criteria and lead cross-functional teams in the integration of new software solutions. But, what sets me apart is my proficiency in data analytics and technical acumen. I excel in analysis using Python, and am skilled in data visualization. My expertise in SQL, along with proficiency in tools like Jira, VSCode and Confluence, positions me to effectively lead cross-functional efforts and drive product enhancements and data analytics products to market.
-Engineered algorithms with PL/SQL in an Oracle database for seamless integration of 20+ unique datasets including anonymization for monetization potential >$100k
-Utilized AI for efficient research and programming, yielding substantial time savings
-Lead teams of Python developers in automating data ingestion in Python using webscraping and developing string matching for data validation using mathematical models
-Negotiated up to 30% price reductions with data vendors
-Led change management moving from a federated product team to a centralized one
-Directly managed and mentored a diverse team product managers driving efficiency and reducing manufacturing costs
-Streamlined agile backlog, cutting consulting costs by 75%
-Built wireframes in Figma for inventory retrieval software
-Created product roadmaps in Jira and documentation in Confluence for communication with stakeholders and C-level leaders
-Worked with the Data Science team on data preparation and ingestion for training and validating machine learning models
-Hired, trained and managed a team of analysts and engineers to uncover insights while improving quality and accuracy in customer data
-Mentored entry level associates to learn a data driven mindset and SQL basics
-Created and maintained metadata in Alation for data governance to improve data literacy for stakeholders and engineers
-Identified gaps in Tableau reporting and cereated a self service data mart with SQL Server and Excel which saved a dozen hours daily for sales teams
-Utilized VBA to automate financial reporting in Excel and Power Point to save dozens of hours each month
-Implemented DQS in SQL Server to track data quality, enrichment and standardization
-Defined data structures and pipelines for supply chain products within Snowflake
-Built a self service data mart in SQL Server to empower inventory control teams to measure and meet KPIs
-Designed and rolled out operations dashboards for real-time access to facility performance data across the country
-Created an iterative ARIMA forecast model to reduce overbuying with a demonstrated accuracy over 90%