Spearheaded the development of a RAG-based knowledge retrieval chatbot for a non-profit organization, reducing members' time spent on searching for recorded lectures by over 100 hours. (LangChain/LlamaIndex/AstraDB)knowledge accessible to its members globally.

* Created an automated monthly dashboard incorporating historical data, featuring real-time product performance, client usage, production status, enabling executives to make decisions 21 days ahead each month.* Provided the CPO/CTO with a clear insight into 100+ developers' tasks, facilitating data-driven decisions and shortening executive decision timelines by 40% (Looker, JIRA, Snowflake).* Transformed the web user tracking system to provide Sales/CSM/Client Support with real-time customer insights and generate churn notifications, accelerating the notification timeline by 60 days.(Pendo/Salesforce/Gainsight).* Mentor a dozen Product Managers in implementing KPIs on a central dashboard, showcasing 90% of new product/features statuses for visibility and impactful outcomes. (Confluence, Looker, JIRA, Snowflake, Excel)* Empowered Product/Technology teams with actionable insights through processes in Jira and dashboards, leading to 4 product launches in a quarter, compared to 2 in previous quarters.* Provided strategic guidance to top executives on product performance, expense ratio, resource utilization, and contributing to shaping the company's roadmap and objectives. (Looker/Snowflake/JIRA/Confluence)

* Enhanced the data enrichment product through targeted data acquisition and tuning AI business logic, resulting in improved business entity matching accuracy by 29%.* Improved the Web De-anonymization product through identifying and prioritizing complex data ingestion and streamlined ML logic to and increased the de-anonymization rate by 37%.* Reduced the main database’s build cycle time by ⅓ through more layers of data quality check and outlier monitoring. * Implemented SCRUM process and empowered the Data Engineers to release new features by 200-300 %.* Performed in-depth data analyses on products and contributed to decisions on external data acquisition.* Oversaw vital products via SCRUM with a team of about 16 engineers. Conducted weekly Data Science/Product meetings to encourage collaborative problem-solving and boost team communication.* Championed innovative techniques with Data Engineers, such as using Spark over Hadoop to efficiently process large datasets. Also mentored Data Engineers with best practice on data quality/optimization/performance tuning.

* Directed the enhancement of the company's data enrichment and modeling platform, delivering 10-30% gains for B2B marketers who utilize our platform for lead scoring. (Hadoop, DynamoDB, Python)* Conducted thorough analysis on the efficacy of our ML modeling systems and pinpointed/rectified root causes impacting the platform, averaging 10-15% improvement.* Built an analytical platform to assess the influence of each data source in the cloud database and determine whether to expand or phase out a particular data source (Athena, Glue, S3, QuickSight).* Guided Data Engineers in robust data processing, maintaining consistent, high-quality results in frequent database builds.* Spearheaded the creation of a data lake from its inception, utilizing AWS Athena/Glue/S3, simplifying data ingestion into Hadoop and enhancing reporting in PowerBI/QuickSight/Tableau.

*Pioneered the development of a sales lead signal system from the ground up, incorporating data from web, CRM, marketing, and transaction databases, leading to a 13x surge in lead volume and $15 million in new sales.*Utilized Tensorflow and MSSQL to construct a Machine Learning model for classifying web documents with similar names, cutting down manual work by 75%.*Rolled out remote work for the entire team utilizing SCRUM and JIRA, driving a 20% productivity improvement.

* Directed 30+ ETL integrations, growing CRM database more than 20x from its original size.Increased literature fulfillment process throughput by 25x through re-engineering.* Orchestrated integration of numerous data sources to provide a unified marketing platform for clients.* Spearheaded the implementation of a SaaS solution for campaign management, introducing dashboard reporting and automating critical processes including data synchronization, auditing, and system monitoring.