Tenzin Choeden

1. Led the Customer Onboarding and Early-Life Growth Team, overseeing the creation of accounts and transactions for approximately 500 million customers annually across both App and Web platforms 2. Collaborated extensively with Product and Engineering teams to craft strategic roadmaps, aligning business objectives with key performance indicators (KPIs) to enhance overall performance metrics. 3. Designed and evaluated multiple A/B tests across Website, Native App, and Partner channels, conducting deep-dive analyses that optimized the funnel and delivered ~1M annual new customer activations 4. Spearheaded Reboarding Initiatives that generated an annualized incremental value of millions in dollar through ~20% increase in customer re-engagement rates 5. Developed and deployed dashboards for tracking experiments and OKR performance, cutting manual reporting by 30% and facilitating weekly, data-driven decision-making for the Senior Leadership Team.>

• Fulfill various data demands: acquiring data, data analysis, data visualization and etc. • Collaborated with a client, from Riley Hospital for Children, in creating visualizations for their research paper - Paper Link: https://journals.lww.com/pccmjournal/Abstract/9000/Progression_of_Respiratory_Support_Following.97952.aspx

• Course: Introduction to Natural Language Processing (FA19-BL-INFO-I590-36833) • Evaluate and grade examinations, assignments, or papers and record grades • Schedule and maintain regular office hours to meet with students to discuss errors or problems with assignments

• Helped multinational retail corporation in improving their pick-up service through data driven decisions • Generating weekly reports consisting of customer’s satisfaction and experience metrics • Handling Ad-hoc data pull and analysis requests

• Worked with world’s leading professional network company in fulfillment of various data analysis • Built a unified metric pipeline by pulling data from HDFS and pushing it to required platform for consumption and analysis • Completed intensive 2-month training in various skills related to data science with mock projects

Course work: Machine Learning, Applied Machine Learning, Deep Learning Systems, Advance Natural Language Processing, Machine learning for Signal Processing, Bayesian Theory and Analysis, Information Visualization, Management Access and Use of Big Data, Data Science On Ramp(Scala, Spark, Hadoop), Introduction to Statistics, Elements of AI.

Course Work: Introduction to Artificial Intelligence, Analysis and Design of Algorithm, Database Concepts, Distributed System and Cloud Computing, Natural Language Processing, Theory of Computation, Data Warehousing and Mining, Computer Networks, Engineering Mathematics