Assel Li Email and Phone Number

Managed 4 product areas, led user interviews, defined strategy and roadmap, groomed backlog, initiated product metrics tracking and set up dashboards, user journeys, funnels for:- Remediation workflow- External Vulnerability Scanning- Vulnerability Management Plans- Search, analytics, dashboards, and reporting capabilitiesOperational areas led:- Product quality: defined product and business metrics & goals that were monitored and reported on quarterly account reviews, facilitated creation of training and support materials for both internal and external stakeholders to improve perceived product quality and NPS - Customer support: analysis and reporting of churn drivers, escalations, prioritized list of product improvements, investment cases support, managing growing customer based and double amount of support tickets with twice less interrupt work and escalations to engineering

Managed 2 verticals:- Scoring: core platform product offering that delivers Cyber security score of the 12M+ companies based on Threat Intelligence feeds & Data Science methodologies with a mission to make the World a Safer Place. - Attack Surface Intelligence: ASI is enabling Threat Researchers/Hunters to search over SecurityScorecard's data lake that analyzes billions of sources to provide deep threat intelligence and visibility into any IP, network, domain, or vendor’s attack surface risk, from a single pane of glass. On day-to-day basis:- Work as a conduit between Executives, Business, Customer Facing Teams, Product, Engineering, and R&D to deliver solutions that increase Customer and Business Value.- Specify business and technical requirements based on User Research and estimate with the team roadmap timelines and scope of work for next sprints.- Continuously perform market research and understand competitive landscape to be on top of cybersecurity trends. Use this knowledge to define product roadmap and development cycles.

Managed 3 verticals:• Data Science Initiatives - bringing data-driven solutions to customers using Cloud native Data Analytics Platform;• ScratchPads - cloud-based notebook environment integrated with data fabric;• TimeEngine - multidimensional database and analytics engine for ingesting, storing, and modeling time series data.Delivered following product artifacts:• Product vision• Product goals along with Success Metrics• Product roadmap• User personas• User Journeys• Use cases• Prioritized Product Backlog• Shaped Product wireframes / designs• Product release plan and release notes• Approval of I-ATO/ATO from the board• Agile best practices in 2 squads with utilization of Scrum/Kanban/Story boards, Jira, SmartSheets, Lucidchart, GSuite, Office365, ProductBoard, Confluence, Gitlab

Product Team: fostering business changes fueled by data, for ex.• Pricing for daily operations and RFPs• Dispatch optimization• User segmentation/churn/retention/reactivation • Trip routing algorithm• Driver/Rider app UI from product perspective• Payments/billing logic• Automated marketing campaigns• Automated business reporting in Tableau

IT Advisory, Management Consulting• Technical proposal writing and slide deck preparation for prospects• Telegram bot design and development for processes automation• Data enrichment and processing for tender analytics• IT audits and Journal Entry Testing (JET) automation with Python

Online Business Department• Managed 17 Oracle DB procedures and jobs for further customer and transactional data analysis, and budget forecasts• Created and automated 5 daily reports with dashboards in Power BI and Excel for executives to quantify business value• Helped to define and keep track of metrics post-release of new mobile app versions, online credit applications, and mobile banking

C2SMART (Connected cities with Smart Transportation) Tier 1 University Transportation CenterSupervisor: Professor Jack Bringardner• Managed 28 undergraduate students of Smart City Technologies teams at Tandon School of Engineering• Initiated and supported digital presence and outreach by hosting web-page and managing SM platforms• Administered 3 projects for workforce development and educational initiatives

Behavioral Urban Informatics, Logistics and Transport (BUILT@NYU) LaboratorySupervisor: Professor Joseph Y.J. ChowProject: City-scalable Destination Recommender System for On-demand Senior Mobility• Obtained IRB approval, conducted in-person surveys of 100+ respondents, analyzed mobility patterns• Analyzed 4GB sparse dataset to design and conduct experimental studies• Developed Destination Recommendation Engine for USDOT sponsored project

Institute of Combustion Problems, Additive Manufacturing Scientific CenterSupervisor: Professor Zulkhair MansurovProject: Novel construction 3D printer• Developed a software in C# to perform a conformal mapping applied to G-code file based on the crane- like technology of 3D printer• Used computer programming and mathematical analysis skills to efficiently model the system

Intelligent Transportation Systems (ITS) Lab, Singapore–MIT Alliance for Research and Technology (SMART) CentreSupervisors: Professor Moshe Ben-Akiva and Professor Carlos Lima AzevedoProject: Day pattern Behavioral models for an integrated Activity-Based Traffic simulator SimMobility• Completed Travel Demand Modeling course on MIT OpenCourseWare in 2 weeks• Successfully estimated Multinomial Logit and Nested logit models using R for data generic analysisand used Pythonbiogeme software for model specification and likelihood function computation• Participated in the Modeling and Simulation of Transportation networks course to broaden knowledgein Demand and User Behavior, Freight models and Testing Optimization algorithms• Gained experience in regression analysis, data preparation from GPS-based surveys and GIS, modelframework development and system design, IP tables configuration in Ubuntu

Assistant of Professor Nurlan Dairbekov, School of Mathematics and CyberneticsProject: Adaptive traffic light control using Reinforcement Learning and Neural Network techniquesTA Courses: Differential Geometry and Topology, Riemannian Geometry

Assistant of Professor Oleg Penkin, School of Mathematics and CyberneticsTA Courses: Calculus, Differential Equations