Dynamic customer focused leader and mentor. Currently a Director level with expertise in data mining, machine learning, data visualization and storytelling, meta data pre-processing, predictive modeling, Ai platform and applications development.
VP Data Science and AI
Accomplishments and Career Highlights
Built and led teams of data scientists and data engineers. Portfolio growth with account retention rate is 99%. More than 80% customers referred us to other customers. Increase in Product Adoption by 70%. Lower number of Support Tickets by 60% Have increased customer database by 70% and Sales by 55%. Cost Savings – saved saved budget to build data center by 40% . Improved Customer Health Mix and Product Stickiness.
P&L, Budgets, or Sales Performance
Has managed multi-million-dollar (up to $2.5m) budgets to build data centers and drafted million dollars strategies of software and data science services sales.
Skills, Experience, Depth of External Relationships
Communication and Negotiation expert, Problem Solver and Communication Bridge builder, Relational Customer Success and Empowerment Engineer: An excellent listener and empower-enabler to customer (Excellent Customer Feedback); build tangible strategies and road maps for customer success. Lead Applied Engineering and Science research and projects. Have presented research papers and speaker for data science panels at conferences, conferences, workshops, colloquiums
Education and Certifications
Bachelor, Masters and PhD in Computer Science. Major: Software Engineering, Computer Networks, Data Science, Data Mining and Machine learning Minor in Mathematics. Certifications: Cisco, RPA, Java.
Type of Opportunity Open to:
Medical devices, entertainment services, FinTech, RPA, Ideal for high growth mid market or large company. Based on current and prior leadership roles where have managed 15 in team of data scientists, data engineers, project managers, network architects, security engineers, cloud computing. High performing leader with proven success in the design of machine learning and providing cost effective AI business solutions based on the analysis of large data sets. Experienced in data science consulting and providing leadership.
Current Location and Preferences
DC, open to Seattle, any CA, NY, Boston
Base + bonus annual $400k