Teneika Askew

US Navy

The consultant has become the client! I've returned as Product Manager and leader in the Navy's first data focused consulting division, Data and Digital Transformation. I will be bringing my entrepreneurial spirt to build, launch and direct the Data Science as a Service and Analytics Enablement portfolio of products and services.

Stack: Databricks, AWS

Product Director - Data Science & Analytics Enablement 

CompTIA

• As a CAC appointee, I provide advice and guidance to CompTIA regarding the strategic direction of the industry's leading certifications related to data science & machine learning.

• As a SME, I contribute to the development phases of CompTIA’s Data Science+ certification exam. This includes participating in Job Task Analysis (JTA) workshops, helping to identify exam domains & objectives, and assisting with item writing & review.

Data Certification Advisory Committee (CAC)

Clicked

Artificial Intelligence Coach and Marketing Consultant

Correlation One

Empowerment is a 4-5 month, high-intensity, part-time program teaching data skills through real world business cases and live, business provided or fellow researched datasets while solving AI challenges.

Introduced 7+ sponsors/partners . (OneTen, McKinsey, Hulu, Accenture, JFF, etc..) after extensive market research and talent development opportunities such as college credit.

Data Science Instructor, Head Teaching Assistant and Strategic Program Advisor

Receive Top Teaching Assistant recognition across 50 Teaching Assistants!
Provides mentorship and support for 50+ fellows across 7 projects. Rated in top 5% among Teaching Assistant by fellow reviews.
Curates custom curriculum for the Data Science for All Product, tailored specifically for Product Analytics, Tableau and professional development workshops and lectures. Provides instruction to 750+ fellows for Tableau, Algorithmic Bias and Product tracks on Saturday's.

Data Science Instructor, Teaching Assistant and Strategic Program Advisor

Partners with product, curriculum and program leaders to achieve learning objectives of 4+ programs and optimal functionality of tools/technology in the proprietary LMS, such as Grading/Attendance, Insights, Jupyter Notebooks, Workspaces, Forums, and lesson outlines/content.

Serves as a change agent, championing new and innovational customer- and industry-focused data informed products, driving inclusive and equitable data science, AI/ML education strategies across 6+ cohorts,  aligning to industry and partner talent objective and metrics.

Strategic Program Advisor

Samsung Innovation Campus

Artificial Intelligence Coach

Uplimit

Designed and instructed Visualization with Tableau 4-week course.

Analytics Coach (Tableau)

Codecademy

Senior Curriculum Developer (Product and Project Management)

SkillUp

Provided data science expertise and career prep guidance and videos for several IBM Coursera courses.

Data Science SME (IBM Coursera Courses)

Bill & Melinda Gates Foundation

Partnered with ABG to provide strategy and key recommendations for an organization wide analytics enablement, cloud deployment initiative. Delivered tailored workshops to help the organization reach a common data model supporting mission driven insights, KPIs and roadmaps to Bill and Melinda Gates funded non-profits in the South Africa region.
Tools: Microsoft 365, Azure, Power BI, Oracle

Analytics Consultant

Mozilla

Teneika developed the global People Analytics function from ideation, providing delivery of self-service analytics tools, insight-driven solutions and advisory services for Mozilla’s workforce. She specializes in applying storytelling and analytics to aid the SVP, Steering Committee, HRBPs and leadership in data driven decision-making of talent-related questions. Tools: Workday, Greenhouse, Power BI, Tableau, BigQuery, SQL, M Language, DAX, AWS Redshift, Tableau Server, CultureAmp
• Quickly developed relationship as trusted advisor to Executive Leadership team and served as Product Owner for an implementation; identified key risks in ETL processes, resulting in savings within 60 days of hire
• Designed and developed a comprehensive analytics modernization roadmap and interactive dashboards for critical executive-level meetings, allowing visibility into trends, headcount, attrition, culture surveys, vacancy, hires, and market insights
• Partnered with SVPs of Talent Acquisition, People, Diversity & Inclusion and business leaders to drive data-driven decisions and influence program and policy changes for Racial Justice Commitments, within 90 days of hire; 5% increase in Black/Latinx talent
• Managed multiple global projects and stakeholders involving delivery self-service analytics solutions in Tableau / Tableau Server with disparate data sources such as a Talent Acquisition Dashboard and D&I Scorecard
• Created a workforce reduction and planning model leveraging PowerQuery as a strategic tool for reduction in force decisions and talent related concerns that lead to business impact – resulted in 31% reduction in planning hours
• Led future of work effort to reclassify job families into new “Tech/Non-Tech” definition, resulting in 14% change across company
• Fully launched the global People Analytics function, frameworks for identifying business problems, the governance model for data, product and people roadmaps and 5 work products, within 6 months of hire

Head of People Analytics

Analytics Product Manager | AI/ML | Social Entrepreneur | Data Scientist | Mentor | Big 4 | DS4A | Spartan Racer

Teneika Askew is an Analytics Leader with more than 10 years of experience providing analytics, business process improvement and consulting services. She specializes in data analyses around financial, talent and operational data and driving workforce strategies for Fortune 500 companies.

Teneika uses Power BI, Tableau, SQL and Python to create 100% data-driven, innovative insights using organizational data. She also trains colleagues and the communities she serves with open data made available through the DATA Act.

Teneika also has extensive experience with business analysis for commercial, not for profit, and governmental entities. Her strengths are in performing complex analyses to identify and understand processes, gaps and transactions to answer difficult to solve problems.

Awards: Globant US Digital Leader. Women of Color in STEM - Technology All Star Award. Values in Practice. Applaud Awards (3X). Performance and Team Awards (6X). She Rocks the World, Fearless Leader. Diversity & Inclusion Driver Award. Grace Hopper Women of Color in Tech Scholar. People Analytics World Speaker. Society of Women Engineers Speaker. Distinguished Scholar and Honors level in Data Science for All fellowship(s). Top Teaching Assistant.

Certifications: Microsoft Data Analyst, Certified Scrum Master, Tableau Desktop Specialist, AWS Solution Architect. COBIT 5, ITIL, Agile Certified Practitioner and Microsoft Certified Trainer

Fellowships: Data Science for All - Empowerment and Data Science for All - Women's Summit

Recognized as US Digital Leader by Globant in the annual edition of the Globant Awards - Women that Build,  a global recognition that seeks to change the reality of the industry and reduce the gender gap, highlighting professionals who inspire, who build, who lead and help create change. 
http://womenawards.globant.com/3335/Teneika-Askew
This award recognizes innovative women who are leaders in their organizations and who have been impacting change in the IT industry for at least 10 years.

Featured in Business Insider, Tech Crunch and eFinancial.

teneikaaskew.com | @teneikaask_you on Twitter

Group Product Director - Data Science & Analytics Enablement

Northeastern University

Part-time Lecturer in Analytics - College of Professional Studies 

Daily Data Scientist

- Providing solutions to companies that want to optimize their data strategy for product management and marketing: data capture, governance, processing, and data products.

Founder

Nobul

Growing a consumer-centric marketplace for real estate transactions
- Analyzing A/B experiments providing insights optimizing our offer to users
- Extracting insights from Product Analytics driving our conversion funnel
- Creating machine learning models to optimize conversion
- Optimizing recommendation systems empowering users by providing them with personalized suggestions
- Supporting Marketing Analytics by highlighting efficient campaigns

Lead Data Scientist

Data Science Dream Job

- Mentored, supported, and taught close to 3,000 aspiring data scientists through a program that provides a clear roadmap and systematic approach to helping students or career switchers/enhancers transition into this exciting field
- Built workshops covering topics in statistics, machine learning, and product & marketing analytics providing a solid foundation for mentees who were interested in entering the field

Data Science Mentor

National Bank of Canada

Client Intelligence and Advanced Analytics - Marketing team for Business clients:
- Performed in-depth analysis of business clients' attrition leading to actionable insights.
- Revising clients lists targeting during the onboarding process to optimize ROI.

Data Scientist

Udacity

Mentoring students in the Data Science Nanodegree Program at Udacity.
- Providing 1-on-1 mentoring calls with students
- Creating webinars covering supervised/unsupervised ML and the basis of Deep Learning

Data Science Mentor (Data Science Nanodegree Program)

University of Calgary

Senior Research Associate

Helen Wills Neuroscience Institute, UC Berkeley

Topic: Modulation of fronto-striatal circuits using concurrent fMRI/TMS
- Developing novel concurrent fMRI/TMS protocol targeting specific fronto-striatal loops
- Assessing and developing novel processing for removing TMS artifacts from fMRI images
- Processing structural images including segmentation

Postdoctoral Researcher

Université de Montréal

Topic: Neural bases of exception word reading in young and old healthy individuals using fMRI
- Performing acquisitions and analysis of fMRI data, including diffusion MRI data
- Co-supervising graduate students with their research project

CRIUGM/University of Montreal

- Support students creating fMRI experiments and analyzing neuroimaging data (fMRI and anatomical MRI). 
- Administration of a neuropsychological battery to assess the effect of normal aging.

Research Professional

As a data scientist, I have extensive experience in using data analytics and building machine learning models with the goal of empowering business decisions and bringing better insights into human behavior. I strongly believe in the power of sharing knowledge to drive business growth and help colleagues improve themselves. In my opinion, successful goal achievements start with cross-departmental interactions and a deep understanding of stakeholders' needs. I am a firm believer in the value of dedicated mentoring as a strong investment in both personal and business growth. I consider talent development crucial for a fulfilling work life.

Technical Skills:
- Statistics & Probability
- Advanced Analytics
- Machine Learning
- Data Visualization
- Proficient in Python, SQL, and R
- Cloud Computing Platforms (GCP and AWS)
- Generative AI - Large Language Models (LLMs) - Retrieval Augmented Generation (RAG)

taplio

The Battle

Teneika Askew

Jean-Sebastien Provost, Ph.D, MBA

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