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

Midnite

Head of Data

Lead Data Engineer

Bidnamic

Data Engineer working with Python, Airflow, Postgres and AWS to develop a market leading Google Shopping bid optimisation solution.

• Redesigned the entire source data ingestion process and migrated legacy code to new Google Ads API.
• Researched, recommended and implemented best practice of continuous data quality monitoring in pipelines.
• Designed and implemented a standardised library of reusable and fully unit tested data cleaning utilities.
• Designed and implemented company parquet lake to provide analytics capabilities to the wider business, utilising
AWS Athena as the query engine.
• Designed internal tooling and components to standardise data lake and parquet lake file paths to provide
integrity to the lake structures and underlying data.
• Independently identified performance bottlenecks and delays, recommended and implemented best practice
solutions, including SQL query optimisation and implementation of indexes and other best practices.
• Identified Airflow anti-patterns causing performance bottlenecks and system reliability issues, recommended and
implemented best practice solutions.
• Migrated legacy exchange rates codebase to a simple, but powerful internally managed system.
• Provided constructive feedback on PR reviews of colleagues and peers.
• Ensured all work was thoroughly unit tested by using a TDD approach.

Data Engineer

graze.com

Lead Data Engineer responsible for the design, implementation and maintenance of the Unilever UK Insights Hub, an Azure-based big data platform, enabling a shift to a data-driven decision-making process in the UK.

• Researched, designed and implemented best-practices for key technologies in the architecture including Azure Data Lake Storage, Databricks Delta Lake, Spark, Data Factory and Azure SQL Data Warehouse
• Identified limitations of Azure services and designed appropriate solutions to achieve business objectives.
• Designed, implemented and maintained over 24 data pipelines, delivering over 100TB of data to data analysts,
data scientists and business-oriented end users.
• Worked with the Data Science team to provide clean and timely data, enabling the timely delivery of business
objectives.
• Assisted the CTO in key decisions of the overall architecture of the UK Insights Hub.
• Trained, mentored and assisted with junior members of the data engineering and wider data team.

Infectious Media

Quickly rising to a respected member of the data engineering team, taking lead on the design and migration of the legacy in-house ETL solution to Airflow, with a focus on researching and implementing Python, Airflow and general coding best practices and techniques.

• Migrated significant portions of legacy in-house ETL solution to Airflow (GCP Composer).
• Designed and developed integrations to key data sources as reusable Airflow plugins.
• Identified opportunities for and developed custom Airflow operators for use in the ETL pipeline, improving code
quality and reducing code duplication.
• Recommended and implemented a company code style guide and development best practices of docstrings, unit
testing, general code commenting and commit/pull request messages, resulting in significantly more
maintainable and understandable code.
• Recommended and implemented a robust testing framework including unit testing of Airflow operators, as well
as the implementation of a staging environment to facilitate streamlined end-to-end integration testing.
• Identified and rectified several long-standing bugs, improving data quality and performance of the ETL pipelines
• Mentored junior members of the team and participated in the PR review process, providing valuable technical
and business expertise and knowledge to the wider team.
• Participated in the interview and selection process of new data engineering candidates for the team.

University of Southern Queensland

Energised for a new career pathway, returning to Australia to complete a PgDip Data Science qualification, focusing my entrepreneurial, analytical and business skills into a challenging programme. Studying full time, working hard to develop programming competency as well as advanced knowledge of programming, data analysis, data science and data engineering.

• Gained strong programming capabilities in Python, R and C++; building on existing skills in SQL.
• Studying methodologies for Data Analysis, Statistical Analysis, Data Mining and Machine Learning. 
• Hands-on developing Advanced Relational Databases. 
• Programmed Visualisations, Dashboards and Reports within data science learning streams. 
• Developed a deep understanding of the role of Business Intelligence and Data Science in business success.

Post-Graduate Diploma of Data Science Student

MyWorkpapers

Seizing an opportunity to move to the UK and join a start-up business as the 3rd member of the team, naturally exposed to all aspects of the business, primarily from a Product Development perspective. Working in a start-up environment dealing with daily challenges, uncertainties and change, including the growth of the company from 3 to 20+ employees in 4 years. The role that sparked an interest in programming and technology in business. 

• A key influencer within the senior management team and driver of the start-up and growth phase. 
• Initiated and nurtured a billion-Euro strategic relationship with a European distribution partner.
• Product manager to the MyWorkpapers product lifecycle; project managed upgrades and new modules. 
• Owned the post-release product vision including pricing strategy, user training and technical support. 
• Business analyst to the product lifecycle, responsible for user stories, requirements and test lifecycles. 
• An effective analyst responsible for the capture, analysis and reporting of customer metrics and KPIs.

Product Manager

Crowe Horwath International

Achieving a rapid progression from Graduate Accountant to Manager of the audit team, responsible for a portfolio of clients and their audit requirements. Hands-on developing policies, audit frameworks and methodologies to ensure that regulatory standards were sustained. 

• Instrumental in growing the audit division annual revenue by +30%. 
• Achieved 85% of all engagement under budget and on-time to exceed client expectations. 
• Gained exposure to accounting, audit and commercial operations and solved tough process problems. 
• Utilised MI data to identify weaknesses in the business and plan for change and improvement.

Audit Manager

Audit Senior

A Lead Data Engineer with a robust history in start-up businesses. Highly proficient in Python and SQL, with significant experience in both migrating legacy codebases, as well as implementing greenfield solutions from the ground up using modern best practices and solutions. A proven self-starter with the willingness and ability to independently research and implement best practice solutions. Always willing to learn new skills and take on unknown challenges. Excels in ambitious, entrepreneurial and challenging work environments with a high degree of autonomy.

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Teneika Askew

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