Product Design Data Analysis
Resume:
Charles P. Sekyiamah
**********@*****.*** • 972-***-****
Chicago, IL 60601
linkedin.com/in/charles-sekyiamah/
Dedicated and versatile AI/ML product professional with over a decade of experience delivering successful end-to-end product design solutions. Proficient in crafting innovative product strategies and roadmaps to drive cohesive product visions across different business verticals and product types. With a proven track record of over 10 years in on-time product launches, fostering innovation, and translating market research into actionable product requirements. Skilled leader, adept at guiding high-performing cross-functional teams of engineers and designers. Experienced in setting and tracking metrics and utilizing design thinking to streamline product releases. Effective communicator and collaborator. Skills
Expertise : Product Strategy (SaaS & Hardware), Product Lifecycle Management, Market & Competitive Analysis, User Research, GTM Strategies, Design Thinking, Operations & Digital Transformation, Agile methods, Adtech, Financial Modeling, Capacity Planning, Program Management, Ad Measurement & Optimization. Technical Proficiency : Languages: Python, SQL, MATLAB, C/C++; Data Analysis & Machine Learning: Applied Data Science (Data Analysis & Visualization, ML, Deep Learning), Recommendation Systems; Cloud Services : AWS Cloud Practitioner; Product Design : Silicon Product Design; Technical Communication : Technical Presentations; AI/ML App Dev : Developing & Deploying AI/ML models for Cloud & Edge Device Applications; UI/UX: Wireframing, Figma. Professional Experience
Amazon Inc. – Chicago, IL 2022 – 2023
Senior Product Manager
Amazon Ads – Product Operations & Analytics
Facilitated execution of three-year outlook for Amazon Demand Side Platform (ADSP) revenue growth targets by id’ing & tracking key product ops metrics & providing analytics capabilities to sales, finance & product; integrating disparate dashboards, tools, and processes into one integrated process at scale for advertiser campaign delivery health diagnostics.
● Unblocked yearly revenue-at-risk of ~$200M by generating product vision to transform ad campaign management health diagnostics using ML to generate quick response model that provides actionable insights to bridge goal gaps. Amazon Ads – Customer Experience Team Advertiser Outcomes Owned platform critical ad campaign budget auto-optimization engine of the Amazon DSP that enables advertisers optimize ad campaign budget & performance using ML optimizer. Crafted 1 & 3-year product vision & roadmap, partnered with cross- functional stakeholders to roll out improvements to & adaptation of auto-optimization engine for new DSP use cases.
• Secured ~$100M in yearly ad revenue by resolving major ML algorithm challenge for automated budget optimization engine of Amazon DSP via adaptation to new ADSP platform use cases.
● Led roll out of 4 key budget optimization feature algorithm improvement A/B testing efforts that drove key metrics boost; Perfect order delivery from 90-95% & 1.5x ROAS(return-on-ad-spend) uplift across ad campaigns.
● Rolled out data product to surface auto-budget shift insights for customers that drove improvement in feature adoption rate by 10% and retention rates by 15% across ad campaigns (baseline 80% and 70% respectively).
● Accelerated feature upgrade development and GTM time by 50% through expedited root-cause analysis & robust test strategy to de-risk test execution in partnership with science, engineering & solutions consulting stakeholders.
● Slashed test scope by 80% by using design thinking methods to guide engineering implementation of ML algorithm changes that resulted in minimal redesign disruption to feature dependencies. Accenture Strategy – Chicago, IL 2019 – 2022
Senior Product Strategy Consultant
Delivered product strategy/operations and GTM recommendations and business development proposals to c-suite clients across high tech, finance, automotive, pharmaceuticals, utilities, communications and media. Program manager in coordinating with accenture travel partners to co-develop sustainability charter to reach company’s carbon-neutrality goals. Operations & Digital Transformation
• Executed $300M growth opportunity for industrial automation client via GTM partnership with Accenture’s industry 4.0 offerings; analyzed profitable markets, prioritized use cases and presented value prop to client c-suite. Page 2 2
• Led cost workstream to realize 10% manufacturing cost reduction utilizing advanced analytics for predictive maintenance of machinery to reduce downtime by 50% and optimize operational uptime. Product Strategy
• Transformed major utility player from early-stage adopter to industry leader of Advanced Metering Infrastructure
(AMI) technology by producing 5-yr AMI product vision and strategy roadmap resulting in $1B yearly rev opportunity
• Contributed to white paper on key trends in semiconductor industry to advice semiconductor clients on long term strategy mapping.
Intel Corporation – Folsom, CA 2017 – 2018
Silicon Hardware Product Design Lead (Mixed Signal Design Engineer) Headed specification development, design analysis, and validation of power / temperature control circuits for sub-modules of state-of-the-art memory cell technologies for memory/storage in PCs and cloud infrastructure (datacenters) applications.
● Created and presented interface power level specifications for sub-modules through partnership with a world-class design team of 20+ members.
● Mitigated total design-debug time by 90% via execution of automation initiatives that drove on-time market release of products by enabling efficient allocation of design resources to resolve late-stage design challenges. Texas Instruments Inc. (TI) – Tucson, AZ & Fort Collins, CO 2011 – 2017 Silicon Hardware Product Design Lead (Analog Design Engineer) Owned end-to-end microchip product design for cloud, internet, and cable TV infrastructure applications. Developed product specifications based on application protocols and client system needs, and supported cross-functional teams in test hardware development, data sheet and performance guide, and QA for market release. Employed statistical and ML models to drive robust design of microchips across key performance metrics for client systems applications.
● Achieved $20M+ in projected revenue with five-year market leadership and 40% market share increase in target segment through invention of new IP that propelled design of best-in-class broadband microchip product line.
● Secured more than $3M by building and rolling out three high-speed microchips for internet & video applications. Technical Projects
● Utilized Deep Learning and Artificial Intelligence techniques to create computer vision model that can detect facial emotions with 73% accuracy; model explored transfer learning architectures (VGG16, ResNet v2 and Efficient Net).
● Designed an image recognition neural network model (ANN, CNN) with accuracy of 91% on the Street View Housing Number Dataset (SVHN) to classify & predict labeled digits cropped from street-level photos; model is useful in map applications (Google maps), for automatically transcribing street address numbers from a patch of pixels.
● Provided business recommendations for food delivery company by analyzing their food order dataset & providing insights to inform their market efforts and business operations to drive demand and enhance customer experience. Education & Certifications
Applied Data Science Program 2023
Massachusetts Institute of Technology, Cambridge, MA. Relevant coursework – Machine Learning, Deep Learning (FFNN, CNN, GNN, Transformers), Recommendation Systems, Decision Trees, Ensemble Learning – Random Forests, Data Analysis & Visualization Product Management & Strategy Certification 2022
Wharton Executive Education
Master of Business Administration (MBA) 2018 – 2020 The University of Chicago Booth School of Business, Chicago, IL Concentrations – Operations & Strategic Management, Finance, Entrepreneurship Master of Science (MS), Electrical Engineering 2008 – 2011 Texas A&M University (TAMU), College Station, TX
Bachelor of Science (BS), Electrical Engineering 2004 – 2008 Kwame Nkrumah Univ. of Sci & Tech (KNUST), Kumasi, Ghana
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