Sam H.
Studied at University of Pennsylvania
Works at Adobe
Available Tuesday at 9:00 PM UTC
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About Sam
🚀 About Me I'm a Value Engineer at Adobe, where I work with C-suite leaders at major media and entertainment companies to develop business cases that drive strategic investments and digital transformation. Previously, I was a Data Science Consultant at Ernst & Young, where I built predictive models 📊, designed analytics-driven strategies 📈, and led innovative projects 💡. I graduated University of Pennsylvania with honors🎓, with a degree in computer science specializing in data science. Beyond my industry experience, I’ve also taught data science and analytics at an accredited program, was licensed by the New York State Board of Education to teach. I bring that same structured, results-driven approach to my coaching, helping people build skills, advance their careers, and bring their ideas to life. Whether you're looking to: - Break into tech or consulting 🔍 (resume prep, technical & case interviews) - Level up at work 💼 (data science, analytics, automation, strategy) - Tackle a side project 🚀 (ML models, data pipelines, coding best practices) I provide clear, practical guidance to help you land opportunities, sharpen your skills, and execute on ideas with confidence. 💬 Let’s work together to make your next big move happen!
Work Experience
Value Engineer
Adobe
March 2024 - Present
Value Engineering Consultant at Adobe, specializing in business case development for Fortune 100 Media, Entertainment, and Telecom companies. Collaborate with executive and C suite stakeholders to identify opportunities for transformation and growth. Work closely with deal bands exceeding $1M+, using data to craft compelling business cases and ROI analyses that align Adobe's solutions with client goals. Worked on $50M+ of signed net new ASV. Facilitate C-suite engagements, ensuring alignment on vision and delivering measurable outcomes
Data Science Educator
brainstation
August 2023 - April 2024
Instructor for BrainStation's Data Science program, teaching machine learning, data visualization, and predictive modeling. Designed and delivered an industry-relevant curriculum, ensuring students gained practical, hands-on experience. Mentored professionals and aspiring data scientists through real-world business projects. Leveraged expertise in Python, SQL, and Tableau to guide students in solving complex data challenges. Fostered a collaborative and engaging learning environment to inspire growth and innovation.
Data Science Consultant
EY
July 2021 - June 2023
Price Negotiation Model Development -Scraped data from various sources and conducted data cleaning and preprocessing tasks using Python libraries such as: Beautiful Soup, Scrapy, Pandas, NumPy, and/or Regular Expressions. -Developed a custom pipeline to predict product prices based on their specifications or attributes, and conducted statistical analysis to identify product margins and derive insights about market trends and competition. -Designed and implemented a custom clustering algorithm from scratch to group similar products based on their attributes. -Utilized recursive feature elimination with random forest for efficient feature selection, enhancing model performance andlowering computational complexity in the price prediction pipeline Predictive Modeling -Developed proof of concept models to predict cost for several clients across various industries -Utilized various modeling architectures to both classify costs and predict costs at a point in time -Experienced in cleaning large data sets, EDA, advanced training/evaluation techniques and data visualization -Created, managed and git tracked; data cleaning, modeling and evaluation pipeline in Python Applied hyperparameter optimization using cross validated grid search, significantly improving in model performance Digital Transformation -Conducted dozens of client interviews to develop an accurate and complete current state of the digital ecosystem -Completed comparative analyses between client and competitor digital ecosystems in order to create a set of actionable objectives, correcting pain points in the ecosystem -Compared data warehouses like Snowflake, Redshift, and BigQuery to determine the optimal solution, enhancing data storage and query performance for the digital transformation project -Completed a roadmap of objectives grouped by development epic and assigned to objective owner SQL, Storytelling and +4 skills
Lab Intern
University of Pennsylvania
August 2018 - May 2021
-Assisted hundreds of students weekly with 3D printing and 2D laser cutting -Certified hundreds of students for lab access -Repaired 3D printers and laser printers 3D Printing, Teaching and +2 skills
Data Science Intern
Van Eck
June 2020 - August 2020
-Worked directly under the CTO to create a machine learning models using 500,000 unique and cleaned VanEck.com web visits to classify web users by investor type and identify bots -Predicted a user’s investor type based on their self-identification by creating and optimizing MLP and SVC classifiers -Defined and predicted a natural label for users by utilizing scikit-learn to create and optimize NMF, K-Means and -DBSCAN models that cluster users based on similarities of their web sessions -Identified bots by plotting users based on median theta deviation and MAD theta deviation from their mean web session Python, Statistics and +1 skill
Education
University of Pennsylvania
Bachelor of Applied Science - BAS, Computer Science, Data Science
2017 - 2021
Graduated Penn with honors from the School of Engineering and Applied Science. Earned a bachelors degree in computer science with a focus on data science. Applied technical expertise to research to write a thesis to discover optimal methods of clustering natural language. Led Simply Chaos Standup Troupe as President, organizing performances, fostering collaboration, and guiding creative development.