Chris Esposo
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Chris Esposo

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Principal Data Scientist | GenAI | Deep Learning | AI Strategist | Maker | Ex-IBM Data Scientist
United States
Contact Chris regarding: 
Flexible work
Starting at USD200/hour

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Résumé

Jobs verified_user 0% verified
  • S
    Founder
    Stealth AI Startup
    Feb 2025 - Current (6 months)
  • Helm
    Lead Data Scientist
    Helm
    Jul 2021 - Jun 2024 (3 years)
    Lead data scientist and primary developer of machine learning pipelines and processes for Helm, an emerging growth-stage startup of approximately 70 professionals that was later acquired by Murmuration.org. Helm was a political data startup building machine learning assets for voter file based data analysis and predictions. Lead innovator of methodology and practice for the DS team. Diverse set of projects include prototyping an early chatbot that integrated RAG architecture and vector databases from a fine-tuned LLM, to developing AutoML scoring processes. Built a custom Transformer architecture that predicts ethnicity by name alone as well as integrated this into a wider multi-attribute fusion model that combined diverse tabular and spati
  • D
    Data Scientist
    Data Detective LLC
    Oct 2020 - Current (4 years 10 months)
    Consulting on, and developing products within complex systems simulations, GenAI, and sophisticated context-aware technologies. Including domain-area intelligence engineering for LLMs, designing, developing, and training surrogate models, and general DNN model and systems design. Consultations on AI technologies, strategies, and development available on a per-case basis
  • Springboard
    Data Science Career-Track Prep Mentor
    Springboard
    Apr 2020 - Aug 2024 (4 years 5 months)
    • Mentored students in the Data Science Prep Course (DSCP) to enhance Python programming skills and data analysis knowledge. • Guided mentees in mastering the PyData stack to prepare them for success in the career track curriculum.
  • Springboard
    Data Science Career Track Mentor
    Springboard
    Jan 2020 - Aug 2024 (4 years 8 months)
    • Mentored students in the Data Science Career Track program, focusing on Python and data analytic workflows. • Provided exceptional guidance in technical concepts and professional data analysis skills. • Received positive feedback from students and helped them thrive in the field.
  • Nielsen
    Principal Data Scientist
    Nielsen
    Aug 2018 - Aug 2020 (2 years 1 month)
    Team and technical lead for a major data science engagement at The Coca Cola Company (TCCC), leveraging various data sources, from population census, granular retail data,and social media/search-data etc., to understand and predict consumer preferences with respect to various brands in the portfolio of products at TCCC, that will drive increases in brand market share, and expand consumption to new demographics. Daily activities include data mining, machine learning, model construction and tuning, and other processes related to the data production pipeline from ideation, data-gathering/pulling to transformation, and insight generation. Primarily leveraging the Hive/PyData/Python scientific computing stack within an Azure platform.
  • Springboard
    Introduction to Data Science Mentor
    Springboard
    Jun 2018 - Mar 2020 (1 year 10 months)
    • Mentored and coached budding data scientists in weekly meetings, guiding them through course projects and fostering their data acumen. • Helped professionals successfully complete the Springboard curriculum, driving their growth in the field of data science. • Collaborated with individuals to develop skills in R programming and enhance their understanding of data analysis techniques.
  • General Assembly
    Data Science Subject Matter Expert
    General Assembly
    Mar 2016 - Jun 2016 (4 months)
    • Developed General Assembly's new global Data Science Immersive Curriculum focusing on Python data science stack. • Advised on learning pedagogy, tool-use, technical course material, and business best practices. • Built Python-centered lessons/labs on probability theory, Bayesian Statistics, LDA, and more. • Utilized tools like Theano, libraries like PyMC, and APIs for web platform analysis.
  • IBM
    Staff Data Scientist
    IBM
    May 2015 - Jun 2018 (3 years 2 months)
    Main technical contributor to the data analysis arm for IBM global sales in IBM CHQ. Team focused on measuring success (and failure) of multi-quarter IBM business-to-business sales engagements, as well as model and predict which engagements were most likely-to-succeed across all businesses and geographies in IBM’s global business. Studied various ‘signals’ in IBM sales data to determine pipeline opportunities, health, and composition to inform corporate/global IBM executives on sales strategy. Features leveraged in modeling activity included two broad categories: behavioral (sales-stage activity, sales-team natural language notes, and firm-engagement indicators), firmographic (current business condition of the firm as characterized by publ
  • IBM
    Senior Management Consultant
    IBM
    Aug 2012 - Apr 2015 (2 years 9 months)
    Management consultant, promoted to Senior Consultant for IBM's Strategy & Analytics (S&A) practice. Worked in data science and analytics strategy. Broad cross-industry exposure includes projects in telecommunication, energy, games & entertainment, financial services, pharmaceuticals, federal agencies, insurance, and internal consulting tasks for IBM. Have worked a variety of roles primarily on crafting, developing, and deploying analytics, and strategy, as well as Watson solutions including: • Successfully co-led a team to craft strategy for a major business unit in a Fortune 50 financial services firm to develop predictive analytics capabilities. Proof of concepts and engagement led to larger follow-on services • Helping to stand-up a
  • T
    Junior Business Analyst Intern
    The Coca Cola Company
    May 2011 - Oct 2011 (6 months)
    • Managed client/vendor relations and led design & business scoping sessions for various projects at Coca-Cola Company. • Served as project manager for investment systems upgrade at TCCC credit union, overseeing successful implementation. • Consulted technical and business resources on project operations, ensuring seamless integration and efficiency.
  • C
    Actuarial Analyst Intern
    Catlin
    Jun 2010 - Aug 2010 (3 months)
    • Conducted data and statistical analysis on proprietary and third-party loss-records using Excel, Access, and VBA script for insurance premium pricing. • Collaborated with actuarial analysts to debug and construct deterministic loss-models for various specialty sectors. • Managed excel algorithms and database using VBA for Excel, Access, and SQL script.
Education verified_user 0% verified
  • A
    Artificial Intelligence Professional Program, Artificial Intelligence
    Aug 2024 - Jul 2025 (1 year)
    Stanford University's Professional Program in Artificial Intelligence delivers graduate-level education adapted from Stanford's on-campus curriculum, taught by Stanford faculty. The program provides comprehensive training in cutting-edge AI technologies, equipping professionals with the skills to build custom AI models, implement advanced algorithms, and optimize system performance. Students benefit from hands-on technical mentorship, collaborative learning environments, and intensive coding projects in small cohorts (~100 students), combining theoretical depth with practical applications. Current Coursework (in progress): Graph Neural Networks Multi-Task and Meta-Learning Architectures Natural Language Understanding Deep Generative Algori
  • C
    Computer Vision + Deep Learning (CVDL) Master Program, Computer Vision
    May 2023 - Jul 2025 (2 years 3 months)
    OpenCV University’s CVDL Master Program is a seven-course, beginner-to-expert pathway covering the full spectrum of Computer Vision, Deep Learning, and AI. Curated and taught by industry experts, it spans core image processing, advanced neural networks, generative AI, and production-ready deployments. Students gain practical, hands-on experience building end-to-end solutions for tasks like object detection, pose estimation, and text recognition, working in both Python and C++. The curriculum blends industry-focused projects, official OpenCV certification, and active mentorship, ensuring graduates are well-prepared for professional AI roles. Current coursework (in progress): MOCV: Mastering OpenCV with Python CVIP: Fundamentals of Comput
  • B
    Bachelor of Arts - BA, Mathematics
  • B
    Bachelor of Arts - BA, Economics
  • M
    Master of Science - MS, Computer Science
    Current graduate student with a concentration in the domains of artificial intelligence, taking electives both in AI and machine learning
  • M
    Master of Science - MS, Economics/Mathematics
    66 graduate semester hours completed as well as significant amount of community activities, including veteran-related wounded warriors Warm Springs initiative, co-authoring, and co-sponsoring Georgia Tech's first public policy case competition, and running several weekly and semester student policy events. Some relevant courses to data science include: Econometric Analysis, Geo-Spatial Data & Analysis, Cost-Benefit Analysis, Probability Models, Dynamical Systems, Graph Theory, Number Theory, Hilbert Space, Graduate Numerical Linear Algebra, Linear Programming, Modeling, Simulation, and Military Gaming, Economic Geography, Applied Graduate Microeconomics, System Dynamic Simulations, Iterative Systems
Projects (professional or personal) verified_user 0% verified
  • I
    IBM Interactive CxLab Competition - Serious Game RPG Proof-of-Concept
    Jan 2014 - Mar 2014 (3 months)
    Developed a proof-of-concept serious game RPG that could be used to communicate how complicated consulting and software services impacted a clients business and operations. Project was conceived and developed in a 1-month turn-around on an entirely voluntary basis, on top of main work tasks for IBM. Team quickly picked up skills in basic game design, coding, and development using third party software: Game Maker Studio as a rapid prototyping environment. Project was commended as most creative submission, and won a runner-up out of 30 team contestants.
  • T
    The Warm Springs Initiative
    Dec 2011 - Apr 2012 (5 months)
    Chris, and company, negotiated, conceived of, and help execute a successful nonprofit consulting engagement with the Health Care Institute for Neuro-Recovery & Innovation (HINRI) and the Georgia Warrior Alliance (GWA), to write a business plan and present findings for a wounded warrior vocational program to be housed at the Roosevelt Warm Springs facility in southern GA. The process included client engagement both remotely and through site visits. Organized a team of graduate and undergraduate students to do background research, analysis, write progress reports, edit, and assemble the final business plan. Final deliverables were presented at the April 14th kick-off event in Warm Springs and Callaway Gardens, to a host of honored guests and
  • G
    Georgia Tech Public Policy Case Competition
    Jul 2011 - Aug 2011 (2 months)
    Chris formed the case writing team, did research, selected most appropriate topic, and served as lead author for GT's first public policy case competition.The GT case competition included participation of 5 local Georgia schools (GSU, UGA, GT, Kennesaw, and Emory). Participants were given case and suggested material 24 hours in advance of the presentation deadline. Several noted companies sent observers, including McKinsey & Company. The case competition centered on how to best reclaim property for the soon-to-be decommissioned Ft. McPhereson, and was based off of case-studies done on the BRAC realignment program.
Awards verified_user 0% verified
  • Springboard
    Inspire Mentor Award
    Springboard
    Springboard Inspire is a recognition program we created in 2019 to celebrate excelling mentors who deliver on our mission.