About me

I'm a Data Scientist with experience across Retail, Automotive manufacturing and supply chain, Telecommunications, and Hospitality, building machine learning solutions that help businesses make better decisions through predictive analytics.

I'm a strong believer in practical, hands-on learning and favor simplicity over complexity in everything I do. As a continuous learner, I balance technical depth with breadth, whether I'm experimenting with new ML tools, perfecting recipes in the kitchen, or optimizing personal investment strategies. I approach challenges with an evidence-based mindset and a focus on finding solutions that actually work.

Originally from India and currently based in the US, I enjoy bridging different perspectives and turning curiosity into expertise.

What i'm doing

  • Driving Agentic AI Transformation

    Defining the enterprise strategy to transform supply chain applications into agentic AI systems, shaping the reference architecture, orchestration patterns, and evaluation standards.

  • Leading Data Science Team at Ascentt

    Leading a team of 6+ Data Scientists and collaborating with cross functional teams.

  • Building a Personal Finance Strategy

    Researching and analyzing investment vehicles for long term wealth building.

  • Building Fitness Habits

    Developing workout routines and healthy practices for sustained physical and mental well-being.

What I've done

  • Architecting Forecasting Framework

    A comprehensive demand forecasting framework in the automotive industry.

  • Led the Ascentt 2026 Internship Program

    Defined the curriculum and mentorship structure, and guided the cohort to deliver a production-grade research application. Read about it on LinkedIn.

Daniel lewis
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Daniel lewis

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Resume

Experience

  1. Principal Data Scientist 2

    Ascentt Inc., June 2024 - Present

    • Defined and led the enterprise strategy for transforming supply chain applications into agentic AI systems, establishing the reference architecture, agent orchestration and tool-use patterns, evaluation and guardrail standards, and a phased adoption roadmap

    • Led team of 5 data scientists in developing comprehensive demand forecasting framework for automotive manufacturing, architecting end-to-end solution encompassing data preprocessing, automated workflows for outlier detection, feature engineering, and model training workflows, and automated model selection across 18 algorithms

    • Designed advanced model evaluation system with explainability framework enabling business users to understand forecast drivers and confidence intervals, improving forecast adoption and decision-making accuracy

    • Collaborated with cross-functional application teams to integrate forecasting framework into production systems

    • Drove data science workstreams on a dealer-facing recommendation engine that segments 1,400+ dealers using demographic, geographic, climate, and financial-behavior signals to generate tailored accessory recommendations for dealers and channel planners, improving recommendation acceptance by 5%

    • Contributed to systems maturity uplift by comprehensively reviewing Data Engineering and Data Science technical specifications ensuring alignment with future requirements, pioneering the implementation of MLOps for current AI models, and bolstering model lifecycle management process

    • Established and led Ascentt's 2026 internship program, defining the curriculum, project scope, and mentorship structure while directing the cohort through the end-to-end delivery of a production-grade personal finance research application (see the LinkedIn post)

  2. Senior Data Scientist

    Walmart Inc., July 2022 - January 2024

    • Increased order conversion by 1.27% resulting in annual GMV lift of $1.9 million by building and managing recommendation engine for ecommerce website

    • Lifted conversion rates by 3% translating to 240,000 additional customers by building and managing marketing response model for a banking partner

    • Revamped system reliability by architecting scalable solutions, optimizing code, and upgrading infrastructure. Reduced runtime failures by 21% through enhancements focused on compatibility, availability and resilience

    • Streamlined model risk management framework to ensure compliance with banking regulations. Managed compliance inquiries, implemented robust monitoring procedures, and developed interim models that surpassed rigorous validation standards

    • Quantified direct financial benefits realized through use of ML models, facilitating data driven decisions for alignment of technical developments with business strategies

  3. Graduate Assistant

    Stevens Institute of Technology, August 2021 - December 2022

    • Enabled automated marketing capabilities by developing a data warehouse and deploying Mautic and Superset dashboards for delivering business insights

    • Enhanced marketing campaign ROI by building dashboards to report and track 3rd party customers

    • Drove 37% increase in sales by converting 3rd party customers to direct customers through data driven marketing strategies by deriving guest segments through RFM segmentation

  4. Data Analyst

    Jio Platforms Ltd, August 2018 - July 2020

    • Performed automated and assisted data enhancements for Machine Learning algorithms behind the HelloJio voice assistant and video bots currently used by 2.8 million customers

    • Integrated chatbots with multiple conversational AI based platforms and gained exposure to fundamental working of chatbots

    • Collaborated with machine learning team and improved accuracy of bot results by 30%

    • Developed multithreaded scripts in Python for collecting big data from Elasticsearch engines

    • Analyzed data generated by voice assistant by leveraging visualization tool Kibana to gather insights and track KPIs. Resulted in 12% increase in user interactions

Education

  1. Master's in Computer Science

    Stevens Institute of Technology, Hoboken, NJ, May 2022

    Advanced studies in computer science with focus on machine learning, data science, and software engineering.

  2. Bachelor in Engineering, Information Technology

    University of Mumbai, Mumbai, India, May 2018

    Undergraduate degree in Information Technology with foundations in computer science, programming, and systems design.

Contact

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