Sheetal Bongale

Senior Data Scientist @Upshop

Austin, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2023 — Present

Senior Data Scientist @Upshop

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Austin, TX, US

Driving innovation and AI/ML-powered forecasting solutions that redefine grocery retail operations and ultimately reduce food waste. Specializing in optimizing demand forecasting, inventory, recipe management, and more.Reporting to the VP of Data Science

EDUCATION

N/A

Texas McCombs School of Business

Graduate Certificate, Data Science and Visualization

N/A

University of Mumbai

Bachelor of Engineering, Electronics Engineering

N/A

University of Cincinnati

Master of Science - MS, Electrical and Computer Engineering

SKILLS

VerilogModelsimVhdlVlsiComputer ArchitectureFpgaC++PerlAsicRtl DesignCSpiceAltera QuartusTclSystemverilogAssemblyMagicProgrammingTestingX86 AssemblyDigital Hardware DesignLinuxSynopsis Dc-ShellPrimetimePerl ScriptTetramaxVerificationRtlSynopsys ToolsLow-Power DesignLogic DesignStatic Timing AnalysisAssembly LanguageSocHardwarePhysical Vlsi DesignIrsimUnixXilinxEda

ABOUT SHEETAL BONGALE

Hi, I’m Sheetal — a Senior Data Scientist and Machine Learning Engineer focused on building and shipping production ML systems that solve real business problems.I work at the intersection of data science, machine learning engineering, and product. My experience spans early-stage startups and enterprise environments where I’ve led projects from 0→1 prototypes to production-grade systems — with clear ownership across data foundations, pipelines, deployment, monitoring, and long-term maintainability.I specialize in turning ambiguous problems into deployable solutions — defining AI strategy, identifying high-impact opportunities, designing scalable pipelines, and building models that teams trust and actually use to drive measurable impact. ‍ Architect and ship end-to-end ML systems (data → features → training/inference → deployment → monitoring) Build MLOps foundations: CI/CD, reproducibility, observability, model/data quality, and governance Develop scalable data + ML pipelines and platform patterns that support multiple use cases and teams Translate business goals into measurable ML/product requirements, milestones, and delivery plans Partner with engineering, product, and leadership to align roadmaps, de-risk execution, and drive adoption & 🧭I take a product- and ownership-driven approach to ML/AI. That includes shaping roadmaps, prioritizing high-ROI opportunities, and ensuring solutions are scalable, maintainable, and aligned with long-term strategy.I’m comfortable operating as a technical lead — mentoring and unblocking teams, influencing architecture and operating practices, and communicating tradeoffs clearly to both technical partners and executive stakeholders.I’m most effective in environments where I can combine hands-on building with strategic decision-making. Open to Senior/Staff/Principal Data Scientist and ML Engineer roles focused on high-impact data products in a diverse and collaborative environment. s••••••••@gmail.com

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