Machine Learning Engineer · Skan AI
Dec 2025 - Present- Building an agentic AI platform that automates business processes end-to-end.
Available for new opportunities
Hi, I'm Jayesh.
Data Scientist & Machine Learning Engineer.
Building AI systems and analytics that turn messy data into measurable outcomes: from agentic workflows to deep-learning models.
Palo Alto, CAjayesh281998@gmail.com
About
A quick intro.
I'm a data scientist and ML engineer based in the Bay Area. I've spent the last five years working across enterprise analytics, applied deep learning, and production AI systems, always at the intersection of "does this actually work?" and "does this actually matter?"
At C5i, I worked with Fortune 500 teams on customer segmentation, marketing mix modeling, and A/B testing, the kind of work where a well-framed question matters more than a complex model. At Aurora Engineering, I shifted to spaceflight telemetry for NASA's MMS mission, building pipelines to recover missing data from satellite instruments. Most recently at Skan AI, I've been building agentic AI systems, LLM pipelines, and multi-agent architectures.
I have a Master's in Data Science from UConn. What I care about most is solving problems that sit at the intersection of data, product thinking, and decision-making, and shipping solutions that hold up in the real world.
5+
Years in ML & Data Science
$57M+
Incremental revenue driven
17M+
NASA telemetry points modeled
Skills
Tools I reach for to ship.
From classical ML and statistics to modern agentic AI stacks and production infrastructure.
ML & Statistics
Logistic / Linear RegressionClusteringGLMsDecision TreesDimensionality ReductionDeep LearningNLPTime SeriesHypothesis TestingA/B Testing
LLMs and AI Agents
LangChainLangGraphLlamaIndexLiteLLMGoogle ADKAgentic AIGenerative AI
Languages & Platforms
PythonRSQLSparkDockerGCPAzureAWSAirflowDatabricks
Frameworks & Libraries
PyTorchTensorFlowKerasScikit-LearnXGBoostPandasNumPyStatsModelsFastAPISveltePlotlyTableauPowerBI
Achievements
Highlights.
Travelers Insurance Case Competition 2024
Secured first place in a Kaggle competition by developing a frequency-severity model using generalized linear models to predict claim costs.
Star of the Quarter
Awarded Star of the Quarter twice at C5i for exceeding role expectations.
Publication: Object Detection using Hausdorff distance
Published research on object detection using Hausdorff distance.
View publicationExperience
Where I've worked.
Data Scientist · Aurora Engineering
Aug 2024 - Dec 2025- Used ML, deep learning and time series models to recover corrupt data from NASA's MMS satellite telemetry.
Sr. Data Scientist · C5i
Oct 2022 - Aug 2023- Worked as a data science consultant for clients: segmentation, forecasting and marketing-mix modeling.
Data Scientist · C5i
Oct 2020 - Sep 2022- Consulted on funnel analysis, assisted with segmentation, and reporting automation across client engagements.
Education
Academic background.
MS, Data Science
University of Connecticut, Storrs, USA
Aug 2023 - Dec 2024GPA: 3.78 / 4.0
B.E., Computer Engineering
University of Mumbai, India
Jul 2016 - Oct 2020GPA: 3.0 / 4.0
Contact
Have a role, project, or collaboration in mind?
I'm open to ML engineering, data science and applied AI opportunities. The fastest way to reach me is email. I usually reply within a day.