Darshil Gohel
@darshilgohel
Senior Data Scientist and Machine Learning Engineer delivering production-ready AI/ML solutions at scale.
What I'm looking for
I am a Senior Data Scientist and Machine Learning Engineer with over 10 years delivering scalable AI/ML solutions across healthcare, media, federal, and telecom industries.
I build end-to-end machine learning systems—from data pipelines and model development to MLOps and cloud deployment—using AWS, Databricks, PySpark, TensorFlow, and related tools, and I specialize in NLP, LLMs, and Generative AI.
I have led cross-functional teams, mentored junior talent, and driven measurable business impact: improving TV rating accuracy to 99%, reducing processing time by 96%, and influencing multimillion-dollar product investments.
I prioritize responsible AI and statistical rigor, designing production-grade Conversational AI platforms, fact-checking and RAG systems, and automated model monitoring to deliver ethical, reliable, and cost-efficient solutions.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
Nielsen
Mar 2020 - Present (5 years 6 months)
Led development of flagship audience measurement platforms and large-scale ML pipelines, improving rating accuracy to 99% and reducing processing time by 96%; deployed production Conversational AI supporting 500K+ monthly interactions and reduced NLP infrastructure costs by 35%.
Lead Data Analyst
Axxess
Aug 2018 - Mar 2020 (1 year 7 months)
Led cross-functional teams to design and deploy ML pipelines and big-data platforms, accelerating model iteration by 40% and automating document processing to cut manual review time by 80% for federal healthcare clients.
Data Analytics Intern
Idibri
May 2017 - Dec 2017 (7 months)
Developed web-based analytics and visualization tools that reduced acoustic data analysis time by 33% and enabled interactive dashboards for sound consultants using R Shiny and Plotly.
Delivered an end-to-end asset lifecycle management system that reduced operating asset costs by ~30% and built KPI dashboards tracking 200K+ assets to improve maintenance scheduling accuracy by 40%.
Implemented an AIDC RFID-based solution and integrated hardware data with IBM Maximo, improving real-time asset tracking and backend data reliability for telecom clients.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Dallas
Master's degree, Business Analytics
2016 - 2018
Completed a Master's degree in Business Analytics with coursework and projects focused on data analysis, machine learning, and business decision support.
Nirma University
Bachelor of Technology, Electrical, Electronics
2009 - 2013
Completed a Bachelor of Technology in Electrical and Electronics Engineering with foundational coursework in engineering principles and applied technical projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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