Rohit Thanki
Data Scientist
Experience
Data Scientist
KRiAN GmbH
- Designed and deployed end-to-end ML pipelines using Python and SQL for multimodal data processing and predictive modelling.
- Built cloud-ready ML systems integrating heterogeneous data sources with scalable data engineering practices.
- Partnered with product and business teams to define high-impact ML use cases and guide technical execution from prototype to deployment.
- Introduced architecture patterns and documentation frameworks supporting model governance, lifecycle traceability, and audits.
- Mentored 4+ engineers on ML workflows, and model deployment.
Independent Consultant (AI)
Ennoventure Technologies
- Delivered AI-based anti-counterfeit security solutions for FMCG and pharma.
- Designed cryptography-integrated ML models and GAN-based counterfeit simulation.
Head of R&D (AI)
Prognica Labs
- Directed full ML lifecycle: dataset curation, modelling, validation, deployment, and compliance documentation.
- Delivered multiple-deployed AI products improve operational turnaround and decision accuracy.
- Published research supporting product regulatory approval and adoption.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Information Technology (3.5 years), Healthcare (2 years), Food and Beverage (1 year), and Pharmaceutical (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Product Development (5.5 years), Business Intelligence (3.5 years), Information Technology (3.5 years), and Research and Development (2 years).
Summary
Senior Data Scientist with 8+ years of applied experience designing and deploying machine learning solutions for commercial, operational, and healthcare domains. Specialized in building end-to-end ML pipelines, production AI platforms, and Generative AI solutions, including RAG-based document intelligence and multimodal predictive models. Skilled in collaborating with business stakeholders to translate high-value use cases into scalable ML products that deliver measurable business impact. Strong experience mentoring teams, and defining AI implementation strategy.
Skills
- Machine Learning: Predictive Modelling, Feature Engineering, Model Deployment, Mlops
- Generative Ai: Rag, Llms, Langchain, Langgraph, Prompt Engineering, Document Understanding
- Cloud & Data Engineering: Azure, Ci/cd, Mlops, Vector Dbs
- Programming & Data: Python, Sql, Scikit-learn, Pytorch, Tensorflow, Opencv
- Tools: Git, Flowise, Chroma Db, Vertex Ai
- Data Domains: Structured & Unstructured, Image, Text, Sensor, Document Intelligence
Languages
Education
C. U. Shah University
Ph.D. · Electronics & Communication Engineering · India
G. H. Patel College of Engineering and Technology
M.E. · Communication Engineering · India
Atmiya Institute of Technology & Science
B.E. · Electronics & Communication Engineering · India
Certifications & licenses
AI Agents Intensive course with Google
Google and Kaggle
Introduction to MLOps
DataCamp
Introduction to SQL
DataCamp
AI Agent Development (Agentic AI)
EduxLabs & IIT Madras
Introduction to Vertex AI Studio
AI Agents in LangGraph
DeepLearning.AI, Coursera
Introduction to Python & Machine Learning
DataCamp
Python for Data Science
Analytics Vidhya
Machine Learning, Data Science and Deep Learning with Python
Government Engineering College, Gandhinagar, Gujarat, India
Python Workshop
Atmiya Institute of Technology & Science, Rajkot, Gujarat, India
Artificial Intelligence and Machine Learning
Government Engineering College, Rajkot, Gujarat, India
Artificial Intelligence and Deep Learning
Marwadi University, Rajkot, Gujarat, India
Image Classification, Object Detection, and Neural Network Deployment with DIGITS & TensorRT
NVIDIA Deep Learning Institute
Profile
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