Vinita Silaparasetty
Open Source Developer - Cohort 4
Experience
Open Source Developer - Cohort 4
Protocol Labs Dev Guild
- Selected as one of only 38 members accepted globally from 581 applicants.
- Brought data science & AI expertise into open-source Web3 ecosystems.
Independent AI Consultant | Global Advisor, Speaker & Mentor
Self Employed
- Advised organizations, including a Brazilian fintech, providing strategic AI consultation and delivering comprehensive solution architecture and implementation roadmap.
- Designed enterprise-scale customer service automation including RAG implementation, multi-channel integration, and scalable infrastructure with projected significant automation efficiency gains.
- Mentored participants in government-sponsored AI/ML programs (e.g., Korea) and supported professionals transitioning into data science and GenAI roles.
- Delivered talks since 2018 at international conferences and corporate events, focusing on Generative AI, Agentic AI, and emerging adoption strategies, rated NPS 8.7/10.
- Published technical articles and thought pieces for DataCamp, IBM TechXchange Community blog, Medium, and other platforms, simplifying complex AI/ML concepts for a global audience of ~6.2 million learners.
- Designed and launched a professional course on AI for Digital Marketing, which received CPD accreditation.
- Served as a reviewer for major scientific journals including Elsevier, IEEE, and Oxford Computer Journal.
Lead Data Science Trainer
Just IT
- Mentored 100+ adult learners from non-technical backgrounds to build end-to-end data science projects using Python, Tableau, R, and Power BI.
- Structured sample datasets to replicate industry workflows, supporting successful career transitions.
- Consistently earned an average student rating of 9/10.
Data Science Trainer - Freelance
WBS Coding School
- Created supplemental resources (e.g., data cleaning checklist, HTML cheatsheet) that saved ~70 learner hours across a 20-person cohort.
- Introduced the 1.5×IQR boxplot rule and implemented it in Python, reducing EDA cycle time by ~40% and improving correct outlier handling across 20 student projects.
Coursera Instructor
Coursera
- Launched first data science course on Skillshare in 2017 and expanded into 14 accredited offerings on Coursera as part of the Coursera Project Network.
- Developed courses including Intermediate Pandas Python Library for Data Science, Linear Regression, and Multiple Linear Regression in Julia, reaching a global learner base.
- Managed course availability during contract period and phased out content according to standard licensing and business model changes.
Author
Apress
- Contracted to author "Deep Learning Projects Using TensorFlow 2", a project-based technical book.
- Researched and developed end-to-end projects, wrote supporting code and explanations, and delivered the manuscript for publication.
- Collaborated with editors and technical reviewers to ensure clarity and accuracy.
- Delivered three invited talks on data science and initiated a Quora Space for data science enthusiasts.
Independent Researcher - Affiliated with Trendwise Analytics
Trendwise Analytics
- Conducted a two-year applied R&D project combining design principles and early machine learning insights during a mid-degree research break.
- Invented a patented Lightweight Dual-Purpose VR Headset design, developed as part of user-centered R&D to validate ergonomic and aesthetic preferences in immersive hardware.
- Submitted patent application on 2018-07-20; patent granted on 2024-03-14.
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 (6.5 years), Education (6 years), Banking and Finance (2.5 years), Manufacturing (2 years), and Media and Entertainment (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 Research and Development (5.5 years), Product Development (4.5 years), Information Technology (4 years), Strategy (2.5 years), Project Management (2 years), and Business Intelligence (1 year).
Summary
I help organizations and professionals adopt AI/ML responsibly and at scale.
- Generative AI Consulting & Advisory: Designed and delivered AI roadmaps and RAG-based automation for fintech and enterprise clients.
- Innovation: Granted a patent for a dual-purpose VR headset (2024) and contribute to open-source ecosystems (Protocol Labs, CrewAI).
- Cross-Disciplinary Applications: Applied data science to diverse fields — from medical AI research in my MSc dissertation to marketing analytics in my Coursera courses — demonstrating the ability to translate ML methods across industries.
- Training & Enablement: Trained 16,000+ learners globally, mentored career changers into data science roles, and designed accredited Generative AI programs.
- Thought Leadership: Author (Apress), Peer Reviewer (Elsevier, IEEE, Oxford), and Speaker (NPS 8.7/10 across international conferences).
Skills
- Machine Learning
- Deep Learning
Languages
Education
Newcastle University
Master of Science, Data Science · Data Science · Newcastle upon Tyne, United Kingdom
Garden City University
Bachelor of Science, Fashion & Apparel Design | Innovation and Cross-Disciplinary Research · Fashion & Apparel Design · Bengaluru, India
Certifications & licenses
Andrew Ng's Neural Networks And Deep Learning
Certified Peer Reviewer Generative AI Programs
Introduction To Data Science In Python And Applications
Multi AI Agent Systems With CrewAI
Profile
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