Vinita S.
Open Source Developer - Cohort 4
Experience
Open Source Developer - Cohort 4
Protocol Labs Dev Guild
- Selected as 1 of only 38 members accepted globally from 581 applicants.
- Bringing data science & AI expertise into open-source Web3 ecosystems.
Independent AI Consultant | Global Advisor, Speaker & Mentor
Self Employed
Advisory: 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.
Mentorship: Mentored participants in government-sponsored AI/ML programs (e.g., Korea) and supported professionals transitioning into data science and GenAI roles.
Speaking: Rated NPS 8.7/10 across global audiences. Delivering talks since 2018 at international conferences and corporate events — starting with Data Science, ML, and VR applications, and in recent years focusing on Generative AI, Agentic AI, and emerging adoption strategies. Represented by the Indian Speaker Bureau (SpeakIn Network).
Writing: Published technical articles and thought pieces for DataCamp, IBM TechXchange Community blog, Medium, and other platforms, reaching a global audience and simplifying complex AI/ML concepts into actionable insights for a global audience of ~6.2 million learners.
Course Creation: Designed and launched a professional course on AI for Digital Marketing, which received CPD accreditation, enabling learners worldwide to earn recognized continuing education credits.
Peer Review: Serve as a reviewer for major scientific journals including Elsevier, IEEE, and Oxford Computer Journal, evaluating cutting-edge AI/ML research for rigor and impact.
Lead Data Science Trainer
Just IT
- Mentored 100+ adult learners from non-technical backgrounds to build end-to-end data science projects (Python + Tableau, R + Power BI) using sample datasets structured to replicate industry workflows, supporting successful career transitions and consistently earning an average of 9/10 student ratings.
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
Originally launched a first data science course on Skillshare (2017), which was later expanded into 14 accredited offerings on Coursera as part of the Coursera Project Network, including Intermediate Pandas Python Library for Data Science and Linear Regression and Multiple Linear Regression in Julia, reaching a global learner base.
The courses were available during the contract (2020–2022) and later phased out when Coursera updated its partnerships and rotated content as part of standard licensing and business model changes.
Author
Apress
- Began preparatory research and early drafting in May 2019.
- Formal publishing contract signed July 17, 2019.
- 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 3 invited talks on Data Science and started to build a Quora Space for Data Science enthusiasts during this period.
Independent Researcher - Affiliated with Trendwise Analytics
Trendwise Analytics
- Conducted a 2-year applied R&D project during a mid-degree research break, combining design principles and early machine learning insights.
- Invented a patented Lightweight Dual-Purpose VR Headset design (2024), developed as part of user-centered R&D to validate ergonomic and aesthetic preferences in immersive hardware.
- Patent application submitted: 2018-07-20.
- Patent granted: 2024-03-14.
Summary
Top Skills: I help organizations and professionals adopt AI/ML responsibly and machine learning 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).
Open to evangelist opportunities where I can combine technical expertise with communication, training, and thought leadership.
Languages
Education
Newcastle University
Master of Science · Data Science · United Kingdom
Garden City University
Bachelor of Science, Innovation and Cross-Disciplinary Research · Fashion & Apparel Design · India
Certifications & licenses
Andrew Ng's Neural Networks And Deep Learning
Certified Peer Reviewer
Introduction To Data Science In Python And Applications
Multi AI Agent Systems With crewAI
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