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Preparing for AIGP/ RAI/ AAIA/ ISO 42001 LI/LA? Let’s Connect | 4k+ Learners | AIGP Course- Top 3% on Udemy | Public Speaker & Executive Coach | AI Literacy & AI Governance Training for Individuals & Enterprises
Thanks for stopping by. You’ve already taken time out of your busy day to read this- let’s make it worth every second. At 33, this is the 12th year of my life in the field of AI. -That’s over a decade dedicated to designing, developing & assessing Machine Learning, Deep Learning & Generative AI Based Solutions. It’s also the 7th year of my journey in Responsible AI and AI Governance. -Over 20% of my life focused on democratizing AI governance. Still reading? Let’s add more value to your time. 👉 Fast forward from when I was overwhelmed, stuck, and unsure of where to begin... I’ve transformed from struggling to find space in AI governance to becoming a globally recognized expert in AI Governance. I’ve spent: 7 years in Responsible AI, assessing 1,000+ Generative & Agentic AI use cases. 5+ years in AI development, realizing I was meant to be on the other side of the world- advocating for safer AI practices. 👉 And then, I took a leap, just after passing the prestigious AIGP (by IAPP), RAI (by GARP), AAIA (by ISACA) & ISO 42001:2023 Lead Auditor Certification Exams: I started my own venture, The School of Responsible AI (SoRAI), to help others become leaders in this evolving space. At SoRAI, I’ve guided 4k+ professionals across 85 countries on AI Safety through my- -Hyper-personalized & customized training sessions -Bi-weekly newsletter focused on AI Breakthroughs, Ethics & Academia -Digital Library of AI Governance Resources -Exam Study Groups and online communities -Highly Curated Job postings 👉 If that’s not enough, I’ve: -Hosted AI Literacy & AI Governance courses on Udemy (2x Highest Rated) -Been recognized as a LinkedIn Top Data Science Voice- thrice. -Honored as One of India's Top Icons by Business Talkz-twice -Been invited to speak at the Leadership Dialogue on Education & Future Skills under Delhi Grind, hosted at NSUT and led by
Northwestern University - Kellogg School of Management
Kellogg Executive Education, Leading with Analytics & Artificial Intelligence
July 1, 2021 – October 1, 2021
National Institute of Technology Kurukshetra
Bachelor of Technology (BTech), Electrical Engineering
January 1, 2010 – January 1, 2014
AIteracy
Managing Partner
June 1, 2025 – Present
Gurugram, Haryana, India · Remote
School of Responsible AI (SoRAI)
Founder
December 1, 2024 – Present
India · Remote
Accenture
Generative AI Lead | RAI India Team
May 1, 2023 – December 1, 2024
The Responsible AI Digest by SoRAI (School of Responsible AI)
Editor in Chief
April 1, 2023 – Present
New Delhi, Delhi, India · Remote
Accenture
Data Science Principal
July 1, 2022 – June 1, 2023
Accenture
Data Science Manager
November 1, 2021 – August 1, 2022
Accenture
Data Science Consultant
June 1, 2019 – November 1, 2021
Accenture
Data Science Analyst
July 1, 2018 – May 1, 2019
Quantiphi, Inc.
Decision Science Analyst
November 1, 2015 – June 1, 2018
Mumbai Area, India
Samsung Engineering
Electrical Design Engineer II
July 1, 2015 – October 1, 2015
Samsung Engineering
Electrical Design Engineer I
July 1, 2014 – June 1, 2015
Responsible AI- Algorithmic Assessment
March 1, 2020 – Present
-Involves research and applied work in the field of- Fairness, Accountability, Transparency and Ethics (FATE) in AI. -Contributed in the development of a technical evaluation called 'Algorithmic Assessment' that helps identify and address potential risks and unintended consequences of AI systems across your business, to engender trust and build supportive systems around AI decision making.
New Workforce Solutions
July 1, 2019 – January 1, 2020
New Workforce Solutions help clients strategize for growth with new sourcing and skilling insights extending beyond their enterprise data. Solutions try to achieve : •What tasks and occupations will go away due to the impact of automation. •What career transition options exist & what are the corresponding new skills to be acquired. •How can those skills be obtained: buy, build, borrow based on the skills pathways, etc. Contributed in the enhancement of product by 1) Exploring & implementing new APIs to fetch granular job descriptions data 2) Automating and optimizing the current code pipeline.
Coal Pilferage Detection- Video Analytics
May 1, 2019 – July 1, 2019
The end objective is to train a binary classification model on the coal surfaces (extracted from the instance segmentation model) to differentiate between Untampered Coal Surface vis-à-vis Pilferage Surfaces. Developed video analytics capability for one of the top steels producing companies globally to help them derive insights from closed-circuit television (CCTV) footage of their coal transporting wagons. • Used Computer Vision algorithms to identify cases of coal pilferage along with level of severity (low/medium/high) for the purposes of client’s internal auditing and reporting to stakeholders. • Deployed an end-to-end model at a cloud server which takes direct inputs from CCTV cameras and flags the wagons corresponding to cases of pilferage, generating a report of all such cases. Also, built a novel MOPT (Moving Object Position Tracker) to track movements.
Engineering Data Digitization (EDD)
November 1, 2018 – April 1, 2019
Engineering Data Digitization (EDD) is an Artificial Intelligence (AI)-based automated process of digitizing engineering documents like P&ID’s, PFD’s, E&IC’s and Isometrics and integrating them to create a knowledge graph. This achieves digital orchestration between assets, processes, and systems, creating the foundation for Digital Twin. Primary role: Using computer vision techniques to convert Unstructured Documents & Siloed Data to Structured Data which leads to Advanced Asset Insights & Knowledge Graph. Techniques used- Tensorflow Object Detection Built deep learning models to extract text and symbols from engineering drawings. Lead the entire effort of symbol detection and achieved close to 100% accuracy. EDD got patented in October’19.
SME Support & In-house Training on Big Data Analytics for America’s leading Insurance Group
June 1, 2017 – January 1, 2018
About the Client: • Client is one of the Fortune 500 companies that offers a wide range of insurances to its customers. They are committed to providing broad, useful and competitively-priced insurance products and services to meet their customers' ever-changing needs. Business Problem: To build a Customizable Centralized Data Platform on Cloud that caters to the following: • Create Analytic apps that can analyze data of any type, any size and any frequency • Visualize and understand data in real time in an environment that is self-learning and evolving • Shop for and build self-service analytic apps in an iterative fashion • Trust insights that are traceable, contextual, actionable and secure My Contribution: Conducted Trainings and provided Consulting support to a team of 50+ Data Scientists in Boston for 2 months around Big Data and Deep Learning.
Natural Image Object Detection
March 1, 2017 – May 1, 2017
About the Client: • Client is a multinational beverage corporation, and manufacturer, retailer, and marketer of nonalcoholic beverage concentrates and syrups. Business Problem: • To be able to classify the images uploaded by the user on the web service as a valid or non-valid image. • Once identified as a Valid image, to be able to classify it amongst a specified number of classes.
Pincode Recognition For Proof Of Purchase
November 1, 2016 – February 1, 2017
About the Client: Rank : Fortune 100 Size : 80,000+ employees Location : Atlanta, Georgia Industry : Food & Beverages Problem Context: Client had launched a loyalty reward redemption program, in which customers had to manually enter 14-character pin codes printed inside their purchased beverage’s bottle caps into a mobile device. Client wanted to eradicate this manual data entry process and aspired to enhance the end consumer experience by building a swift image scanning solution. Challenges: -Non-standard fonts on the bottle caps -Synthetic data generation for varying lighting, scales, rotations, tilts, modes -14^20 possible character combinations -Small model size needed to help fit on edge devices Solution: Developed a custom computer vision solution which enabled customers to easily scan their bottle cap on the mobile app, accurately processing the pin code with sub-second response time for both Android and iOS devices. This saved the company millions of dollars by avoiding the requirement to update printers in production lines to support higher-fidelity fonts that would work with existing off-the-shelf OCR software Result -Effortless proof of purchase submission -Seamless customer experience -Greater cost savings Technologies Used -Amazon EC2 -AWS Lambda -Amazon S3 -Tensorflow -Python
Automated EDA
September 1, 2016 – October 1, 2016
Business Problem: • To develop an automated virtual machine which can ingest any type and size of data and do all the basic exploratory data analysis in an interactive note-book format.
Promotional Impact Analysis
August 1, 2016 – Present
About the Client: • The client is among the best kitchen and bath faucet brands and offers a diverse selection of thoughtfully designed faucets, showerheads, accessories, bath safety products, garbage disposals and kitchen sinks for residential and commercial applications each delivering the best possible combination of meaningful innovation, useful features, and lasting value. Business Problem: • To measure the impact of promotions on sales/demand of a consumer product. The impact of promotion will be measured in terms of the volume up-lift that product has seen due to the promotion.
Demand Forecasting
April 1, 2016 – July 1, 2016
About the Client: • The client is a diversified technology company with expertise in Healthcare equipment manufacturing. • The Sales and Operations department wants to predict quantity of orders for efficient inventory management Business Problem: • Inefficient inventory forecast technique. • Create forecast for varying products, across multiple markets catering to different currencies. • Need for a flexible model to accommodate changes in organization structure.
User friendly break-even point (BEP) Calculator
August 1, 2015 – Present
Aim: To develop user friendly tool for start-ups to evaluate absolute and monetary break even points using VBA in excel. It takes fixed costs, recurrent costs, selling price, expected rate of selling, the date when business starts as input and displays quantity, cost incurred and the date when break even occurs in a separate message box as output.
A Sneak Peek inside the Forbes list of Global 2000 Companies
July 1, 2015 – Present
Aim: To analyze Forbes list of global 2000 companies using descriptive statistics techniques in excel and R. Source: Forbes List of global 2000 companies (2014 & 2015) Country-wise, Continent-wise and Industry-wise analysis of companies; Visualizations in the world map using R. Tools Used: Excel and R
Business Plan for PepsiCo
June 1, 2015 – Present
It includes: -Competitor analysis -Environment analysis -5 Force analysis -Capability analysis -Competitive positioning
Northwestern University 101: Leading with Analytics & Artificial Intelligence
Kellogg Executive Education
June 25, 2026 – Present
Build Location Based Augmented Reality Apps with Mapbox
Udemy
June 25, 2026 – Present
Build 15 Augmented Reality (AR) apps with Unity & Vuforia
Udemy
June 25, 2026 – Present
Social Entrepreneurship by University of Pennsylvania
Coursera
June 25, 2026 – Present
Machine Learning by Stanford University
Coursera Course Certificates
June 25, 2026 – Present
Data Science with Scala
Big Data University
June 25, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 25, 2026 – Present
High-Impact Business Writing
Coursera Course Certificates
June 25, 2026 – Present
Foundations of Business Strategy
Coursera Course Certificates
June 25, 2026 – Present
RAI Certificate holder
Global Association of Risk Professionals (GARP)
June 25, 2026 – Present
Build A Multiplayer Augmented Reality (AR) Game With Unity
Udemy
June 25, 2026 – Present
Google Cloud Big Data and Machine Learning Fundamentals
Coursera
June 25, 2026 – Present
Complete Blender Creator: Learn 3D Modelling for Beginners
Udemy
June 25, 2026 – Present
Build an Augmented Reality Strategy for your Business
Udemy
June 25, 2026 – Present
Augmented Reality "Watch Try-On" app using Vuforia & Unity
Udemy
June 25, 2026 – Present
Convolutional Neural Networks
Coursera Course Certificates
June 25, 2026 – Present
Neural Networks and Deep Learning
Coursera Course Certificates
June 25, 2026 – Present
Data Manipulation in R with dplyr
DataCamp
June 25, 2026 – Present
Data Science with SAS
UNext For Enterprise
June 25, 2026 – Present
SQL
Code School
June 25, 2026 – Present
Certified ISO 42001:2023 Lead Auditor
GSDC - Global Skill Development Council
June 25, 2026 – Present
Master AI with Prompt Engineering
Udemy
June 25, 2026 – Present
Augmented Reality (AR) For Beginners: Create AR Apps Today!
Udemy
June 25, 2026 – Present
Introduction to Augmented Reality and ARCore
Coursera
June 25, 2026 – Present
Structuring Machine Learning Projects
Coursera Course Certificates
June 25, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera Course Certificates
June 25, 2026 – Present
edX Honor Code Certificate for Introduction to R
edX
June 25, 2026 – Present
The Analytics Edge
edX
June 25, 2026 – Present
Statistics for Business - I
edX
June 25, 2026 – Present
Finance for Non-Financial Professionals
Coursera Course Certificates
June 25, 2026 – Present
Artificial Intelligence Governance Professional (AIGP)
IAPP
June 25, 2026 – Present
Production Machine Learning Systems
Coursera
June 25, 2026 – Present
Discover Voice Controlled AR Apps|Unity & A Cloud Based AI ✅
Udemy
June 25, 2026 – Present
Build Your AR Portal With ARCore & ARKit
Udemy
June 25, 2026 – Present
Build 4 Augmented Reality (AR) apps with ARCORE and Unity
Udemy
June 25, 2026 – Present
Intermediate R
DataCamp
June 25, 2026 – Present
Generative Adversarial Networks (GANs) Specialization
Coursera
June 25, 2026 – Present
MLOps (Machine Learning Operations) Fundamentals
Coursera
June 25, 2026 – Present
ARKit and Unity : Build a Drivable Car in Augmented Reality
Udemy
June 25, 2026 – Present
The Ultimate Guide to Game Development with Unity 2019
Udemy
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards innovation, leadership, and continuous learning, as evidenced by their roles as Founder and Managing Partner, and their numerous certifications. Their dedication to Responsible AI and AI governance suggests a value system that prioritizes ethical considerations and long-term impact, which could be a strong cultural asset. However, the target role is 'Data Analyst', while the candidate's experience is heavily skewed towards 'Data Scientist', 'AI Lead', and 'Managing Partner' roles, which are significantly more senior and focused on advanced AI/ML development and strategy. This mismatch in role seniority and specific focus might indicate a potential overqualification or a misalignment with the day-to-day responsibilities of a typical Data Analyst role, which often involves more routine data manipulation, reporting, and dashboarding rather than advanced model development and strategic AI leadership. While the candidate possesses the foundational data analysis skills, their primary expertise and recent experience are at a much higher strategic and technical level.
Soft Skills & Operational Fit
The candidate's experience in leading teams, conducting training, and founding new initiatives (AIteracy, SoRAI) suggests strong leadership, communication, and entrepreneurial soft skills. Their focus on Responsible AI and AI governance indicates a proactive and ethical approach to technology, which aligns well with modern operational best practices. The diverse project portfolio also points to adaptability and problem-solving capabilities.