Full time Equity Investor| Ex Associate Director - Program, Learning Experience | Unacademy | Ex- upGrad | Ex- Mu Sigma
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I’ve worn many hats Associate Director of Strategy at Unacademy, growth and data roles at upGrad and Mu Sigma and today, I wear just two: full-time trader and part-time comic. Markets are where I apply logic. Stand-up is where I question it. If you're building in edtech, tracking momentum in the markets, or just enjoy intelligent conversation with a side of humor, let’s connect.
SRM IST Chennai
B. Tech CSE, Computer Science
January 1, 2011 – January 1, 2015
Delhi Public School
Higher Secondary , Physics , Chemistry and Mathematics
January 1, 1996 – January 1, 2011
Stock Market
Full Time Equity Investor and Trader
November 1, 2022 – Present
Anywhere I Wish From · On-site
Unacademy
Associate Director - Program, Learning Experience
January 1, 2022 – October 1, 2023
Bengaluru, Karnataka, India
upGrad
Program Manager, Data Science/Machine Learning Outcomes
April 1, 2020 – January 1, 2022
upGrad
Content Strategist II - Machine learning
July 1, 2019 – April 1, 2020
upGrad
Content Strategist - Machine Learning / Data Science
January 1, 2018 – June 1, 2019
ETP Group
Associate Machine Learning Consultant
May 1, 2017 – December 1, 2017
Mumbai Area, India
Mu Sigma Inc.
Trainee Decision Scientist
July 1, 2015 – April 1, 2017
Bengaluru Area, India
The Persuasion Code: The Neuroscience of Sales
June 24, 2026 – Present
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Importing Data in Python (Part 2)
DataCamp
June 24, 2026 – Present
5.Machine Learning Foundations: A Case Study Approach
University of Washington
June 24, 2026 – Present
6.Deep Learning in Python
DataCamp
June 24, 2026 – Present
8.Introduction to Data Science in Python
University of Michigan - School of Information
June 24, 2026 – Present
Problem Solving Techniques
June 24, 2026 – Present
Sales Foundations
June 24, 2026 – Present
Supervised Learning with scikit-learn
DataCamp
June 24, 2026 – Present
Importing Data in Python (Part 1)
DataCamp
June 24, 2026 – Present
Python Data Science Toolbox (Part 2) Course
DataCamp
June 24, 2026 – Present
Pandas Foundation
DataCamp
June 24, 2026 – Present
7.Cleaning Data in Python
DataCamp
June 24, 2026 – Present
Intermediate R
DataCamp
June 24, 2026 – Present
Introduction to R
DataCamp
June 24, 2026 – Present
10.Intro to Python for Data Science
DataCamp
June 24, 2026 – Present
9.Introduction to Python & Machine Learning
DataCamp
June 24, 2026 – Present
3.Machine Learning: Classification
University of Washington
June 24, 2026 – Present
Leading and Motivating People with Different Personalities
June 24, 2026 – Present
Leading Organizations: Ten Timeless Truths (getAbstract Summary)
June 24, 2026 – Present
Be the Manager People Won't Leave
June 24, 2026 – Present
People Analytics
June 24, 2026 – Present
The Six Biases of Decision-Making
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
2.Machine Learning: Clustering & Retrieval
Coursera
June 24, 2026 – Present
Leadership Mindsets
June 24, 2026 – Present
4.Machine Learning: Regression
University of Washington
June 24, 2026 – Present
Sheryl Sandberg and Adam Grant on Option B: Building Resilience
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
1. Machine Learning Specialization
Coursera
June 24, 2026 – Present
Python Data Science Toolbox (Part 1) Course
DataCamp
June 24, 2026 – Present
Intermediate Python for Data Science
DataCamp
June 24, 2026 – Present
Machine Learning with the Experts: School Budgets
DataCamp
June 24, 2026 – Present
Unsupervised Learning in Python
DataCamp
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse career path, moving from a Decision Scientist role to program management and content strategy, and then to equity investing. This demonstrates adaptability and a broad interest in different domains. The extensive list of certifications in data science and machine learning indicates a strong drive for self-improvement and a passion for the field, which aligns well with a learning-oriented culture. However, the recent shift to full-time equity investing and the lack of recent hands-on data analysis projects might suggest a potential misalignment with a purely technical, hands-on Data Analyst role, leaning more towards strategic or managerial aspects of data.
Soft Skills & Operational Fit
The candidate's experience in program management and content strategy suggests strong organizational, communication, and leadership skills. Their role as a 'Decision Scientist' at Mu Sigma indicates an ability to translate complex data into business insights. The certifications in 'Leadership Mindsets' and 'Problem Solving Techniques' further support a proactive approach to professional development in soft skills. However, direct evidence of operational fit for a pure Data Analyst role (e.g., hands-on data pipeline management, specific tool proficiency beyond Python/R basics) is limited in the provided experience descriptions.