Writing
30 essays on product, fintech, AI, and life.
From Code in the Community to My Own Scratch Bootcamp: A Teaching Journey
Remember when I wrote about my experience teaching Python and Scratch to kids through Code in the Community
Cheese Cake at Rikuro Daimaru Umeda, Osaka
Cheese Cake at Rikuro Daimaru Umeda, Osaka You may have had cheese cakes
Book Recommendation #2: The Money Trap
As an engineer turned startup founder, I've read my fair share of business books, but 'The Money Trap' by Alok Sama
Book Recommendation #1: The Hard Thing About Hard Things
As an engineer turned startup founder, ' The Hard Thing About Hard Things ' by Ben Horowitz hit me like a freight train of raw, unfiltered truth about the entre
Data Visualization for AI Prototyping: How Product Managers Validate Hypotheses Quickly
Namaste 🙏 and welcome to my blog
Journey of Launching Cross Border Instant Payments
Cross Border Instant Payments 'And then what
Navigating the Autonomy Landscape: A Comparative Look at Autonomy in Product Management
Navigating the challenges of autonomy at workplace As I have grown in my career, I have experienced different forms of autonomy
Driving Revenue Growth: How to Estimate Projected Revenue for New Features
As a Product Manager, I am responsible for estimating the revenue for the features and capabilities that I propose to be built
3 Months of Product Management - 7 Reflective Learnings!
In my last post reflecting on the year that went by, I shared that I got a new role of Data Product Manager in Citi
Reflecting on 2021 and What's new in 2022!
Well you know how much someone procrastinates, when that person writes a reflection of the past year in April of the following year
Re-Imagining Topic Modeling in NLP: A Break from Conventional Approach
I recently spoke about Contextual Topic Modeling in NLP, at Google's La Kopi event for developers
Become a Story Telling Ninja: Present Data Science Models to Stakeholders
A Data Science Ninja Over the last few years, I have presented a lot of projects involving Data Science models, Natural Language Processing to be more precise,
Machine Learning Roadmap: An Effective Guidebook for Learning Machine Learning
Sometime back, I wrote about why I have started mentoring and the scope of fields in which I am interested in mentoring
Evaluating Effectiveness of Mentorship: Open Sourcing My Framework
A while ago, I wrote about opening up my calendar for mentorship
What's This About?
I have opened up my calendar for anyone to book mentoring hours for career, university applications and other guidance
Become a Web Analytics Ninja: Analyze Bounce Rate Across Different Visitor Segments
Web Analytics This post is a digression from the other data science blogs that I have written in the past and more so, from the work that I do in my day-to-day
Speed Up Pandas Dataframe Apply Function to Create a New Column
Pandas Library Data cleaning is an essential step to prepare your data for the analysis
Collocations in NLP using NLTK Library
Collocations are phrases or expressions containing multiple words, that are highly likely to co-occur
Salads
Since quite sometime now, I have developed a new love for Salads
Saturday Kids: Code in the Community Experience
Kids of 8-10 years of age are incredibly smart who are treading high on the curve of curiosity and learning
Time Series Analysis using Pandas
Time series, a series of data points ordered in time
Handling Imbalanced Dataset with SMOTE in Python
Close your eyes and imagine that you live in a utopian world of perfect data
A Survey of API Management Platforms
In my previous blog , I discussed how I landed up interning at Dentsu
What am I doing right now? Internship.. Studies.. or Both?!
My experience of hunting for and landing an internship in Singapore
Multi Class Classification in Text using R: Predicting Ted Talk Ratings
This blog is in continuation to my NLP blog series
Emotions in Ted Talks: Text Analytics in R
This post is in continuation with my NLP blog series
Data Preprocessing in R
I have recently got my hands dirty with Natural Language Processing (NLP)
DataKind Singapore
I have recently shifted gears in my life
My learning experience with Google’s Machine Learning Crash Course
I came to know about Google’s Machine Learning Crash Course (MLCC) from Sundar Pichai’s tweet
Engineering challenges of streaming a million concurrent JSON data streams from product to CRM
At Truebil , I was fortunate enough to be given an opportunity to solve a unique engineering problem