Immersed in the intersection of analytics and strategic pricing, I maintain an avid interest in building machine learning models. I am currently broadening my horizons as a student at Columbia University, engaged in an MSc in Applied Analytics. Before my academic venture, I gained valuable industry experience at L'Oréal, playing a pivotal role in the pricing and revenue optimization. In the ever-evolving realm of machine learning, I mirror its adaptability and resilience. My specific niche in pricing doesn't limit my capability; rather, it forms a foundation from which I can branch out to tackle diverse challenges across multiple fields.


Of Indonesian origin and nationality, I've also spent significant parts of my life residing in Australia and the UK. Outside of my professional and educational pursuits, I'm known to be a force to be reckoned with when I'm hungry. My scant leisure time is usually spent appreciating the great outdoors, immersing myself in books and grooving to funk music. Additionally, I'm a student of bouldering and a fervent enthusiast of circuit training workouts.

Projects

  • Image Classification with Convolutional Neural Network

    Developed three image classification models utilizing CNN, specifically leveraging the Inception V3 architecture, to handle noisy image labels in CIFAR-10 dataset, significantly improving model accuracy after label correction.

  • Machine Learning Fairness through Constrained Logistic Regression

    Examined fairness in machine learning algorithms, utilizing the Compas dataset to predict 2-year recidivism rates, and avoiding bias in sensitive attributes such as race, with constrained logistic regression(C-LR) .

  • Aristotle vs Plato: Does Everything Have to be Polarized?

    Explored the thought processes of two significant realist philosophers, Aristotle and Plato, via Natural Language Processing (NLP) applied to their individual works, utilizing techniques such as tokenization, TF-IDF for assessing word significance, and sentiment analysis.

  • Everything Good and Healthy in NYC

    Built a Shiny app (R Visualization App) to visualize restaurant inspection outcomes across New York City's five boroughs and construct interactive maps, based on NYC Open Data.

  • ETL Dashboard

    Leveraging Apache Spark, SQL and Flask, this project executes an Extract, Transform, Load (ETL) process on data from NYC Government's 311 service requests and Zillow's property listings, aiming to assist students in New York City to find suitable neighborhoods meeting their budget and convenience needs.

  • Marketing Analytics Chatbot

    Deployed python script to create a Telegram chatbot using telebot package to provide marketing insights towards marketing campaign. Leveraging Heroku and use Flask to set up the backend application.

Professional Experiences

  • FreshDirect - Pricing Analytics Intern

    Worked in automating the weekly dashboard maintenance using PowerBI, SQL, and Python. Conducted comprehensive competitor pricing assessments and pricing optimization to ensure our pricing strategies were competitive in the market.

  • L’Oreal - Commercial Finance Manager

    Primarily responsible for executing financial planning and analysis (FP&A), and optimizing pricing for offline channels and skincare brands. Spearheaded strategic pricing initiatives such as discounting, couponing, and bundling. Implemented and managed cloud-based financial closing tools using Blackline (IBM Software) and developed a pricing simulation dashboard to calculate P&L statements on a product/SKU level.

Interested in Collaboration?

Should you have an intriguing project, ideas, or things to discuss, don't hesitate to drop me an email. :)