Intro

Three words for Louis: strong-willed, fast-learner, effective.

Louis Owen is a strong-willed, fast-learner, and effective Data Scientist who is always hungry for new knowledge. He is currently helping to deliver NLP solutions at Yellow.ai, a world's leading CX automation platform. He pursued a Mathematics major at one of the top universities in Indonesia, Institut Teknologi Bandung, under a full final-year scholarship.

Before joining Yellow.ai, Louis was a Data Science Consultant at The World Bank and AI Research Engineer at Bukalapak. Throughout his career journey, he worked at various fields of industry: NGO, e-Commerce, Conversational AI, OTA, Smart City, and FinTech. Please see the Resume section for more information about his experiences.

What they said about Louis

A Life Outside of Work

• Say Hi to Louis

• Download Full Resume

Googling, Python, Git, Cloud Platforms, Tensorflow, Pytorch, Tableau, SQL, R, Docker, Design Thinking, Google Data Studio, Matlab

NLP Engineer - Yellow.ai

Jan 2022 - Present

• Improving the NLP system for Indonesian language

AI Research Engineer - Bukalapak

Nov 2020 - Jan 2022

• Developed the internal financial metrics anomaly detection system which succeed to prevent 90% of future financial loss and reduce 20x false alerts compared to the previous implementation
• Developed the hierarchical multi-class text classification model (product title & search query) that succeed to outperform the previous solution by 25% while maintaining low latency
• Developed a multi-modal latent embedding generator (NLP & CV) for various downstream tasks, including but not limited to NSFW detection, search engine enhancement, product scoring, etc
• Developed the Robo advisory system that can help users’ investment decision
• Initiated and created the centralized code-blocks documentation within the Bukalapak AI team
• Actively contributed in several internal talks and external article publications

Data Science Consultant - The World Bank

Apr 2020 - Mar 2021

• As a data science short-term consultant for a COVID-19 collaboration project between The World Bank, MIT, Stanford, and Mafindo
• Developed a topic monitoring end-to-end pipeline regarding COVID-19 handling in Indonesia based on social media and news media data, which will be presented in a public website and can be used by the policymaker
• Automated the broadcast and pre-filled form for the COVID-19 survey

AI Engineer Intern - Qlue Smart City

Feb 2020 - May 2020

• Developed an age and gender image classification model using SOTA pre-trained model starting from data gathering until model optimization phase
• Developed a mask facial detection model using SOTA pre-trained model starting from data generation until model optimization phase
• Created an analysis report about Multiple Object Tracking and Human Action Recognition SOTA methods

Data Scientist Intern - Do-It

Dec 2019 - Jan 2020

• Developed a prediction model for Non-Performing-Loan with around 0.85 balanced accuracy using both internal and external data starting from data gathering until deployment phase
• Developed a segmentation and cluster prediction model which could increase the manpower efficiency and reduce around 80% of SMS notification cost for recollection phase

Lecturer Assistant - Bandung Institute of Technology

Aug 2019 - Dec 2019

• Calculus lecturer assistant for Professor Marcus Wono Setya Budhi Ph.D.
• Introduction to Computation lecturer assistant for Fajar Yuliawan, S.T., M.Si.

Data Analyst Intern - Tokopedia

May 2019 - Aug 2019

• Developed a complex rule-based segmentation algorithm of Tokopedia Buyer from the logistics side using Python, BigQuery and Tableau
• Conducted an analysis of the promo usage by Tokopedia Buyer with RFM framework and decision tree algorithm using Python and Tableau
• Created an infographic about Tokopedia Digital performance based on internal and external data

Marketing & Analystics Intern - Traveloka

May 2018 - Aug 2018

• Conducted a research about Search Engine Optimization focusing on On-Page Optimization
• Conducted a grand audit for Traveloka’s On-Page Optimization
• Benchmarked Traveloka’s On-Page Optimization with best practices and competitors
• Created a ranking formula model to forecast a potential improvement on some business aspects
• Created the operational business process for the future project

L. Owen and F. Oktariani, SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis, 2020, The 3rd International Conference on Data Science and Its Applications (ICoDSA).

[Paper ] [Video] [Code ] [PPT]

Bandung Institute of Technology

Bachelor of Science - Mathematics | GPA: 3.92/4.00 (Summa Cumlaude)

Data Science Mentor - Dibimbing.id

May 2021 - Present

• Taught 300+ students about: Data Science Portfolio 101, Python Data Types & Structures, Data Cleaning, Data Manipulation, Exploratory Data Analysis, and Hyperparameter Tuning

Guest Lecturer - Institut Teknologi Bandung

Sep 2021 - Oct 2021

• Taught 50+ Mathematics undergraduates on the Lokakarya (Workshop) class about Data Science lifecycle as well as practical Data Science knowledge through hands-on projects

Contributor - AI4Finance

Sep 2020 - Feb 2021

• As a contributor for FinRL open-source repo, a repo which provides Deep Reinforcement Learning solutions for Algorithmic Trading task.
• Contributions summary: https://github.com/AI4Finance-LLC/FinRL-Library/graphs/contributors

Data Science Mentor - Supertype

Sep 2020 - Feb 2021

• As a Data Science (NLP) mentor

General Director - Kabinet Keluarga Mahasiswa ITB

Mar 2018 - Apr 2019

• As General Director of Research and Development at Ministry of TPB students’ Character Development
• Lead the team consisting of 5 members and designed the framework for TPB students’ character analysis
• Analysed and created a report based on 4000 row of data gathered from the questionnaire

Chief - HIMATIKA ITB’s April Graduation’s Ceremony

Jan 2018 - Apr 2018

• An annual event held by HIMATIKA ITB to appreciate their graduates
• Lead 12 executive board member consisting of 63 members with only 2 months’ preparation
• Monitor all 12 divisions to make sure everything completed on time
• Design the concept and theme for the graduation ceremony

Curator Team - TEDxITB 2.0

Mar 2018 - May 2018

• TEDxITB aims to be one of the most established of the independently organized TEDx communities in Indonesia
• As PIC for SpeakUpxITB (TEDxITB 2.0 pre-event), who responsible for making the speaker assessment guide
• As Mr Salman Subakat, CMO of PT Paragon Technology and Innovation, LO at the day of the event

Participant - StudentsCatalyst

Mar 2018 - May 2018

• StudentsCatalyst is a student-led initiative that provides incubator from top performer individual to gather, share, and inspire each other
• As a participant of StudentsCatalyst Batch 5 Chapter Bandung which selected from around 200 applicants
• As the head of GEMESH (Gembira Bersama Sampah), which is a social project held by his team and awarded as the Best Project in his batch

Event Team - TEDxITB

Mar 2018 - May 2018

• TEDxITB aims to be one of the most established of the independently organized TEDx communities in Indonesia
• Fulfilled logistic needs for TEDxITB event and become one of the event’s PIC at the day of the event
• Selected to become 1 of 10 volunteers from around 300 applicants

Bahasa Indonesia - Native Proficiency

English - Professional Working Proficiency

• Download Full Resume

projects

Louis' Personal AI Assistant

• Article

• The initiation of this project is motivated by a simple question comes to Louis' mind: My portfolio seems too static. What should I do to make it more interactive and fun while also applying my NLP knowledge on it?
• 980+ supports from the LinkedIn Community

NLP Bahasa Indonesia Resources

• Repository

• A repo which provides link to almost all useful dataset and usable library for NLP in Bahasa Indonesia can be found in the internet
• 500+ supports from the LinkedIn Community and ~100 GitHub Stars
• The initiation of this project is motivated by the very low and scattered resources for NLP in Bahasa
• Hopefully, after the initiation of this project there will be more and more resources for NLP in Bahasa

Quora Paraphrasing Data Bahasa Indonesia Version

• Repository
• Kaggle Dataset

• A dataset that contains >150k question pairs from First Quora Dataset Release: Question Pairs which marked as duplicates, protected by Terms of Service.
• This dataset is translated from English to Bahasa Indonesia using Google Translate API.
• The motivation of this project is to enrich the collection of Indonesian NLP corpus

Plagiarism Detection System

• A local plagiarism detection system for Bahasa Indonesia.
• Responsible for building the whole end-to-end pipeline, starting from the data gathering, training data generation, model training & evaluation, deployment code refactor, visualization, and documentation.
• This is a collaboration project with one of Indonesian ed-tech start up, Practisee.

Customizable Real-time Dashboard to Monitor Your Google Form Responses

• Article
• Repository

• In this article, Louis gives a detailed step-by-step tutorial on how to visualize real-time Google Form responses in Streamlit dashboard, starting from importing responses in google sheets until the deployment of the dashboard.
• Featured in Towards Data Science
• 280+ claps from the Medium reader
• 130+ supports from the LinkedIn Community

Semi-supervised Intent Classification with GAN-BERT

• Article
• Repository

• The initiation of this project is motivated by a simple question comes to Louis' mind: Is it possible to do text-classification with 150 target classes using only 10 labelled samples for each class but still get a good performance?
• 200+ claps from the Medium reader
• 100+ supports from the LinkedIn Community

SENN: Stock Ensemble-based Neural Network

• Paper
• Repository
• Video
• PPT

• His first publication entitled SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis presented at The 3rd International Conference on Data Science and Its Applications which will be indexed in IEEE soon
• First Author: Louis Owen | Second Author: Finny Oktariani

NLP Book Summary

• PDF

• Summary of "Neural Network Methods for Natural Language Processing" by Yoav Goldberg and "Deep Learning" by Ian J. Goodfellow
• Louis created this book summary for his undergradute thesis and he thought it will be useful for many people so he share this to the LinkedIn Community
• 300+ supports from the LinkedIn Community

Powerful Packages to Boost your Exploratory Data Analysis Performance

• Article
• Repository

• In this article, Louis introduced 3 awesome free packages which can generate an HTML report comprises various kind of EDA, in just a couple lines of Python code!
• Featured in Medium
• 60+ claps from the Medium reader

Mosaic Image Generator using Python

• Article
• Repository

• A repo which provides the code to generate mosaic image from scratch using Python
• 120+ supports from the LinkedIn Community
• All of the algorithm and code are built by Louis from scratch

Instant Data Report

• Repository

• A repo which provides the code to generate instant data report using an R package called Data Explorer which is executed in Python using the help of RPy2
• 100+ supports from the LinkedIn Community

Mortality Rate Prediction based on Age and Cigarette Types in Canada

• Repository

• Mortality Rate Prediction based on Age and Cigarette Types in Canada using Generalized Linear Model for Count Data
• This is one of Louis' tasks in GLM class he took during his study at Bandung Insitute of Technology

Flight and Hotel Cross Selling Prediction

• Repository

• This is a collaboration project between Louis Owen, Vinson Ciawandy and Evan Martua
• Given the flight and hotel transaction history data, they try to predict the flight and hotel cross-selling in one of the biggest ticketing company in Indonesia

Cloud-Python

• Repository

• A tutorial on how to use Google Colab and sending email notification from Python

Using R in Python with RPy2

• Repository

• A tutorial on how to use R in Python with RPy2

• Follow Louis in GitHub

Blog

Introducing AI-Powered Portfolio

• In this article, Louis gives a detailed step-by-step tutorial on how to build a personal AI assistant.
• 150+ claps from the Medium reader
• 130+ supports from the LinkedIn Community

Semi-supervised Intent Classification with GAN-BERT

• The initiation of this project is motivated by a simple question comes to Louis' mind: Is it possible to do text-classification with 150 target classes using only 10 labelled samples for each class but still get a good performance?
• 200+ claps from the Medium reader
• 100+ supports from the LinkedIn Community

Time Series Anomaly Detection: Simple Yet Powerful Approaches

• In this article, Louis shared several simple yet powerful approaches to detect anomaly in time-series data that is not usually discussed in many articles.
• 200+ claps from the Medium reader
• 150+ supports from the LinkedIn Community

The Art of Hyperparameter Tuning in Python

• In this article, Louis shared 6 useful hyperparameter tuning methods in one place along with the guideline on when to use each of them.
• Featured in Towards Data Science
• 100+ claps from the Medium reader
• 160+ supports from the LinkedIn Community

One Easy Way to Develop Your Own Chatbot

• In this article, Louis shared a step-by-step tutorial on how to build a chatbot with RASA.
• 75+ claps from the Medium reader
• 45+ supports from the LinkedIn Community

Customizable Real-time Dashboard to Monitor Your Google Form Responses

• In this article, Louis gives a detailed step-by-step tutorial on how to visualize real-time Google Form responses in Streamlit dashboard, starting from importing responses in google sheets until the deployment of the dashboard.
• Featured in Towards Data Science
• 280+ claps from the Medium reader
• 140+ supports from the LinkedIn Community

How to Customize Your Pre-Filled Google Form using Python

• In this article, Louis shared his knowledge on how to create pre-filled Google Forms automatically and how to blast them to your target respondents’ email using Python.
• 200+ claps from the Medium reader
• 100+ supports from the LinkedIn Community

Powerful Packages to Boost your Exploratory Data Analysis Performance

• In this article, Louis introduced 3 awesome free packages which can generate an HTML report comprises various kind of EDA, in just a couple lines of Python code!
• Featured in Medium
• 60+ claps from the Medium reader

How to Build a Mosaic Image Generator from Scratch

• In this article, Louis gives a detailed step-by-step tutorial on how to build a mosaic image generator from scratch.
• 300+ claps from the Medium reader
• 120+ supports from the LinkedIn Community

Invitation to All Aspiring Reinforcement Learning Practitioner

• In this article, he shared the Introduction to RL in an interesting and fun way!
• 380+ claps from the Medium reader
• 130+ supports from the LinkedIn Community
• Through this article, Louis invited all aspiring Reinforcement Learning (RL) practitioner to learn RL together with him in 3 months.

Reinforcement Learning in Autonomous Race Car

• In this article, he shared one of the applications of RL, AWS DeepRacer.
• 75+ claps from the Medium reader
• 110+ supports from the LinkedIn Community

Bird’s-Eye View of Reinforcement Learning Algorithms Taxonomy

• In this article, he shared about the taxonomy of Reinforcement Learning algorithms.
• 235+ claps from the Medium reader
• 76+ supports from the LinkedIn Community

• Follow Louis in Medium

Recent Talks

• (Dec 11, 2021) Speaker at Twitter Developer Meetup 2021 (Bangladesh): AI Implementation in Industry. [Delivered in English]
• (Dec 4, 2021) Speaker at Gunadharma University Google Data Science Club: Deep Dive into Real World Machine Learning. [Delivered in Bahasa Indonesia]
• (Nov 27, 2021) Speaker at Ahmad Dahlan University Data Science Public Lecture: Mathematics and Data Science for a Better Indonesia. [Delivered in Bahasa Indonesia]
• (Nov 20, 2021) Speaker at ITB University AI Center of Excellence: How Bukalapak Utilizes Artificial Intelligence. [Delivered in Bahasa Indonesia]
• (Oct 07, 2021) Speaker at ICoDSA 2021 Workshop: The Importance of Data Preparation in Industry. [Delivered in English]
• (Oct 03, 2021) Speaker at Talent Growth: How to Learn Data Science Effectively. [Delivered in Bahasa Indonesia]
• (Oct 02, 2021) Speaker at Studium Generale Universitas Diponegoro: Mathematics in Real World. [Delivered in Bahasa Indonesia]
• (Sep 16, 2021) Speaker at Glints Expert Class: How to Create a Marketable Data Science Portfolio. [Delivered in Bahasa Indonesia]
• (Sep 04, 2021) Speaker at Datapath: Exploratory Data Analysis in Python. [Delivered in Bahasa Indonesia]
• (Aug 29, 2021) Speaker at COMPFEST UI 13: Getting Started with Hyper-parameter Tuning in Machine Learning. [Delivered in Bahasa Indonesia]
• (Aug 27, 2021) Speaker at Bitlabs: How to Become Data Scientist with No IT Background. [Delivered in Bahasa Indonesia]
• (Aug 14, 2021) Speaker at Miloo: Indonesia Daulat AI "Ekosistem Tangguh, SDM Tumbuh". [Delivered in Bahasa Indonesia]
• (Jul 31, 2021) Speaker at Universitas Brawijaya: Tips & Tricks to Kickstart Your Data Science Journey. [Delivered in Bahasa Indonesia]
• (Jun 19, 2021) Speaker at She Loves Data: Automating Supervised Machine Learning Pipelines in Python. [Delivered in English]
• (May 16, 2021) Speaker at dibimbing.id: Data Science Portfolio 101. [Delivered in Bahasa Indonesia]
• (Apr 22, 2021) Speaker at Purwadhika Digital Technology School: Ultimate Career Guides as Data Scientist. [Delivered in Bahasa Indonesia]
• (Dec 18, 2020) Speaker at Universitas Pendidikan Indonesia: Tips & Tricks to Kickstart Your Data Science Journey. [Delivered in Bahasa Indonesia]
• (Oct 17, 2020) Speaker at DPhi: Automating Supervised Machine Learning Pipeline in Python. [Delivered in English]
• (Oct 10, 2020) Speaker at MindHack Summit (India): "Recipes to 'Boost' your Data Science Journey". [Delivered in English]
• (Oct 3, 2020) Speaker at PyData Pune (India) Chapter: "Combining the Power of Historical Stock Data, the Wisdom of Crowds, and the Advance of Deep Learning in Stock Market Prediction". [Delivered in English]
• (Sep 5, 2020) Speaker at Jakarta Machine Learning: "Stock Market Prediction using Historical Stock Data and Sentiment Analysis". [Delivered in English]
• (Sep 4, 2020) Speaker at Quantum.ai (Bangladesh): "Ultimate Guides to Kickstart your Data Science Journey". [Delivered in English]
• (Aug 22, 2020) Speaker at FOKUS HIMATIKA ITB 2020: "Tips & Tricks to Kickstart Your Data Science Journey". [Delivered in Bahasa Indonesia]
• (Aug 15, 2020) Speaker at Make Africa Tech Challenge: "Opportunities in Data Science: How to Kickstart it". [Delivered in English]
• (Aug 6, 2020) Presenter at The 3rd International Conference in Data Science and Its Applications: "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis". [Delivered in English]
• (July 31, 2020) Speaker at Stada Talks: "Life as a Data Scientist". [Delivered in Bahasa Indonesia]
• (July 19, 2020) Speaker at the Graduation Day held by his Mathematics Union (HIMATIKA ITB). [Delivered in Bahasa Indonesia]

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';