A Highly-motivated Data Scientist from Indonesia who is currently into NLP.
Hi, I am Louis' personal AI assistant. I am built on top of the pre-trained USE-lite model for QnA task from TensorFlow-js. Please ask me anything about him with a complete sentence (e.g: "Where does he live now" not "location") and I'll try my best to answer your queries :)
Intro
Three words for Louis: strong-willed, fast-learner, effective.
Louis Owen is a Data Scientist who always hungry for new knowledge. He pursued a Mathematics major at one of the top universities in Indonesia,
Institut Teknologi Bandung, under a full final-year scholarship.
Recently, in July 2020, he was just graduated from his study with honours.
Louis is an NLP Enthusiast who is also familiar working with tabular and image data as well. Louis has experienced as an analytics / machine learning intern in various field of industry, including OTA (Traveloka),
e-Commerce (Tokopedia),
FinTech (Do-it),
Smart City App (Qlue Smart City).
Currently, Louis is working as a Data Science Consultant at The World Bank.
What they said about Louis
Working in the same team with Louis is awesome and memorable, as stated by his colleagues.
A Life Outside of Work
Louis loves to spent his spare time doing his hobbies:
watching movies, conducting side-projects, and writing articles.
He also loves to give back to the community by sharing his experiences and knowledge.
Finally, Louis loves to meet new friends!
So, please feel free to reach him out if you have any topics to be discussed.
Python, Tableau, SQL, R, Git, Docker, Design Thinking, AWS EC2, Google Data Studio, Matlab, SPSS
Working Experiences
Data Science Consultant - The World Bank
Apr 2020 - Present
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 through social media (Twitter and Instagram) using the word-embedding approach
Developing a misinformation detection end-to-end pipeline based on Twitter and Instagram data
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
publications
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]
Education
Bandung Institute of Technology
Bachelor of Science - Mathematics | GPA: 3.92/4.00 (Cumlaude)
Honours and Awards
Scope
Description
Rank
National
Data Analytics Competition FIND IT 2019
held by Gadjah Mada University
1st Winner
International
Hack Asia “Know Your Data, Know Your
Customer” Data Hackathon held by Jardines Matheson
Runner Up
International
EY NEXT WAVE Data Science Challenge
held by Ernst & Young
Country Finalist
University
Most Outstanding Student in First Year
-
University
Dean’s List Awardee from the First until Last Semester
-
National
Grab Tech Future Leader Awardee: A tech future leader program held by Grab
Indonesia with only around 2% acceptance rate
-
University
Tokopedia Scholarship Awardee: Full tuition fee, monthly allowance, graduation
allowance, and book allowance for 1 year with
only around 4% acceptance rate across Indonesia (the only awardee in his university)
-
Organizational Experiences
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
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?
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.
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?
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
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!
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
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
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.
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?
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!
(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 (India): "Ultimate Guides to Kickstart your Data Science Journey". [Delivered in English]
This is bold and this is strong. This is italic and this is emphasized.
This is superscript text and this is subscript text.
This is underlined and this is code: for (;;) { ... }. Finally, this is a link.
Heading Level 2
Heading Level 3
Heading Level 4
Heading Level 5
Heading Level 6
Blockquote
Fringilla nisl. Donec accumsan interdum nisi, quis tincidunt felis sagittis eget tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan faucibus. Vestibulum ante ipsum primis in faucibus lorem ipsum dolor sit amet nullam adipiscing eu felis.
Preformatted
i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';
