Jude Michael Teves

Data Scientist | Machine Learning Engineer | Instructor

Biography

I am an instructor, data scientist, computer scientist, and software engineer.

How my Data Science journey began..

Even way back during my first year as a Computer Science undergraduate student, I had already developed a deep love for programming and formulating algorithms. To this day, I feel the same way. To further my understanding with more inclination towards artificial intelligence, I took up a Master’s in Data Science at the Asian Institute of Management, where I graduated as batch salutatorian with high distinction, the highest academic award.

How the journey’s been like so far..

My current work in ADB includes implementing and managing a variety of projects in the fields of computer vision, natural language processing, data analytics, and IoT as part of the innovation team. I have also been doing consultancy work, and the services I provide include developing end-to-end Machine Learning / Artificial Intelligence applications, doing geospatial analysis, creating portfolio models for the electricity market, forecasting, and identifying hidden themes/clusters in people and products.

In addition, I regularly join competitions and hackathons. I have been to many national and international competitions which aim to solve relevant issues in the society through the use of data science and software engineering. I believe that by doing this, I can turn what I have learned into something of use to our community.

What other things keep my soul on fire?

With the industry being relatively new, I feel that it’s my responsibility to share what I know with others. Because of this, I have developed a passion for teaching. During my undergraduate years, I tutor fellow students for free. I usually teach math, programming, and a bit of electronics under an organization I was a part of. Currently, I am teaching computer science and data science courses in the university to undergraduate and graduate students.

Skills: Computer Vision, Natural Language Processing, Time-Series Analysis, Forecasting, Signal Processing, IoT
Primary Tech Stack Used: Python, Tensorflow, Scikit-learn, Javascript, HTML, CSS, Flask, GCP, AWS

Interests

Artificial Intelligence
Application Development
Data Engineering
Electronics

Education

MSc in Data Science, 2019

Asian Institute of Management
BSc in Computer Science Major in Computer Systems Engineering, 2016

De La Salle University

Projects

Fake News Detector

Interactive web application classifying fake news.

Animal Crossing Turnip Analysis

Did an analysis on turnip prices in Animal Crossing New Horizons (ACNH). You’ll get Fluctuating pattern most of the time.

Power Demand Forecasting

Our thesis for the Master of Science in Data Science program.

Crowd Evacuation Dynamics

Created a cellular automata model that simulates how people evacuate in the case of a fire emergency.

Network Analysis of the Philippine Stock Market

Analyzing the PSE using network science.

Subreddit Recommender System

Recommend new subreddits.

Civilization Simulation

Created a cellular automata model that simulates how different human races propagate.

PaNet

Deep-Learning based Skin Cancer Detection

X-Ray Machine Vision

Web application for detecting cancer given x-ray images

Global Inequality Visualization

Interactive web application showing the GDP per capita in different countries.

Generating Music using AI

Generating musical notes based on preceding notes.

Identification of People’s Interests Using Emoji

Using Data Mining techniques on tweets to identify people’s interests.

LRT Buddy

Improving Train Customer Experience Through Data Science and Insights.

Donors Choose Recommendation System

Help DonorsChoose.org connect donors with projects they care about.

Sea Level Prediction

Predicting tidal range using historical data.

RECHORD

A Hardware Interface for Algorithm-based Chord Recognition.

Awards

ML HackFest 2019 Grand Champion

Senti AI, AI Pinas, Google Philippines Nov 2019 – Nov 2019

Participated in the DATOS challenge and was tasked to do semantic segmentation, which is a pixel-wise classification, on satellite images provided by DOST-ASTI (Advanced Science And Technology Institute). The aim is to identify the following classes in an image: Bare Land, Agricultural Areas, Low Density Vegetation, High Density Vegetation, Water Shadows, Urban, Clouds, and Haze. We developed a deep learning model for this, and we got 69% and 67% accuracy on 30% and 70% of the test set respectively.

Open Climate Collabathon - Community-Choice and Most Effective Hack Award

Yale University Nov 2019 – Dec 2019

Our team has created CLIMETRICS: a platform that measures companies’ carbon footprint, asset insights, stock trends, and social media impact in our efforts to promote global sustainability.

AI for Accessibility Hackathon PH - Second Place

Microsoft Philippines Oct 2019 – Oct 2019

Created a computer vision program to assist blind people in payment.

ADB-AIM Hackathon Finalist

Asian Development Bank Aug 2019 – Sep 2019

One of the Top 5 finalists in the Digital Skills category of the competition.

Break the Fake Hackathon Finalist

Break the Fake Aug 2019

Created a fake news detector application for this competition

Honor with High Distinction

Asian Institute of Management Jun 2019

Received the highest academic award in the first cohort of Master of Science in Data Science in AIM.

CGPA: 4.5 / 5.0

Dean’s Lister

Asian Institute of Management Jun 2019

Consistent Dean’s Lister throughout the Master of Science in Data Science program.

Hackatren Finalist

Light Rail Manila Corporation Philippines Jul 2018

Created LRT Buddy, an LRT chatbot, for this competition

Excellence in Tutoring and Most Active Officer

Peer Tutors Society Jul 2015

I was acting as the Vice President for External Affairs for this organization in De La Salle University.

Accenture Program the Future Finalist

Accenture Philippines May 2015

Created Phirelert, a fire incident monitoring application, for this competition

Experience

Assistant Professorial Lecturer

De La Salle University

Jun 2020 – Present Manila, Philippines

Responsibilities include:

Lectures Natural Language Processing course for Master of Science in Computer Science students.

Youth for Sustainable Cities Ambassador

MakeSense

Jan 2020 – Present Makati, Philippines

Project Lead for the event entitled Sensefiction: Cultivating the Future of the Philippines.

Emerging Technology Engineer (Artificial Intelligence / Machine Learning)

Asian Development Bank

Nov 2019 – Present Mandaluyong, Philippines

Consultant for emerging technologies specializing on Machine Learning / Artificial Intelligence.

Some notable works:

Acted as the lead data scientist for an NLP deep learning project: a lesson extraction model for the project completion reports of the Independent Evaluation Department (IED) in ADB.
Project Manager for a chatbot project.
Co-developed a facial recognition system. (Internal Project)

Instructor

De La Salle University

Nov 2019 – Present Manila, Philippines

Instructor for data science diploma courses under Data Science Institute arm of DLSU.

Data Scientist

Vivant Corporation

Jul 2019 – Nov 2019 Makati, Philippines

Data science consultant. Responsibilities include:

Portfolio Modelling
Forecasting
Application Development

Software Developer

Navitaire

Apr 2017 – Mar 2018 Makati, Philippines

Developed mobile applications for Cebu Pacific and GoAir.

Software Engineer Intern

Samsung Research and Development Institute

May 2015 – Jul 2015 Taguig, Philippines

Developed mobile applications in Tizen and Android OS.

Certificates

Databases and SQL for Data Science

Coursera Jun 2019

See certificate

Neural Networks and Deep Learning

Coursera Oct 2018