CS3244: Machine Learning, NUS

18/10/2024

Job opportunity from an alumnus of CS4248 Natural Language Processing:

DataFox Project Opportunity
Description
This is a part-time project opportunity for students to gain experience in Data Science and Machine
Learning. DataFox is an ongoing project by Synergy Marketing Technology Limited based in Hong
Kong. We are a data-driven marketing agency helping real estate agencies generate high-quality
leads. DataFox is a new project initiative that aims to develop a residential real estate metasearch
engine as a service for consumers to evaluate the best valuation and real estate agents to gain
reliable comparable and increase transparency.
The project has 2 components, 1) Creating a listing matching algorithm between multiple listing
services and 2) Build an internal Automated Valuation Model on listings.
The selected candidate will also be sponsored access to a Master’s Level course in “Applying Data
Science and Machine Learning to Real Estate” to assist with training for this project.
https://propertyquants.com/training/
Responsibilities
• Data cleaning and preparation of scraped listings in database
• Address listing matching algorithm
• Build an accurate Automated Valuation Model
• Communicate and present progress and difficulties with Team Lead and Data Science
Consultant
Requirements
• Currently doing a Bachelor’s in Computer Science, Business Analytics preferably Y2 or Y3.
• Strong practical Machine Learning with understanding of Linear Regression, Decision Tree
Methods such as RandomForest, AdaBoost, XGBoost.
• Proficient in Python with competency in packages such as Numpy, Pandas, Scikit-Learn,
StatsModels.
• Proven internship experience or projects in Machine Learning.
• Willingness and ability to quickly learn new concepts. (Will be required to study given
materials independently)
Bonus
• Having completed following coursework: Calculus, Linear Algebra, Regression Analysis,
Machine Learning.
• Knowledge of Web Scraping, Time Series Forecasting, Geospatial Analysis.
• Knowledge of Real Estate market.
Rate: SGD 35 per hour
Estimated Commitment / Workload: 6-8hr per week. 1hr per week for weekly meeting.
Interested candidates, please send your CV (1 page), Cover Letter (50 words, short description of
your interest and experience) and Unofficial Transcript. (There is no GPA cutoff, this is to see your
coursework and how you did in selected and relevant courses) to [email protected]. Please title
the email, ‘DataFox Application’.
Shortlisted candidates will have to complete 1 interview that will involve technical questions and
assess candidate fit with the project.

PropertyQuants is bringing quantitative investment strategies to real estate. We harness data at scale, to find the best investments globally.

28/01/2023

Forwarded Public Service Announcement from our friends at DSTA.

Dear Innovators,

Intelligence operatives work with massive amounts of data from multiple sources, and organizing and preparing it can be incredibly difficult. When analyzed properly, this data can provide key insights, patterns, and signals that can be used in defence and intelligence analysis.
We want see your skills and solutions for automated data ingestion that can remain agnostic to the different types of data schema, type, and format.

Award pool: $60,000 USD to be distributed
Pitch event: Held in Singapore in 2023 for the top 3 solutions
Deadline: Solutions must be received by 11:59 PM (US Eastern) on 31 January 2023

This opportunity is being offered by a partnership comprising the United States Irregular Warfare Technical Support Directorate (IWTSD), Singapore’s Defence Science Technology Agency (DSTA), and ST Engineering to help advance systems for data and intelligence. We have partnered with Wazoku, a UK-based innovation company, to host the crowdsourcing Challenge and all the details for how to enter.
Keen to learn more about the opportunity? Visit Wazoku’s Challenge Center to find out more today!

Discover the Challenge!
https://challenge-center.community.wazoku.com/challenge/3d4618a1f01d4017b7e4de42fa6c893f?utm_source=Company_Promotion&utm_medium=Web&utm_campaign=Data%20for%20Intelligence%20Analysis

We’re looking forward to seeing how you can revolutionize the future of data!

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Description automatically generated

The Irregular Warfare Technical Support Directorate (IWTSD) provides a forum for interagency and international users to discuss mission requirements for Irregular Warfare, prioritize those requirements, fund and manage solutions, and deliver capabilities. The IWTSD accomplishes these objectives through rapid prototyping of novel solutions developed and field-tested before the traditional acquisition systems are fully engaged. This low-risk approach encourages interdepartmental and interagency collaboration, thereby reducing duplication, eliminating capability gaps, and stretching development dollars.


Logo, company name

Description automatically generated

The Defence Science and Technology Agency (DSTA) is a top-notch technology organisation that drives innovation and delivers state-of-the-art capabilities to make the Singapore Armed Forces a formidable fighting force. Harnessing and exploiting science and technology, engineers and IT professionals at DSTA leverage multidisciplinary expertise to equip soldiers with advanced systems to defend Singapore. DSTA also contributes its technological expertise to support national-level developments. To achieve its mission, DSTA excels in systems engineering, digitalised platforms, cyber, software development and more.

In Partnership with
ST Engineering

ST Engineering is a global technology, defence and engineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and to enable a more secure and sustainable world/planet through its diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. Headquartered in Singapore, ST Engineering has more than 23,000 employees worldwide with two-thirds in engineering and technology roles.

05/11/2022

PSA (Wanting to hire) for our friends over in YLLSOM. To apply, please follow the directions on the application page.

"We are also willing to consider a Master’s degree student, who could work part time with our team while completing their degree. The main job skill required is to work with our YLLSOM education data and ALSET data to develop insights regarding hypotheses that the team constructs. They would then work with our team to analyze the data, so they would have plenty of support. They would naturally need a strong working knowledge of statistics. If you might know of someone like this, I’d greatly appreciate your letting me know."

https://careers.nus.edu.sg/job-invite/17308/

Date: 13-Oct-2022

Location: YONG LOO LIN SCH OF MEDICINE, Kent Ridge Campus, SG

Company: National University of Singapore

Job Description
This position will advance medical learning data analytics including handling of data and various digital learning resources and systems, interfacing with administrators, students and faculty members in NUSMed Dean’s Office, NUSMed Departments (eg ALCNS), NUS, NUH and NUHS, and leveraging data science to improve faculty teaching and enhance student learning experience.

Responsibilities:

Exploring learning data and various data sources, IN ORDER TO support seamless integration of data sources for the data warehouse, to meet reporting and dashboard development needs.
Supporting statistical modelling and developing performance dashboards IN ORDER TO lend actionable insights and inform on teaching and learning outcomes.
Researching, developing and applying artificial intelligence (AI) / machine learning (ML) algorithm/model/s and components IN ORDER TO improve student learning experience

Qualifications
Bachelor of Science Degree with Data Science & Analytics Focus or degree in quantitative disciplines with strong grasp of statistical modelling, eg Computing, Engineering, Mathematics
Able to work across semi-structured and unstructured data, identify linkages across disparate datasets and extract meaningful insights;
Awareness of ethical data handling and information security principles for compliant management of data;
Strong verbal and written communication skills to be able to adequately inform a non-technical audience;
Interest in education principles and pedagogies; and
Works collaboratively, experiments constantly in new approaches and iterates swiftly to advance forward
Experienced in statistical analysis, data mining, machine learning and working with large scale datasets; and
Proficiency with any of the following is a plus:
programming languages (Python/R),
database frameworks (MySQL/MSSQL, Hadoop),
visualization tools (Power BI/Qlikview/ Tableau);
Linux systems.

More Information
Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department : Dean's Office (Medicine)
Employee Referral Eligible:
Job requisition ID : 17308

Senior Learning Analytics Engineer, Dean's Office, EduTech (2-year contract)

27/06/2022

One of our alumnus, Benjamin Tan, is starting a MLOps / Data Science Meetup group. Feel free to join:

https://www.meetup.com/pro/mlops-data-science-sg/

The first few planned are going to be more MLOps-centric but they're welcoming talks from students and alumni too!

21/06/2022

Calling all current SoC students who are also CS3244 alumni:

📣 Both our IT1244-AI Technology & Impact and CS324 Machine Learning courses are looking for teaching assistants for next semester. Assistants typically teach tutorial sessions and help with grading assignments, midterms and mentoring projects.

If you are interested and applying for TA for the first time, please follow the instructions sent to you previously by Ivy Ng from SoC. This is a very IMPORTANT step to be followed for applying TA to any module in SoC. Deadline for this is 30th June.

If you have any questions, please feel free to contact Min at [email protected] (CS3244) or Prabhu at [email protected] (IT1244).