Manh Nguyen Email & Phone Number
Who is Manh Nguyen? Overview
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Manh Nguyen is listed as Data Science Mentor at CoderSchool (IT W21), based in Hanoi, Hanoi, Viet Nam. AeroLeads shows a matched LinkedIn profile for Manh Nguyen.
Manh Nguyen previously worked as PHD Student at A2I2 Applied Ai Institute and Data Scientist at Xpon Technologies Group (Asx:Xpn). Manh Nguyen holds Bachelor'S Degree, Electronics And Communications Engineering from Hanoi University Of Science And Technology.
Email format at CoderSchool (IT W21)
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About Manh Nguyen
I am pursuing my PhD at Applied Artificial Intelligence Institute (A2I2), Deakin University, Australia. My research focuses on explainability of large language models, including hallucinations and fine-tuning techniques.Before that, I have spent 5 years applying machine mearning to solve data dcience problems in the industrial fields such as martech, fintech, and natural language processing. I am skilled in both data engineering and applying machine learning/deep learning models. Furthermore, I am certified by Google Cloud as a professional data engineer and machine learning engineer.In addition to my full-time job, I also spend time teaching and mentoring students, and working on side projects in Data Science.
Listed skills include Matlab, Python, Natural Language Processing, Research, and 12 others.
Manh Nguyen's current company
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Manh Nguyen work experience
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Data Science Mentor
CurrentHelp 20+ students learn Data Science courses in a better way based on my experience and best practices. The data science courses last 6 months, organized in the form of 1 mentor supporting 1 mentee to build skills related to Python, SQL, pandas, data visualization and practical data analysis projects.
Data Scientist
- My work focuses on developing the Data Science portion of Wondaris (a Customer Data Platform product)
- Identity Resolution. Design and implement solutions for incremental and batch matching CDP, which uses a deterministic matching approach.
- End-to-end Machine Learning. Leverage Google Cloud to build end-to-end solutions for Machine Learning problems (from processing data, suggesting features to training, evaluating, predicting and monitoring ML models).
- Automate feature suggestion. Build a solution that automatically suggests the best features based on clients' input configuration. In addition to meeting many different types of models (classification, regression).
- Others. Support customers to debug, suggest improvements as well as participate in solution design for new features related to data science (e.g. RFM).
Senior Data Scientist
- My work focused on building data warehouses and solving data science problems of VinHomes (a subsidiary of Vingroup).
- ETL data. Ingest and cleanse data from different sources of VinHomes then build corresponding data warehouse
- Reporting. Build analytical reports about customer segmentation based on purchasing behaviors/objectives and data quality reports, which then are used to propose insights and detailed actions to improve data quality.
- Algorithm development. Developed entity matching rules and aligned with business users to consolidate each dimensional dataset, especially customer profile data.
- Lead Scoring. Built a Machine Learning model with over 95% precision to automatically classify potential customers (leads) into groups based on online behavior on the website, responses to the agent as well as.
Data Scientist
- My work focused on building Machine Learning models to improve the operation of products on ViettelPay ecosystem
- Lead Generation. Built a Machine Learning model that follows a look‑alike scenario to find potential users for new products on ViettelPay. The model delivered 2 times higher average conversion rate by messaging than.
- Credit Scoring. Built a credit scoring model from raw telecommunications data, achieving Gini efficiency greater than 0.7.
Data Science Instructor
Teaching a basic data science course that introduces the process of performing a data science problem as well as modeling algorithms (logistic regression, svm, tree-based modeling, ensemble models)
Machine Learning Engineer
1. Sentiment Analysis. Built and developed a sentiment classification model that works well with a lot of data from newspaper information.2. Object Detection, Object Recognition. Surveyed AI solutions which are best fit with fore container number (both vertical and horizontal texts).
Telecommunications Engineer
Study on preliminary design of satellite telecommunications system
Student
Bachelor of Electronics and Communications Engineering*Program: Talented Engineer Training*Rank: Very Good
Manh Nguyen education
Frequently asked questions about Manh Nguyen
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What company does Manh Nguyen work for?
Manh Nguyen works for CoderSchool (IT W21).
What is Manh Nguyen's role at CoderSchool (IT W21)?
Manh Nguyen is listed as Data Science Mentor at CoderSchool (IT W21).
Where is Manh Nguyen based?
Manh Nguyen is based in Hanoi, Hanoi, Viet Nam while working with CoderSchool (IT W21).
What companies has Manh Nguyen worked for?
Manh Nguyen has worked for Coderschool (It W21), A2I2 Applied Ai Institute, Xpon Technologies Group (Asx:Xpn), Vingroup Jsc, and Viettel Digital.
How can I contact Manh Nguyen?
You can use AeroLeads to view verified contact signals for Manh Nguyen at CoderSchool (IT W21), including work email, phone, and LinkedIn data when available.
What schools did Manh Nguyen attend?
Manh Nguyen holds Bachelor'S Degree, Electronics And Communications Engineering from Hanoi University Of Science And Technology.
What skills is Manh Nguyen known for?
Manh Nguyen is listed with skills including Matlab, Python, Natural Language Processing, Research, Computer Vision, Latex, Microsoft Office, and Time Management.
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