Data Analyst Machine Learning

Nguyễn Hoàng Bảo Lam

Ho Chi Minh, Viet Nam

038******* **********@*****.***

TON DUC THANG UNIVERSITY SEP 2016 - 2020

TPS SOFTWARE CORPORATION - DISTRICT TAN BINH,

HOCHIMINH CITY

NOV 2020 - PRESENT

OBJECTIVE

I am currently looking for a full time position in an environment that offers a greater challenge, increased benefits for myself, and the opportunity to help the company advance efficiently and productively EDUCATION

Major: Computer Science

GPA: 7.79/10.0

WORK EXPERIENCE

AI Research/Engineer

Main responsibilities:

- Research about how to processing raw data (image, text, speech ).

- Research about how to use state-of-the-art models and build model for our project.

- Build some models for many topic: OCR, Handwritten, Palm-print, Face detection, Face recognition, Chat Box, Forecast, 3D - Lidar

- Pre-processing data: classify data, cluster data, filter data by feature

- Generate data for training stage.

- Deployment our model.

- Report and present weekly and monthly.

Project:

* 3D - Lidar:

Member: 1

Technical: Python, open3d, PyTorch, TensorFlow

- Visualization metadata which received from iOS team.

- Reduce noise: using image processing technical for 3D-point

- Build model detect a foot.

- Calculate height and weight of a foot to choose shoes's size.

* Tracking:

Member: 3

Technical: Python, PyTorch, TensorFlow

- Collect data of company's employees.

- Build model to detect and identify employee.

- Build model to tracking activities of each employee on board (do work, typing, take phone )

- Calculate time employee not on board in day.

* Joyid:

Member: 3

Technical: Python, PyTorch, TensorFlow

- Build OCR model Driver License and Passport USA. (Support customer)

- Build OCR model Vietnamese document. (ID, Passport, CMND)

- Employee identification system to enter the company and take attendance. (Support company's employee)

- Identification system serves document owner authentication (Support company's guest / customer)

* Viettel:

Member: 1

Technical: Python,Pandas

- Collect data from outlets has been provided.

- Analysis data and choose appropriate model.

- Forecasting achievable revenue by day/month/year.

- Schedule delivery at the right time.

- Schedule your marketing at the most likely time of approval

INDIEZ GLOBAL PTE.LTD - DISTRICT 2, HOCHIMINH CITY SEPT 2020 - MAR 2021

CLOUDAZ SOLUTIONS JSC - DISTRICT 2, HOCHIMINH CITY MAR 2019 - JUL 2019

ARTIFICIAL INTELLIGENCE LABORATORY - TON DUC THANG UNIVERSITY

MAR 2019 - MAR 2020

INTERNSHIP IN EMBEDDED SYSTEM LABORATORY,

UNIVERSITY OF ULSAN - KOREA

JUNE 2018 - JULY 2018

* GPT-3:

Member: 1

Technical: Python, OpenAI

- Research state-of-the-art models GPT-3

- Using GPT-3 API to build a chatbot system to answer questions about the company/education/chat...

* Hospital:

Member: 1

Technical: Python, PyTorch

- Identification system serves document owner authentication.

- Collect information of user from Kiot to build recommendation system.

- Schedule medical examination with the least amount of time and distance. Data Analyst - Monetization Team

Main responsibilities:

- Research about how to processing raw data in game.

- Use statistical method to analyze data and visual data to report.

- Apply machine learning model to diagnose advertising's prices in the game.

- Apply machine learning model to forecast the trend of market.

- Recommend how to set up advertising's prices on Waterfall to optimize revenue.

- Work with department managers to optimize revenue for in game's advertising.

- Report and present weekly and monthly to help department managers figure out insight and understand from data.

Project: 3 games (once a week)

Member: 2

- Collect data.

- Pre - processing and Explore Analysis Data.

- Build Model.

- Fix bug.

- Evaluation Model.

- Test Model.

- Apply the best model to predict.

Internship

Main responsibilities:

- Research Internet of Things.

- Research machine learning algorithms: Decision Tree and Linear Regression to predict weather forecast for agriculture.

- Learn about sensors device in agriculture.

- Collect and Classify dataset from sensors.

Member

Main responsibilities:

- Research Computer Vision, Digital image processing and OCR.

- Topic name: Extraction and recognition information from identitycard image.

- Using pre-train CNN and Tesserac-OCR.

- Seminar every week with lecturers.

Internship/Research

Topic name: Research machine learning algorithms, deep learningfor fault diagnosis application in machinery. Instructor: Hung - Nguyen Ngoc

Main responsibilities:

- Research machine learning algorithms, deep learning.

- Create basic neural networks model.

- Implement Logistic classification by Python and Matlab.

- Final report with instructions in University of Ulsan. SKILLS

SOFT SKILLS Communication skill

Easily adapting to new environment

Ability to work in group

Planning skill

Problem-solving skill

SKILLS FOR PROGRAMING - Python (Numpy, Pandas, Matplotlib )

- Basic skill: Java, SQL, BigQuery, Data Studio, PowerBI

- Using Machine Learning Models to analyze data for patterns, features and clusters.

- Build AI/ML programs/algorithms predict ( Linear Regression, Logistic Regression, k-NN, Decision Tree,Random Forests).

- Good logical thinking, problem-solving skills and having knowledge of mathematics.

- Having knowledge of Deep Learning and Computer Vision.

- Having knowledge of the Machine Learning frameworks such as Scikit-learn, Tensorflow/Keras, Torch/Pytorch.

- Microsoft Office: Excel, Word, PowerPoint.

BOSCH - CUỘC THI HACKATHON NHÀ KIẾN TẠO XANH CÔNG NGHỆ CHO BẦU TRỜI XANH

2021

VINBIGDATA CHEST X-RAY ABNORMALITIES DETECTION 2021

CLASSIFICATION OF NORMAL VS MALIGNANT CELLS IN B-ALL WHITE BLOOD CANCER MICROSCOPIC IMAGES

2019

AUTOMATIC GLEASON GRADING OF PROSTATE CANCER IN

DIGITAL HISTOPATHOLOGY

2019

COMPETITONS

https://bosch-hackathon.com.vn/

Main responsibilities:

- Give ideas for my team.

- Request data from API has been provided.

- Analysis data and choose appropriate model.

- Build model to serve our ideas and complete idea's prototype. Rusult : Top 10.

https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection Main responsibilities:

- Use some weight state-of-the-art models to pre-train models.

- Create appropriate training programs according to multiple data levels. Performance of present: 24.60%

https://competitions.codalab.org/competitions/20395 Main responsibilities:

- The problem belongs to classification problem.

- Training InceptionV3 model to predict microscopic images.

- Fine- tuning the best model experiment. Run some experiments with different parameters. (24 experiments). Performance : 93.23%

https://gleason2019.grand-challenge.org

Main responsibilities:

- The problem belongs to segmentation problem.

- Research instance segmentation and semantic segmentation.

- Pre-train model withdigital histopathology images.

- Change parameters to find the best parameter.

Performance of present: 83.16%

https://github.com/lishen/end2end-all-conv

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