freiberufler Data Scientist auf freelance.de

Data Scientist

offline
  • auf Anfrage
  • 44379 Dortmund
  • Nähe des Wohnortes
  • vi  |  en
  • 19.10.2021

Kurzvorstellung

Currently, I am a second semester student in the MSc Data Science program at Technical University Dortmund. I had almost 3 years of experience in the Research & Development (R&D) departments and outsourcing companies.

Qualifikationen

  • Chatbot
  • Fastai
  • mmdetection
  • mmpose
  • Natural Language Processing (NLP)
  • Python

Projekt‐ & Berufserfahrung

R&D Engineer
Cyberlogitec Viet Nam, Ho Chi Minh City
4/2020 – 5/2021 (1 Jahr, 2 Monate)
IT & Entwicklung
Tätigkeitszeitraum

4/2020 – 5/2021

Tätigkeitsbeschreibung

– Container Recognition System: I built a logic component that handles the signals received from 6 recognition modules. The logic component must begin when a truck is involved in container activities and return the container identification numbers according to the truck.
– Golf Scoring System: I have developed an application for correcting the golf pose. The system gives score measure for each individual body parts(hip, shoulder, ...), and finally results a summary points.

Eingesetzte Qualifikationen

PyTorch

AI Engineer
Skydisc, Ho Chi Minh City
4/2019 – 4/2020 (1 Jahr, 1 Monat)
IT & Entwicklung
Tätigkeitszeitraum

4/2019 – 4/2020

Tätigkeitsbeschreibung

– Research defect classification on vibration signal in industrial processes: I used Bi-direction Long Short Term Memory and Attention mechanism on Bearing Fault dataset, which allows the neural network to focused on failure signals.
– Anomaly Detection on welding image from manufacturing chain: Due to the lack of labeled defected images, I applied an unsupervised method, which was using Auto Encoder, to trained on normal data to model learn the normal distribution and returned abnormal score to determine defected data.
– Research a base-line machine learning pipeline: shortage the process of training and testing image classification tasks, which allows engineers to define a list of pre-processing functions and get the output results.
– Research anomaly detection and segmentation: I research a method named Unsupervised Anomaly Detection with Generative Adversarial Networks, AnoGan, which is a generative adversarial network trained on normal data and be able to segment defect regions.
– Reduce processing time for sound classification project: the current company code base is using the Genetic Algorithm, I modified the feature selection component and made it run in parallel. As a result of this improvement, the processing time reduces from 12 hours to 20 minutes on a 32-core machine.

Eingesetzte Qualifikationen

Outsourcing, Python, PyTorch

R&D Engineer
Younet Media, Ho Chi Minh City
8/2017 – 4/2019 (1 Jahr, 9 Monate)
IT & Entwicklung
Tätigkeitszeitraum

8/2017 – 4/2019

Tätigkeitsbeschreibung

– Social Data Enrichment: the collected social user data is missing useful information such as
age range, location,... I analyzed the current information and came up with a hardly feature
engineering algorithm for data enrichment, which returned almost 90% accuracy.
– Chatbot System: Mobile Phone Shop Chatbot allows customers to ask questions such as
product features, shop locations, applications. I did mainly in implementation intent clas-
sification and named entities recognition, which taking advantage of Transfer Learning in
NLP, Universal Language Model Fine-tuning for Text Classification (ULMFit), to overcome
the problem of small dataset, and employed with Conditional Random Field for additional
constraints on nearby words to improve named entities recognition accuracy.

Eingesetzte Qualifikationen

Natural Language Processing (NLP), PyTorch, Social Media Marketing

Weitere Kenntnisse

Currently, I am a second semester student in the MSc Data Science program at Technical University Dortmund. I had almost 3 years of experience in the Research & Development (R&D) departments and outsourcing companies. This has given me the chances to work with different types of problems, such as Natural Language Processing, Image Recognition, …. This has allowed me to quickly adapt to different projects and become an effective team player which I believe would be a great contribution to your projects.

I use Python as my primary programming language to accomplish tasks. Working as a R & D engineer, I am confident in my ability to work independently and as part of a team. I am always willing to learn new skills and acquire new knowledge.

Please find attached my CV for your review. Thank you for your time and consideration.

Persönliche Daten

Sprache
  • Englisch (Fließend)
  • Vietnamesisch (Muttersprache)
Reisebereitschaft
Nähe des Wohnortes
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
408
Alter
28
Berufserfahrung
6 Jahre und 7 Monate (seit 08/2017)

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