HongPhuc | Data Scientist

About Me

I'm a data scientist based in Paris, France, specializing in information systems, cloud computing, and business intelligence. I have also worked as a DevOps engineer recently.

After graduating in September 2020, I took another path in my career away from data to a DevOps engineer in Alter Way. I spent most of my time jumping from developing a Kubernetes application to creating frameworks using public cloud technologies. Infrastructure management was also a part of my daily work, from on-premise to the public cloud.

Not too long before the DevOps adventure, I worked at Sopra HR Software, where I tackled a variety of real-world problems and challenging subjects. For two years, I've developed some efficient plugins intending to use the best new technologies to modernize the old infrastructure.

I've been working extensively on Kubernetes, Prometheus, and Grafana. However, that isn't all, you can check out some of the highlight technologies I've come across recently:

KubernetesOpenshiftDockerPrometheusGrafanaLokiGolangCloud API & SDKMAASJujuGitLab CIElastic StackApache SparkTensorflowTesseract OCR

I've Worked For

DevOps Engineer R&D

January 2021 - Now

Alter Way (Smile)

Developed a Kubernetes native application for metrics transformation and monitoring

Created a data pipeline to process network data

Created tools for public cloud information retrieval

Developed tools to provision and mange cloud instances

Managed on-premise & cloud infrastructure

Featured Projects

1

Web Sensors

We used posts, comments, documents, etc. as a network of social web sensors from various sources Twitter, RSS with the goal to detect events as they occur based on a more complex and intelligent process than the one in the actual sensor web.

NLPPythonElasticsearchMongoDBPHP

2

Rating Operator

Rating Operator is a Kubernetes based application aimed at providing system administrators, DevOps or business-oriented users, such as BI developers, with indicators or KPIs derived from metrics.

KubernetesOperator-SDKKopfPrometheusGrafanaFlaskPostgresGolangPython

3

Hybrid Recommender With Yelp Dataset

Using the dataset from Yelp, our aim is to build a personalized prototype of a restaurant recommendation system to provide a new restaurant suggestion that a user might like based on the user profile. The engine is not only considered the interaction between customers and restaurants but also contains metadata representing customers' taste and restaurant functions.

Machine LearningCollaborative FilteringNLPBig DataPythonFlaskDjangoElasticsearchCloud Computing

4

Adult Census Income

By using the US census data from UCI Machine Learning Repository, the goal of this project is to explore the US Adult Income data and develop a model to predict whether an individual's income will be less than or equal to $50,000, or greater than $50,000.

Machine LearningSupervised LearningClassificationR

All Projects