About me

Hi, this is quangtiencs’s log, a homepage of my engineering life. I am Tien Le-Quang (Lê Quang Tiến), a ˈdeɪtə dɪˈtektɪv (a.k.a data detective or data scientist).

With a lifelong learning mindset, I am on the road to becoming a wizardly statistician, a world-class engineer :D

As a critical-thinking practitioner, my opinions are always subject to rethinking and revision. If you find any mistakes, please do not hesitate to give me feedback.

Fun fact: quangtiencs means quangtien cơm sườn (with computer science and counter strike).

Primary interests:

• Real-world applications: Prediction system, Causal reasoning, Ranking system, Search system, and some applications of Natural language processing.
• Machine learning methodologies: Bayesian Inference, Probabilistic Deep Learning, Probabilistic Graphical Models,… and some related topics!
• Algorithm for optimizations: Bandit Algorithms, Constraint Programming (CP-SAT problem).

Skills:

• Formulating a research question that’s related to a business problem.
• Programming languages: Python, Julia, Typescript/Javascript (and a little bit of R, Scala, Kotlin)
• Good at data visualizations. Visualization Libraries: d3js, bokeh, matplotlib.
• Proficient in writing complex SQL queries to extract, load, and transform data from various sources.
• Machine learning frameworks: Scikit-Learn, Catboost, Keras 3, Jax, PyTorch, Turing.jl.
• Operations research tools: Google-Ortools, cvxpy.
• Soft skills: open-minded, critical thinking, love sharing.

You can contact me via:

• Email: quangtiencs [at] proton.me
• Email (rarely reply): quangtiencs [at] gmail dot com
• LinkedIn: https://www.linkedin.com/in/quangtiencs/
• Github: https://github.com/quangtiencs
• Telegram: https://t.me/quangtiencs
• ThetaLog (Vietnamese Blog): https://thetalog.com/

tldr_root_folder/
|-- social_network/
|   |-- linkedin.pdf
|   |-- github.js
|   |-- twitter.txt
|   |-- telegram.txt
|   `-- thetalog.com
`-- README.md