Dakota Meng

Machine Leanring Engineer & Data Scientist

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My Story

   I (Che-Ting / Dakota Meng) have always been fascinated by the power of numbers and data to predict and shape the future. History is encoded in data, and as we continue to generate more, it becomes the foundation for shaping our future.
  I originally have a background in Civil Engineering but with my undergraduate research green building energy consumption optimization, I not only won a national student researcher award in Taiwan, but also felt driven by a insatiable curiosity to explore the rapidly evolving realms of algorithmic approaches and data models.
  Hence I pivoted my career to pursuing his master's degree at Georgia Tech in Computer Science and Engineering. With my graduation in May, I aspires to become a problem solver who not only delivers insightful and accurate solutions but also infuses them with intuition and creativity, aiming to make a meaningful impact on the world.


Professional Experience

Job Role Company Duration Location
Machine Learning Research Engineer Intern Noteworthy AI Inc. 6mo [08/2024 - 12-2024] Remote, US
Graduate Reasearch Assistant Georgia Institute of Technology 2yr [08/2022 - 08/2024] Atlanta, GA
Data Scientist New-Techem Co., Ltd.

(Industrial chemicals company based in Shanghai)

 6mo [06/2021 - 12/2021] Taipei, Taiwan

Noteworthy.ai



New-Techem
Spearheaded research of foundatinoal model
Autometed dataset curation tool development
Model training and infrastructure Implementation (AWS)
[see more...]
Custom Legal LLM with RAG application
Data-driven decision-making data analysis
Financial LLM
Marketing & CRM machine learning prediction
ETL pipeline development
Business dashboards data visualization

Or...
more showcasing

Tech Stack

Programming Languages Python, SQL, R, C++, Julia, JavaScript, HTML, CSS
Libraries & Frameforks Pandas, Numpy, Scipy, Scikit-Learn, XGBoost, Django
Matplotlib, Seaborn, Plotly, Dash, ggplot
NLTK, Textblob, OpenCV
Tensorflow, PyTorch, Keras
D3.js
Tools MySQL, PostgreSQL, SQLite
Docker, Github
Spark (SparkML, PySpark), Databricks
Linux, Bash script
Power BI, Tableau
AWS, GCP, Azure
Microsoft Office.

Skills

Explorative data analysis (EDA)
BigData (Databricks, Hadoop and Spark, AWS, Google Cloud, OpenRefine)
Web crawling and scraping (Selenium, Scrapy, Beautiful Soup)

Relational database (MySQL, SQLite, PostgreSQL)

Data mining,Regression, Time series analysis, Decriptive statistics, Hypothesis testing

Power BI, Tableau;
Python (Matplotlib, Seaborn, Plotly, Flask)
D3.js, HTML, CSS

Classification (SVM, Random forest, Bayesian classifier, KNN, etc.)
Clustering (K-Means, Heirachical clustering, DBSCAN, etc.)
Regression (Linear regression, Gaussian mixture model, Kernel regresion, Bayesian regression, etc.)

Basics (MLP, RNN, CNN, LSTM)
Generative (VAE, GAN, Stable Diffusion, Transformers, etc.)
Embedding (Word2Vec, etc.)
NLP
Commputer Vision