Hi, My name is Cheting Meng, I am a Masters at Georgia Tech majoring in Computational Science and Engineering and I am writing to express my keen interest in the projects in DSSG Solve community. I have contributed significantly as a Graduate Research Assistant at Georgia Tech, where I applied advanced data mining, NLP, and machine learning techniques, I am excited about the prospect of leveraging these skills in boosting AI capabilities and drive innovative data solutions.

I have 3+ years of proficient experiences of -data analytics& ML -Python, SEL, R, C++ -DL framework (Pytorch, Keras, Tensorflow) -Extensive knowledge of mathematics behind AI models.

I have proficient project experience developing innovative solutions with AI, such as my projects in Personalized Chatbot API: LLM Finetuning & RAG, GNN Amazon Recommendation System and Healthcare NLP web app, showcasing my ability to apply cutting-edge technologies effectively. I am particularly drawn to opportunities that blend technical expertise with real-world impact, making me a strong candidate for roles involving deep learning.

I am also proficient in traditional statistical modeling and machine learning from my research assistantship, previous role as a data scientist and my projects such as stock price time series analysis in R and credit fraud detection using ML classification in Python.

Thank you for considering my application. I am eager to contribute my skills and drive to your team and am looking forward to discussing how I can contribute to your organization.

Personal information
Full name: Meng Dakota
User name: dakotameng.cm
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Master's on Computational Science and Engineering (Georgia Institute of Technology)
LinkedIn profile
Github profile
Portfolio
Volunteer availability
Start date: None
End date: None
Hours available per week: 15
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
JavaScript
Computer Science (Algorithms)
C/C++/C#
Java
Text Data (NLP)
Data > 1TB
SQL
Data in Text Files
Data in Relational Databases
Network/Graph Data
Multimedia Data (Video or Audio)
Data from Sensors
Geospatial
Data Visualization
Experimental Methods (RCTs, A/B testing, etc.)
Experience working on real-world problems using data
Social Science (Economics, Sociology, etc.)
Data Analysis
Random Forests
Neural Networks / Deep Learning
Time Series Models
Unsupervised models
Semi-Supervised models
SVMs
Decision Trees
Causal inference
Graphical models
Julia
R
Matlab

Volunteer projects

No volunteer work yet.