Khang Tran
Skill Highlights
> Languages: Python (primary), Go, Java, C, Prolog, Clojure
> Frameworks: Flask, RASA
> Tools: Git, Docker, Postman. Experienced with AWS (EC2, ECR, ECS, Codebuild, CodePipeline)
> Database: Mysql, MariaDB, SQLite, DynamoDB
> Front-End: HTML, CSS, Javascript. Experienced with Bootstrap
> Machine Learning:
- Classification: Naive Bayes | Decision Tree | SVM | KNN | Logistic and Softmax Regression
- Clustering: K-Means | Hierarchical | Density-based
- Regression: Linear and Polynomial Regression
- Deep Learning: MLP | CNN | R-CNN | Fast R-CNN | Faster R-CNN
> Data Science: Data Analytics and Data Visualization, ETL, NLP and ML pipelines
Previous Experience
> Education: I graduated with an Computer Science degree from SUNY Oswego.
> Professional: My most recent employment was a Backend and Machine learning Developer Intern at Pionero JSC. Prior to this, I worked as a research assistant for a project focused on polyp segmentation using deep learning techniques.
> Other Experiences: Aside from my professional experiences, I actively pursue my personal growth by consistently undertaking challenging data analytics projects. Moreover, I've broadened my knowledge and skill set in the fields of Computer Vision and Data Science by pursuing pertinent courses.
Personal Interests
> Basketball - I was a proud member of my high school's basketball team and the sport has been a huge part of my life. My idols, Kobe Bryant and Stephen Curry, have inspired me to always strive for greatness on and off the court.
> But that's not all - I love hitting the gym to sculpt my body and build muscle. As a former skinny boy, I've learned the value of hard work and dedication to achieve my fitness goals.
> My ultimate destination? Yosemite National Park, the unparalleled wonderland that drew me to study in America. But my adventurous spirit won't rest there. Next stop: Europe, to revel in diverse cultures and gain unforgettable experiences.
▪ Believe in yourself 🤟