A self motivated Undergraduate student looking for Full-time opportunities in the field of Data Science.
Relevant Classwork: OS , Data Structures and Algorithms , Software Engineering , Machine Learning, Software Project Management , Artificial Intelligence , Multivariate Statistics , Object Oriented Programming, Database Systems and File Structures , Computational Methods , Data Mining , Computer Networks
Developed scalable real-time finance analysis end to end platform. Implemented OpenID connect with GraphQL for efficienthigh volume queries.
Established data pipeline using Amazon Kenisis, Firehose and S3.
Followed Oasys software engineering standards, applicable software development methodology and release processes, to ensure code is maintainable, scalable , supportable and demo the software products to stakeholders.
Implemented and Tested different cache replacement algorithms (LRU, LFU, ARC, LIRS).
Calculated HIT and MISS ratio for the replacement algorithms. And Tested the algorithms on different data with different cache sizes.
Used GNUPlot to compare the results and presented the findings in weekly meetings. More detail is available on http://xszhao.science/labweb/index.html
Assisted a group of Supplemental Instructors (SI) in administrative protocols and procedures.
Conducted weekly meetings to help with SI-faculty and SI-student relationship, Organized and gave speeches about product marketing and smart goal settings in accordance with SI job description.
Understanding behavioral diversity and exuberating positive leadership were crucial components in facilitating the job position.
Python
Java
C++
Matlab
ML Algorithms: Linear Regression , logistic Regression , KNN , Naive Bayes , SVM , PCA , Decision Trees , K- Means , Gaussian Mixture Model
Tools: Jupyter , Numpy , Pandas , Matplotlib , OpenCV , Seaborn , Plotly , Scikit-learn , Tensorflow , Keras
Reguralization
Accuracy Measures
Statistical Analysis and Modeling
knowledge of end-to-end machine learning pipeline (feature engineering, data cleaning, data visualization, model deployment and serving)
Frontend: HTML , CSS , BootStrap , ExpressJS
Backend: NodeJS , Flask
REST API
Planning and Collaboration: JIRA , Slack
Source Code Management: git , SVN , GitHub
Continuous Integration: Jenkins , Travis CI
Testing: Chai , Mocha , Supertest
Cloud Hosting: AWS , Google Cloud Services