Evan Zhang Email & Phone Number

Seattle, Washington, United States

⭐ Engineered a service to help on-call automatically triage, label, and update tickets using Java, Python, and AWS⭐ Generated daily and weekly reports to assist on-call by measuring traffic and detecting urgent tickets using code⭐ Orchestrated Infrastructure as Code solutions utilizing AWS CDK to integrate and manage components of AWS infrastructure (EventBridge, SQS, Lambda), ensuring consistent scalability and simple migration for deployment⭐ Executed robust unit tests with Mockito and end-to-end tests on AWS Console; deployed service into production

⭐ I'm a Kaggle Expert who has created various notebooks (code) which utilize the entire data pipeline from gathering data to processing, visualizing, and analyzing that data in a meaningful manner𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬⭐ Data engineering: Web Scraping (Beautiful Soup, Selenium); Data Preprocessing (Pandas, Sklearn); Data Storage (Kaggle Datasets, Relational Databases, Google Cloud & SQL)⭐ Data analysis: EDA (Pandas, Matplotlib); Machine Learning (Tensorflow 2.0/Keras, Pytorch, XGBoost); Data Clustering & Dimensionality Reduction (Sklearn); Statistical Testing and Modeling (Statsmodels)⭐ Data visualization: Plotly (interactive plots), Matplotlib, Seaborn𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐍𝐨𝐭𝐞𝐛𝐨𝐨𝐤𝐬🌟 https://www.kaggle.com/code/ironicninja/daily-covid-19-interactive-plots🌟 https://www.kaggle.com/code/ironicninja/team-2121741-the-influence-of-music-code⭐ https://www.kaggle.com/code/ironicninja/vaccination-progress-us-world⭐ https://www.kaggle.com/code/ironicninja/a-beginner-s-guide-to-python-for-data-science

Westminster, Colorado, United States

⭐ Developed automated scripts to gather and process large amounts of raw data using parallelism in Python, C++⭐ Constructed and optimized data pipelines and dashboards on Domo, utilized ML to increase performance by 75%⭐ Presented actionable insights and detailed reports to Sales team by creating data-driven visualizations in Tableau

Pittsburgh, Pennsylvania, United States

⭐ Instructed and mentored 700+ students’ in Python through office hours, recitation, small groups, 1-on-1 tutoring⭐ Coordinated with 3 professors and 50+ TAs to grade exams, answer questions, and enhance students’ experience ⭐ Created 2 practice questions every week to facilitate students’ learning of key techniques and concepts

Pittsburgh, Pennsylvania, United States

⭐️ I brainstorm, organize, and execute various events to engage CMU's 13,000-person student body ⭐️ I manage, coordinate, and streamline tasking sheets and publicity for general body members⭐️ Events include Inflatables, Trivia Night, Chili Cook-off, Skate Night LDOC, and so so much more

Pittsburgh, Pennsylvania, United States

⭐ I led students and parents on a 1.5 hour tour around CMU campus⭐ I described my student life experience and other aspects of CMU on the tours⭐ I attended staff meetings and helped the Marketing department with additional work

Pittsburgh, Pennsylvania, United States

⭐ I engineered a convenient human annotation app to collect multimodal time-series data, using HTML, CSS, and React for the front-end, Django for the back-end, and Firebase (small-scale) and AWS (large-scale) as the cloud databases⭐ I was aiming to create a system allowing neural networks (on Pytorch) to train on datasets mimicking the properties of real-world data (multimodal data) which would be collected from the optimized annotation system

⭐ Soji is a company dedicated to creating tools and technologies to enable others to stay clean⭐ I modeled and marketed Soji’s primary product, Remora, a dual-compartment shower caddy with 2 suction cups. Its primary features/niches are that it sticks to shower walls easily and is foldable.⭐ I created the company’s website using markup languages (HTML/CSS) and Javascript as the front-end and Flask (with Redis) as the back-end

Durham, North Carolina, United States

Raleigh, North Carolina, United States

Under the guidance of Dr. John Muth of North Carolina State University, my research delved into the impact that quarantine had on the mental health of Americans. However, instead of using a traditional approach of polling subjects, my research used data mining and big data techniques to accurately sketch trends in mental health after quarantine. When subjects are polled, they are consciously aware that they are being polled, thus leading to results that may be subjective and biased. Instead, I used the Google Trends API to gather my data, and then analyzed it with Python. I also experimented with Django and Javascript for visualizations and SQL for data querying.

Bachelor Of Science - Bs, Computer Science

Activities and Societies: Data Science Club, Competitive Programming, Chess Club, Ping Pong ClubRelevant Coursework: Intro to Computer.

High School Diploma, Computer Science, 4.96 / 5.0

Activities and Societies: Computer Science Club Captain, Youth & Government President, Future Business Leaders of America Treasurer.

High School, Undeclared

Activities and Societies: Math Club President, Speech & Debate Co-Captain, Youth & Government Co-Captain, Beta Club Member, National.