Katherine Bueno Email & Phone Number

Bankside, London, Gb

New York, New York, Us

Client: Pfizer

Portland, Oregon, Us

Client: Google and Gatorade

Client: Spotify (via Anchor Worldwide agency)

Brooklyn, Ny, Us

Client: Google

New York, Ny, Us

Clients: Biogen, BioMarin Pharmaceuticals, Sun Pharma, SK Biopharmaceuticals

San Francisco, Ca, Us

Client: Verizon

New York, Ny, Us

• - Data Science: Numpy, Pandas, Python, R, Unix, Jupyter Notebook • - Machine Learning Platforms: H2O, Scikit Learn, NLTK • - Big Data: Spark, Hadoop MapReduce, Hadoop HDFS, AWS, DigitalOcean,HIVE, Java• - Databases: Hadoop, MySQL, Derby• - Algorithms: Decision Trees, Random Forest, Gradient Boosting Machine (GBM), Naive Bayes, KNN, K-Means, Generalized Linear Model (GLM) • - Built a predictive model on python using the machine learning platform H2O, to predict housing prices• - Constructed a Naive Bayes classifier using python and H2O to make sentiment analysis predictions on user review data on tablets from Amazon.com• - Developed a recommendation system that suggests consumer products based on the cosine similarity between products • - Built a Gradient Boosting Machine (GBM) regression model using Skytree to forecast the daily sales of a local store• - Implemented the K-Means algorithm in python with scikit-learn to identify clusters of similar earthquakes and found the optimal number of clusters and visualized them

New York , New York , Us

- Developed analytics pipeline to analyze customer reviews ( 1.5M ) on the platform - Natural language processing techniques ( Naive Bayes ) was used, using NLTK packages- Created python scripts to collect data from Weblogs, SQL databases- Customized python/unix scripts to clean and summarize the data- The end product resulted in user stories, which led to new feature enhancements• - Developed and enhanced parts of the customer portal for the company.- Engineered improvements to the website and ran statistical analysis on the SequelPro database for customer reviews. - Collaborated with software engineers to develop creative and unique solutions to the company’s back-end system. - Took on tasks and debugged errors on both the front- and back-end using Ruby on Rails. - Tested and refactored production code, which resulted in improved performance and adherence to code standards

New York, Ny, Us

• - Taught students to code interactive websites through HTML, CSS, and JavaScript. • - Incorporated Git, Unix, WordPress, and API’s into the Front-End curriculum. •- Interviewed students who were attending course information sessions, course marketing events and instructor-led classes. •- Evaluated 30 students at mid-point, end-point, and regular intervals.•- Committed to regular interactions with students through 1:1 meetings, emails, office hours, and other online platforms, like Slack, Schoology, and Github. •- Attended and led regular meetings with General Assembly staff, including Curriculum and Production teams. •- Assisted with co-instructor or co-teaching assistant hiring, mentoring, and on-boarding by regularly participating in interviews, peer observations and informal mentoring.

•- Mentored and trained 35 female high school students to construct and program a task-specific robot competing in the FIRST Robotics Competition at the Jacob Javits Center. •- Stimulated interest in science, math, and engineering with the use of a 3D printer, LabView and AutoCAD software.