KENTA SAKAI

424-***-**** adfnqn@r.postjobfree.com linkedin.com/in/kenta-sakai/ Berkeley, CA

EXPERIENCE

CHANEL – Data Analyst Intern (New York)

June 2019 – August 2019

Built a Power BI dashboard for the QA team to visualize progress of the next website release and connected it to JIRA and QAComplete’s API to display real-time data in forms such as a burndown chart. I reduced the manual workload of the team by 3~4 hours per week. (Power BI, DAX, M)

Analyzed customer email loss in the database. After examining multiple points in our system architecture, located the error and presented the findings to resolve the issue. (SQL)

Lead the initiative to onboard a chatbot vendor to enhance user experience. After analyzing the current website architecture and conducting market research on factors such as cost and integration, I presented my recommendations.

Beta-tested the new CHANEL app and created JIRA tickets for bugs.

Udemy – Business Analyst Intern (San Francisco)

June 2018 – August 2018

Analyzed affiliate sales data to optimize the sales strategy for an upcoming sale. Using insight from the analysis, worked closely with existing affiliate partners to construct a more effective promotion strategy. This resulted in a 450% increase over average affiliate revenue to create a new sales record. (Python, Scikit-learn, Excel, SQL, SPSS)

Managed the Japanese affiliate platform with over 4000 partners and constituting 10% of the total country revenue.

Lead the outreach initiative to expand partnerships in Japan. After contacting, I worked with major publishers such as Business Insider to promote Udemy courses to increase exposure. In total, I completed onboarding for 16 new partners.

Principles of Data Science, DS100 – Academic Intern

January 2018 – May 2018

Academic intern for an intermediate Python data science course at UC Berkeley. Explained concepts such as simple linear regression and bias-variance tradeoff to 15-20 students each week. (Python)

Seed Base Consulting – Consultant

August 2018 – January 2019

Worked as an analyst for a campus consulting organization to assist our client with market entry of their new product. Primarily conducted market research on competitors and used methods such as K-means clustering and factor analysis on SPSS to find the optimal target segmentation.

PROJECTS

Image Classification - Independent

Constructed a deep neural network to classify images of sports matches to their respective categories.

Trained the model with data downloaded via Flickr API and optimized it using different layer types, activation functions, and node counts. Using cross-validation to test, I was able to achieve 89% accuracy. (Python, Keras, Tensor-Flow)

Twitter Sentiment Analysis - Independent

Analyzed President Trump’s tweet sentiment using the Vader Lexicon. For example, tweets about Fox News were typically much more positive than New York Times or CNN. (Python)

Analyzed keywords, tweet distribution by time, etc. that were likely to gather likes, comments and retweets to find patterns.

Feature Engineering and Modeling Taxi Rides

Used a public taxi data to build a multiple linear regression model with 20+ regressors to predict ride duration of taxis in Manhattan (Python, Scikit-learn)

EDUCATION

University of California, Berkeley

Degree Expected: May 2021

B.A. Data Science, Business/Industrial Analytics Focus

Relevant Coursework: Data Science (cleaning, visualization, structures, modeling, machine learning, artificial intelligence, deep learning), Statistics (ANOVA, multiple regressions, gradient descent), Probability, Market Research and Analysis, Algorithms

SKILLS

Python, SQL, R, Keras, TensorFlow, PyTorch, SPSS, Java, MATLAB, DAX, Jupyter, Google Colab, Anaconda, Power BI, Tableau, JIRA, QAComplete, Janome, Genism, Microsoft Office

Native Fluency in Japanese and English. Elementary Korean.

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