Hirotaka Nakagame
Cell: 256-***-**** Email: adhjjq@r.postjobfree.com
**** * **** ****** ********, NE 68147
LinkedIn: https://www.linkedin.com/in/HirotakaNakagame/ Blog: https://medium.com/@hirotakanakagame
GitHub: https://github.com/HirotakaNakagame
Qualifications
I am a passionate Data Scientist who excels at building reliable models to meet specific internal and external needs. I have experience using predictive modeling and data processing to solve challenging business and marketing problems. I am detail oriented and highly motivated to learn new skills and technologies. I am able to thrive in both a team and an individual environment. Skills
● Programming:Python, Spark, SAS, SQL, C++, Matlab
● Data Science Tooling: Scikit-Learn, Keras, TensorFlow, H2O, regex, nltk, pandas, numpy
● Machine Learning:Random Forest, Neural Network, NLP, Gradient Boost, Time Series
● Miscellaneous: AWS, GitHub, Linux, Databricks, Data Lake, Tableau Education
University of Alabama in Huntsville
BS, Physics with a specialization in Optics May 2015 BS, Mathematics May 2015
MS, Physics Expected Graduation August 2021 (Coursework completed, taking the comprehensive exam) Work Experience
Data Scientist October 2018 – September 2020
Infogroup Papillion, NE then Remote
● Led the team in transitioning from SAS to a Python/AWS environment and in automating modeling
● Used Python and neural network to rebuild a core model and improved the accuracy by 10%
● Used Python and random forest and neural network to build a model to increase efficiency for an internal business unit and it was increased by 20%
● Used Python and random forest to build a model to find prospects for an internal business unit resulting in a 560% lift
● Used SAS and logistic regression to predict likely responders to a direct marketing solicitation resulting in a 240% lift
● Used Spark and NLP to compare and evaluate data with 2.5B rows from multiple vendors Research Assistant September 2015 – August 2017
University of Alabama in Huntsville Huntsville, AL
● Worked on a project to measure the concentration of bilirubin in human skin non-invasively using LEDs
● Used a statistical approach to simulate the above event and estimate reflectance for skin using C++ Medical Physics Research Assistant July 2014 – December 2014 Huntsville Hospital Huntsville, AL
● Worked on a project to reduce radiation dosages for patients who undergo pediatric head CT scans
● Maintained high image quality despite lowering radiation exposure to the patients