Malachi Dunn
About Malachi Dunn
Malachi Dunn is a Data Scientist specializing in Client Insights at Kochava since 2021, based in Sandpoint, Idaho. He has a diverse background in data analysis and support roles across various educational and technological institutions.
Work at Kochava
Malachi Dunn has been employed at Kochava as a Data Scientist specializing in Client Insights since 2021. In this role, he serves as the technical lead for Foundry services, utilizing SQL, Python, Tableau, and Looker. His responsibilities include developing fraud mitigation programs and tools through machine learning and statistical outlier detection. Dunn also engages in campaign consultation and A/B testing for strategic clients, applying his expertise in various statistical methods and programming languages.
Previous Experience
Prior to his current position at Kochava, Malachi Dunn worked in several roles that contributed to his expertise in data analysis and support. He served as an Information Technology Support Specialist at the University of Idaho from 2018 to 2020. He also worked as a Data Analyst at Schweitzer Engineering Laboratories for six months in 2019. Additionally, Dunn was a Mathematics Tutor at Lewis-Clark State College from 2015 to 2019 and held a research position at the University of Idaho in 2017.
Education and Expertise
Malachi Dunn holds multiple degrees that reflect his academic background in quantitative modeling, statistics, and data science. He earned a Bachelor's degree in Quantitative Modeling and Statistics from the University of Idaho, followed by a Bachelor's degree in Mathematics and Computer Science from Lewis-Clark State College. He is currently pursuing a Master of Science in Data Science at Eastern University, expected to be completed in 2024. Dunn's educational journey has equipped him with advanced skills in statistical analysis and programming.
Technical Skills and Specializations
Dunn possesses a comprehensive skill set in data analysis and programming. He is experienced in hyperparameter tuning, feature selection, and data cleaning. His proficiency includes statistical methods such as T-Testing, ANOVA, and Bias/Variance Tuning. Dunn has advanced skills in regression techniques, including Support Vector Regression (SVR) and polynomial regression, as well as classification methods like K-Nearest Neighbors (K-NN) and Support Vector Machines (SVM). He is also knowledgeable in various programming tools, including Amazon Redshift, Google Bigquery, Hadoop, Spark, and Matlab.
Achievements and Recognition
Malachi Dunn was featured on the cover of App Developer magazine in February 2022, highlighting his contributions to the field of data science and analytics. His work in developing fraud mitigation programs and tools has positioned him as a key player in leveraging machine learning for practical applications. Dunn's involvement in campaign consultation and A/B testing further underscores his impact on strategic client initiatives.