We offer more than your run-of-the-mill data analyst, at Haave we are deeply-skilled, academically-trained PhDs that are comfortable in chaos. Our expanding team of data scientists leverage cloud and Hadoop infrastructures, ingest and clean data, produce advanced visualization, perform feature engineering, develop advanced models including random forest and neural networks, and are adept at real-time streams processing and deep learning.
I am a strategic thinker that leverages data to make decisions.
I adhere to four guiding principles:
(1) Impact: I want to make a difference in the lives of people I meet and drive business decisions across organizations.
(2) Recognition: I strive to be a thought leader; my primary focus lies in understanding and teaching all things data science.
(3) Continuous Learner: not only do I love learning for learning’s sake, but I enjoy being able to connect the dots.
(4) Autonomous Competence: I work hard to earn trust and support from leadership, colleagues, and subordinates. This is done through becoming competent and proficient in the domain space and having the capacity to learn new things that will increase my propensity for success.
Program Competencies: R, SPSS, SAS, Stata, Python, Teradata, SQL, Hadoop, Hive, Impala, AWS, Spark