Greater New York City Area
NYU Langone Health
Data Scientist (Associate Research Scientist)
October 2016 to October 2017
Greater New York City Area
October 2017 to January 2019
New York, New York
Center for Data Science and Public Policy @ University of Chicago
Data Science for Social Good Summer Fellow
May 2016 to August 2016
Greater Chicago Area
What company does Jacqueline Gutman work for?
Jacqueline Gutman works for NYU Langone Health
What is Jacqueline Gutman's role at NYU Langone Health?
Jacqueline Gutman is Data Scientist (Associate Research Scientist)
What industry does Jacqueline Gutman work in?
Jacqueline Gutman works in the Research industry.
💼 Past Experience
Jacqueline Gutman's Summary of the Data Science Experience:I am a data scientist. I completed my degree in Computer Science from NYU Langone Health in October 2016. I have been working as a data scientist at Flatiron Health (an healthcare company in Greater New York City Area) since October 2017. I also work at Plated (an online food delivery service in New York City) from October 2017 to January 2019. I am a summer fellow at the Center for Data Science and Public Policy at the University of Chicago from May 2016 to August 2016. Overall, I have worked as a data scientist for social good projects for 4 months.
Jacqueline Gutman is a high-end data scientist with an earned doctorate in Brain & Cognitive Sciences from the University of Rochester. In her Sendai, Japan-based company, she is the manager of the Ground Control and awoke the Supervised Machine Learning group that is the largest and most important active machine learning group at the company. She has over 10 years of experience managing and working with machine learning algorithms, and has been responsible for the development, design and presentation of major data science research projects at her company.Jacqueline Gutman is the holder of two professional degrees and has been in the data science field for over 10 years, where she has worked with a number of different industry segments. Her background in Brain & Cognitive Sciences has equipped her with the skills and knowledge to manage large, multi-layered data sets and identify patterns. Her experience as a manager and scientist who specializes in machine learning has resulted in Jacqueline Gutman being able to come up with creative solutions to complex problems and enhance the performance of her algorithms. Jacqueline Gutman is a highly experienced and skilled manager who can help her companys’ algorithms to achieve their objectives.
💡 Technical & Interpersonal Skills
Jacqueline Gutman's professional experience in the field of data science lies within the fields of analytics, reporting and almost every other data-related field. Jacqueline Gutman took courses and worked with a variety of software for data analysis, including Python, R, pandas and greenplums. Jacqueline Gutman has also worked with big data technologies, such as Hadoop and Cassandra, and has been able to develop models that efficiently and accurately gather and analyze data. Jacqueline Gutman has a degree in from the School of Education and Art at the University of New England in Australia and is currently a licenciate of The Academy of Data Science and Public Policy (ADSVP), a private for-profit school.Jacqueline Gutman interpersonal skills also lie within the field of data science. Jacqueline Gutman is very communicative and is comfortable working in a team. Jacqueline Gutman is an experienced cougar, which means she is know-ledger and able to quickly interpret complex data. Jacqueline Gutman is also a confident and articulate presenter, which contributed to her successful presentation skills during her previous positions. Jacqueline Gutman is very poised in her movements, which allows her to move quickly and effectively through any situation. Jacqueline Gutman is also confident in her personal relationships, which has allowed her to be a successful collaborator and stay good m connections with co-workers.
Introversion (I), Intuition (N), Thinking (T), Judging (J)
0 year(s), 11 month(s)
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