Tyrell Baker Email & Phone Number
Who is Tyrell Baker? Overview
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Tyrell Baker is listed as Data Analyst at S&P Global, based in Indio, California, United States. AeroLeads shows a matched LinkedIn profile for Tyrell Baker.
Tyrell Baker previously worked as Data Science Research Fellow at Deep Data Lab and Data Science Intern at Carnegie Institution For Science. Tyrell Baker holds Bachelor Of Science In Computer Science (Candidate), Computer Science, 3.68 from California State University, Monterey Bay.
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About Tyrell Baker
I'm a multifaceted and well-organized Data Scientist with a strong passion for leveraging data to drive innovation and solve complex problems. My expertise lies in data analysis, statistical modeling, and machine learning techniques. Proficient in Python and SQL, I bring hands-on experience in data preprocessing, visualization, and model development. What sets me apart is my demonstrated ability to derive valuable insights from intricate datasets and effectively communicate these findings to facilitate data-driven decisions. I thrive in collaborative, cross-functional environments, working closely with teams to identify business objectives and develop analytical solutions, contributing to data-driven innovation and problem-solving. Career Highlights: Created a robust terminal application in Java, utilizing HashMaps to efficiently process user input and generate output that adheres to the Markov property. Conducted in-depth data exploration of the FLUXNET CH4 dataset, showcasing my proficient scripting skills in Python during my tenure as a Data Science Intern at The Carnegie Institution for Science. I've enhanced data communication by skillfully visualizing findings using Seaborn, ensuring clear and concise presentation of results to non-scientific audiences. Directed and supervised a team of 50 instructors for Stanford's global initiative, "Code in Place," guaranteeing the seamless delivery of their Intro to Python course to a diverse international audience. Spearheaded the successful rollout of the Xopt Nelder-Mead feature to a team of 150 accelerator operators, meticulously optimizing the implementation to identify and rectify any software bugs. I look forward to meeting you! You can reach me at tybaker@csumb.edu
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Tyrell Baker work experience
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Data Science Research Fellow
Current- Analyzed over 364,380 data points among adolescents to examine changes in intrinsic motivation and physical activity over time, identifying significant correlations and patterns using Python libraries such as Pandas.
- Investigated gender differences, baseline fitness levels, and BMI percentiles in response to interventions, uncovering key insights into participant behaviors and outcomes.
- Conducted detailed heart rate data analysis to evaluate improvements in participants' ability to stay within target heart rate zones during physical education classes, leveraging Matplotlib and Seaborn for data.
- Performed mediation analysis to determine if intrinsic motivation changes influenced physical activity, providing insights into behavior change mechanisms.
Data Science Intern
- Analyzed over 300 million data points from the FLUXNET-CH4 dataset, covering 79 global sites, including 42 freshwater wetlands, using Carnegie's High-Performance Computing (HPC) resources to identify primary drivers of.
- Applied data cleaning and preprocessing techniques, using correlation coefficients for feature selection to ensure data accuracy with Pandas and NumPy.
- Executed linear regression modeling with statsmodels on over 1.2 million time-series records, translating data into actionable insights
- Visualized findings with Seaborn and Matplotlib, creating scatter plots, time series graphs, and heatmaps to facilitate presentations for non-scientific audiences
Head Teaching Assistant
- Directed and supervised a team of 50 instructors for Stanford's global initiative, "Code in Place," ensuring seamless delivery of their Intro to Python course to a diverse international audience.
- Spearheaded the development of a comprehensive curriculum for the instruction team, strategically optimizing class time allocation and enhancing the overall learning experience for students.
Software Engineer Intern
- Seamlessly incorporated the Nelder-Mead optimization function into the current accelerator software, utilizing generator and operator functions in Python's Scipy library, enhancing the software's capabilities and.
- Modified the existing Xopt GUI to facilitate the integration of Nelder-Mead for accelerator prediction, improving the user experience and enabling more accurate predictions.
Tyrell Baker education
Bachelor Of Science In Computer Science (Candidate), Computer Science, 3.68
Associates Degree For Transfer, Computer Science, 3.5
Frequently asked questions about Tyrell Baker
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What company does Tyrell Baker work for?
Tyrell Baker works for S&P Global.
What is Tyrell Baker's role at S&P Global?
Tyrell Baker is listed as Data Analyst at S&P Global.
Where is Tyrell Baker based?
Tyrell Baker is based in Indio, California, United States while working with S&P Global.
What companies has Tyrell Baker worked for?
Tyrell Baker has worked for S&P Global, Deep Data Lab, Carnegie Institution For Science, Stanford University Department Of Computer Science, and Slac National Accelerator Laboratory.
How can I contact Tyrell Baker?
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What schools did Tyrell Baker attend?
Tyrell Baker holds Bachelor Of Science In Computer Science (Candidate), Computer Science, 3.68 from California State University, Monterey Bay.
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