KENIA PIÑA
Walnut Creek,CA
Summary
Latina Data Scientist with over 5 years of experience in advanced analytics and impactful data storytelling. Skilled in leveraging predictive algorithms, machine learning, and statistical analysis to drive data-informed decisions.
Overview
11
11
years of professional experience
1
1
Certification
Work History
Data Analyst
Chevron Corporation
01.2023 - Current
- Collected and validated $900M in annual IT spend to deliver comprehensive benchmarking analyses and provide actionable budget recommendations
- Presented insights to cascading levels of Leadership ranging from General Managers, Extended Functional Leadership Team to individual Platform leaders, ensuring alignment with strategic objectives
- Enhanced decision-making by synthesizing complex financial data into clear, impactful narratives tailored to stakeholders
- Utilized data visualization tools to effectively communicate business insights.
- Automated complex Python calculations, reducing processing time by 40% and eliminating Excel dependency, resulting in more efficient and reliable data workflows
- Communicated technical implementation and results effectively to team and product owner to drive and encourage adoption
- Led anomaly detection and data validation for 23% of IT spend, improving reporting accuracy by 10%
- Partnered with cross-functional teams to develop relevant and significant KPIs that aligned with departmental goals, driving peak quarterly performance
- Facilitated strategic discussions by translating detailed analytics into actionable business insights, ensuring data-driven decision-making at every level
- Lead survey data collection and analysis to enable comparative analytics across major players in the Oil & Gas industry
Data Scientist
Chevron Corporation
06.2021 - 12.2022
- Developed logistic regression algorithms leveraging the AutoML platform DataRobot, enabling rapid deployment and retraining
- Performed extensive advanced feature engineering using statistical analysis to optimize model performance
- Created regional models to ensure optimal forecast accuracy, accounting for localized weather patterns and trading conditions
- These efforts led to a $3 million annual profit increase by providing data-driven insights that informed natural gas trading strategies
- Effectively communicated technical methodologies and results to stakeholders, ensuring alignment and seamless integration into trading operations
- Optimized three machine learning models for finished oil formulation by employing advanced feature engineering techniques and hyperparameter tuning
- Achieved over 10% improvement in predictive accuracy, enhancing the reliability of formulation strategies
- Applied loss functions and variance explanation techniques to compare performance metrics
- Designed robust workflows to maximize model efficiency and collaborated with teams to interpret results, ensuring alignment with production goals
- Created a Power BI Outlier Detection Report to enhance data integrity and identify anomalies effectively
- Delivered clear, actionable insights to stakeholders by combining data visualization with anomaly detection, facilitating better decision-making and improved data governance
Graduate Teaching Assistant
California State University, Channel Islands
01.2020 - 05.2021
- As the primary instructor of two undergraduate statistics support classes, I led and mentored students through foundational mathematical concepts
- I designed and delivered both in-person and interactive virtual lesson plans, focusing on an introductory statistics curriculum
- Topics covered included Bayes' Theorem, probability theory, sampling and data collection, permutations, combinations, and statistical analysis, emphasizing practical applications and theoretical understanding
- Provided tutoring at both group and individual levels, supporting students in algebra, pre-calculus, and statistics
- Adapted teaching methods to accommodate diverse learning styles, ensuring clarity and comprehension of complex concepts, especially during the COVID pandemic
- Checked assignments, proctored tests and provided grades according to university standards.
- Developed a collaborative learning environment that encouraged working past failures and understanding theories versus memorization techniques
- Taught Introduction to Statistics and Remedial Algebra college-level courses for over 60 students for 2 semesters
Data Science Intern
Chevron Corporation
06.2020 - 08.2020
- Developed a random forest regression model in R to predict litigation outcomes with 85% accuracy
- The model enabled a 20% reduction in manual case evaluations, significantly supporting the decision-making process for stakeholders
- The data required extensive data cleaning and preparation, including handling inconsistencies, applying advanced data imputation techniques, and optimizing feature selection to ensure model reliability and accuracy
- I presented results and insights to the Finance team and stakeholders, emphasizing the model's accuracy, impact, and potential for improvements with richer datasets
- I delivered a formal end-of-summer intern presentation, detailing the technical methodologies and business implications, which received recognition for its clarity and actionable recommendations
Business Systems Analyst II
William O'Neil and Co.
12.2017 - 01.2020
- Developed SQL queries to validate the accuracy of real-time stock market data calculations displayed within mobile and web applications during three version rollouts
- Ensured that the live financial data that was streamed daily was being processed and presented correctly on the front-end of the apps, supporting a seamless and reliable user experience
- Designed and automated edge-case test scenarios using Selenium scripts which significantly enhanced testing efficiency and coverage
- Identified application vulnerabilities, developed testing scripts for them and prevented over 100 app failures, safeguarding application stability during and after deployment
- Communicated testing results and quality assurance metrics to development teams, driving informed decisions and continuous improvement throughout the rollout process
Student Learning Center Mathematics Tutor
University of California, Berkeley
06.2017 - 08.2017
- Provided individualized and group tutoring for entry-level college algebra, and precalculus, covering topics such as graphs, inequalities, rational functions, logarithmic functions, unit circle, exponential growth, and trigonometry
- Collaborated with colleagues during weekly staff prep meetings to refine our teaching strategies and ensure consistent, high-quality academic support
- Maintained a welcoming and inclusive learning environment where students from diverse ethnic, cultural, educational, and linguistic backgrounds felt supported
- As a Summer Bridge alumna, it was particularly rewarding to return as a tutor for the program that ignited my passion for mathematics and set the foundation for my academic journey at Cal
Undergraduate Researcher
University of California, Berkeley
06.2016 - 05.2017
- Department: Redwood Center for Theoretical and Computational Neuroscience
- Simulated the human brain as it perceives depth in visual images by developing a computational model of neural occlusion
- Tested models using toy datasets to validate performance and to compare with other models of neural responses
- Developed familiarity with Python, Theano, and machine learning
- Participated in regular meetings to discuss aspects of research and experiments.
Undergraduate Researcher
University of California, Berkeley
06.2014 - 05.2015
- Department of Astronomy
- Discovered supernova SN2015c; it was published and confirmed by the Central Bureau of Astronomical Telegrams in November 2015
- I used Python to conduct real-time remote operations on the Nickel Telescope through overnight shifts of exposure shots and troubleshooting
- Our exposure shots used blue, violet, red, and infrared filters in order to best extract the different materials present in each supernova
- My work on the KAIT telescope consisted of checking every day images that had been taken on the night before
- As an observer, it was upon my judgment to determine whether or not the images KAIT presented were indeed plausible supernova candidates or not
- My work culminated with Filippenko's group after my supernova candidate was discovered in the Spring of 2015
Education
Master of Science - Mathematics, Data Science Concentration
California State University, Channel Islands
Camarillo, CA05-2021
Bachelor of Arts - Applied Mathematics, Numerical Analysis Concentration
University of California, Berkeley
Berkeley, CA05-2017
Skills
- Python
- R
- SQL
- NumPy
- Pandas
- Scikit-learn
- SciPy
- TensorFlow
- Keras
- PyTorch
Accomplishments
- CoFounder of Data Detectives Dialogue at Chevron
- 2023 WIDS Internal Data Science Challenge Winner
- Facilitator for Lynwood Alumni STEM Advocacy Day
- Researcher Presenter at UCLA, UCD and CSUCI
Certification
- Data Analyst Nanodegree - Udacity
- Python for Data Science - Udemy
Leadership
- CoFounder of Data Detectives Dialogue at Chevron
- 2023 WIDS Internal Data Science Challenge Winner
- Facilitator for Lynwood Alumni STEM Advocacy Day
- Multi-time Research Presenter at UCLA, UCD and CSUCI
Languages
Spanish
Native or Bilingual
English
Native or Bilingual
Timeline
Data Analyst
Chevron Corporation
01.2023 - Current
Data Scientist
Chevron Corporation
06.2021 - 12.2022
Data Science Intern
Chevron Corporation
06.2020 - 08.2020
Graduate Teaching Assistant
California State University, Channel Islands
01.2020 - 05.2021
Business Systems Analyst II
William O'Neil and Co.
12.2017 - 01.2020
Student Learning Center Mathematics Tutor
University of California, Berkeley
06.2017 - 08.2017
Undergraduate Researcher
University of California, Berkeley
06.2016 - 05.2017
Undergraduate Researcher
University of California, Berkeley
06.2014 - 05.2015
Master of Science - Mathematics, Data Science Concentration
California State University, Channel Islands
Bachelor of Arts - Applied Mathematics, Numerical Analysis Concentration
University of California, Berkeley
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