Austin, Texas, United States
On-the-fly problem solver seeking elegant solutions to Machine Learning challenges while bridging the gap between Math and Programming. With a degree in physics to fuel my passion, I am endlessly searching for ways to explain and model the world around me. Whether trying to better understand probability within quantum mechanical systems or the performance of a machine learning algorithm, my skills within Data and Mathematics have driven me through my exploration of software and analytics. Remember: All models are wrong, some are useful. As an intern at a machine learning startup, I successfully implemented training data analytics and visualization for a Natural Language Processing Sequence 2 Sequence model. My physics and computer science experiences have developed within me the abilities to think critically, efficiently, and adaptively, which are all skills that expand far beyond my fields of study. Through data science and software development, I am able to introduce and implement code-based solutions that boost the accuracy and efficiency of a task. I thrive in leadership roles that allow me to effectively unify my team’s effort and expertise. I strive to maintain a general understanding of projects as a whole, as it helps maintain the quality and purpose of my individual contributions. As a member of the Physics Honors Society, Sigma Pi Sigma, I have earned many accolades, awards, and achievements along the way including Loyola’s Physics Achievement Award and an invitation to present the results of my research at the National Conference of Undergraduate Research. With my strong background in mathematics, statistics, and analytical problem solving, I am eager to apply these skills in the field of Data Science and push the limits of my abilities. Connect with a message or explore my GitHub project portfolio to discover more about my background and interests. Education: B.S. Physics - Applied Science concentration | Computer Science Minor | Business Minor Skills: Python, Anaconda, Pandas, NumPy, Sci-kit Learn, Matplotlib, Jupyter, Git, Github, Linux, Command Prompt, Shell, bash, TensorFlow, TensorBoard, Java, Eclipse, PyCharm, Computer Engineering, Assembly, Machine Learning, Deep Learning, SQL, MySQL, Mathematica, Excel, Access, Minitab, LabView, NI Multisim, regression, OOP, Multivariable Calculus, Differential Equations, Keywords: Data, Data Analyst, Data Science, Data Scientist, Software, Programming, Math, Physics, Statistics, Business, Analysis, Springboard, Data Science Career Track, Boot camp, Data Science Projects
- Driving customer activation and adoption of Atlassian Intelligence, Rovo, and CBP implementation for 11.3M users. - Building segmentation models, dbt/airflow pipelines, and dashboards to enable product, marketing, and engineering teams. - Establishing source of truth customer data resources for technical & non-technical stakeholders. - Root cause and edge-case analysis for technical program management and design driving core company initiatives.
- Generated 65% internal ROI on managed ad campaigns resulting in $5.7M annual Revenue. - Analyzed site and user behavior data to improve down-funnel metrics and KPIs. - Performed multivariate testing to optimize internal algorithmic performance.
- 600+ hours of an intensive data science curriculum with a specialization in Deep Learning. - Completed in-depth projects for Data Wrangling, Statistical Inference, and Machine Learning. - Developed a Recurrent Neural Network to predict a stock's expected returns.
- Provided data driven insights to optimize staffing, pricing, and operation processes. - Leveraged MindBody API customer and appointment data for predictive analysis.
- Developed a computer algorithms course that explores mathematical solutions to STEM problems. - Solved physics, calculus, and CS problems in fast-paced and on-the-fly situations.