Frank Ceballos Email & Phone Number
@exxonmobil.com
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Who is Frank Ceballos? Overview
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Frank Ceballos is listed as Data Engineer at ExxonMobil at ExxonMobil, a company with 64273 employees, based in Spring, Texas, United States. AeroLeads shows a work email signal at exxonmobil.com and a matched LinkedIn profile for Frank Ceballos.
Frank Ceballos previously worked as Data Engineer at Exxonmobil and Application Delivery Specialist at Exxonmobil. Frank Ceballos holds Medical Physics Certificate, Health/Medical Physics from Medical College Of Wisconsin.
Email format at ExxonMobil
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About Frank Ceballos
Competencies: data science, machine learning, data mining, data visualization, python, pandas, scikit-learn, keras, matplotlib, matlab, seaborn, SQL, ultra-fast lasers, experiments, problem-solving, containers, openshift, apache airflow, web-apps, Microsoft-automate, Azure Data Bricks, ML Flow, Azure Functions App, Azure Data Factory, Guitar Playing 🎸
Listed skills include Student Affairs, Teaching, Latex, University Teaching, and 46 others.
Frank Ceballos's current company
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Frank Ceballos work experience
A career timeline built from the work history available for this profile.
Data Engineer
CurrentAs a data engineer, I help maintain a PostgreSQL Server and the pipelines that collect data from different resourcesKey Achievements:- Build, deploy, and maintain PostgreSQL servers in OpenShift to meet different business needs. This includes building and deploying Apache Airflow webservers, schedulers, and workers that are used to extract, transform, and.
Application Delivery Specialist
CurrentFacilitate the onboarding process of applications developed by Data and Computational Scientist, Geoscientist, Reservoir Engineers, and other non-IT employees into the OpenShift cloud development platform.Key Achievements:- Successfully helped +10 teams onboard locally developed web-applications into OpenShift. Some of these applications include services.
Data Scientist
Collaborate with data and reservoir engineers to develop a machine learning model that predicts anomalous events in gas pipelines to reduce downtime.Key Achievements:- Extracted raw time-series data, cleaned, labeled, and stored data in a target location using DataBricks.- Developed a feature engineering pipeline that creates rolling and gradient features.
Data Science Content Writer
- I've contributed articles on data science to Analytics Vidhya and Toward Data Science publications. My focus is around data processing, data visualization, and machine learning using packages in Python such as Pandas.
- Build a Python pipeline to analyze and compare the predictive performance of 18 Scikit-learn classifiers such as Support Vector Machines, Neural Networks, and Random Forest.
- Applied feature selection methods and performed an exhaustive grid-search of the hyper-parameter space to determine the optimal tuning of each classifier.
- Documented results in an article published in Towards Data Science. Searching for Pulsars Using Machine Learning:
- Developed and automated pipeline in Python for pulsar (a type of star) classification task that obtained state-of-the art results (99% recall and false positive rates less than 0.32%).
- Documented results in an article published in Medium.Credit Card Fraud Detection
Postdoctoral Fellow
- As a medical physicist on training is my duty to conduct research on the field of radiation oncology as well as to keep up with medical duties.Key achievements:
- Extracted +1000 features from clinical data (radiation therapy plans) using Matlab.
- Implemented a feature selection pipeline to reduce redundant and noisy features.
- Tuned, trained, tested, and compared the predictive capabilities of machine learning algorithms (Random Forest, Extra Trees, Extreme Gradient Boosting) for a classification task.
- Performed monthly machine quality assurance on Artiste Siemens medical linear accelerator.
- Performed patient quality assurance on Siemens, Elekta, and Radixact medical linear accelerators.
Physics Teacher
- Utilize industry best pedagogical approaches to instruct Advanced Placement (AP) Physics to approximately 100 high school sophomores. Develop lesson plans and accompanying supplementary materials that utilize.
- Stay abreast of educational trends by attending professional development trainings, faculty meetings, and topic-specific webinars.
- Improve student performance by facilitating weekly tutoring sessions to review challenging material and ensure student concerns are answered.
Graduate Researcher
- A massed knowledge of ultrafast laser techniques and mentored six graduate students through innovative techniques and research projects. Utilized non-invasive optical techniques to characterize the properties of.
- Collected data on stacked 2D layered materials through the design, development, and execution of novel ultrafast laser experiments.
- Authored, reviewed, and revised 18 papers, reporting findings in various scientific journals including Advanced Function Materials, Nano Letters, and ACS Nano.
- Utilized extensive public speaking and presentation skills to stand before field experts to present results at local, state, and national scientific meetings.
Teaching Assistant
- Duties included teaching and grading introduction laboratory physics courses. Labs allowed students to analyzed the motion of objects under constant acceleration, apply Newton’s laws of motion for different experimental.
- Taught physics labs for 25-student classes and coordinating office hours for students requesting additional help.
- Collaborated with the physics professor to address the needs of 150 – 200 students per physics course. Assisted the professor in the grading of lab reports utilizing a rubric.
Student Intern
- Distinguished between galaxies in the proximity of the detection range of the Laser Interferometer Gravitational-Wave Observatory through the analysis of large sets of data using Python. Key Achievements:
- Ensured the gravitational waves galaxy catalogue remained current and presented findings at the culmination of the summer intern poster competition.
Undergraduate Researcher
- Hand-selected to function as a key member of the team tasked with conducting remote observations using the Arecibo Observatory. Utilized C++ to simulate and perform statistical analysis on data sets. Key Achievements:
- Modeled the population of pulsars (a type of star) in the galactic plane using C++.
- Analyzed the resulting population of pulsars and reported on the results on local and state scientific meetings.
Student Intern
Wrote a program in Fortran that calculated the phonon dispersion curve from first principles for any two dimensional material.
Student Intern
Conducted in-depth investigations on the techniques utilized to cool molecular samples to near absolute zero. Key Achievements:Cooled and trapped atoms trough the utilization of a self-designed and engineered diode laser.
Colleagues at ExxonMobil
Other employees you can reach at exxonmobil.com. View company contacts for 64273 employees →
Juliette Stewart
Colleague at Exxonmobil
Kyiv, Kyiv City, Ukraine, Ukraine
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Rob Mayorga
Colleague at Exxonmobil
Corpus Christi, Texas, United States, United States
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VG
Viktória Guzmits
Colleague at Exxonmobil
Budapest, Budapest, Hungary, Hungary
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Ganesan Subramanian
Colleague at Exxonmobil
Bellaire, Texas, United States, United States
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SV
Sri Venugopal Upadhyayula
Colleague at Exxonmobil
Andhra Pradesh, India, India
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EO
Ekuvero O
Colleague at Exxonmobil
Nigeria, Nigeria
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ZF
Zoltan Furj
Colleague at Exxonmobil
Hungary, Hungary
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DN
Dave Nanini
Colleague at Exxonmobil
Goleta, California, United States, United States
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RG
Rodrigo Garcia
Colleague at Exxonmobil
Álvaro Obregón, Mexico City, Mexico, Mexico
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AH
Anderson Hill
Colleague at Exxonmobil
Kirkland, Washington, United States, United States
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Frank Ceballos education
Medical Physics Certificate, Health/Medical Physics
Doctor Of Philosophy (Ph.D.), Condensed Matter And Materials Physics
Bachelor Of Science, Physics
Frequently asked questions about Frank Ceballos
Quick answers generated from the profile data available on this page.
What company does Frank Ceballos work for?
Frank Ceballos works for ExxonMobil.
What is Frank Ceballos's role at ExxonMobil?
Frank Ceballos is listed as Data Engineer at ExxonMobil at ExxonMobil.
What is Frank Ceballos's email address?
AeroLeads has found 1 work email signal at @exxonmobil.com for Frank Ceballos at ExxonMobil.
Where is Frank Ceballos based?
Frank Ceballos is based in Spring, Texas, United States while working with ExxonMobil.
What companies has Frank Ceballos worked for?
Frank Ceballos has worked for Exxonmobil, Medium, Medical College Of Wisconsin, Idea Public Schools, and The University Of Kansas.
Who are Frank Ceballos's colleagues at ExxonMobil?
Frank Ceballos's colleagues at ExxonMobil include Juliette Stewart, Rob Mayorga, Viktória Guzmits, Ganesan Subramanian, and Sri Venugopal Upadhyayula.
How can I contact Frank Ceballos?
You can use AeroLeads to view verified contact signals for Frank Ceballos at ExxonMobil, including work email, phone, and LinkedIn data when available.
What schools did Frank Ceballos attend?
Frank Ceballos holds Medical Physics Certificate, Health/Medical Physics from Medical College Of Wisconsin.
What skills is Frank Ceballos known for?
Frank Ceballos is listed with skills including Student Affairs, Teaching, Latex, University Teaching, Research, Qualitative Research, Higher Education, and Matlab.
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