Frank Ceballos Email & Phone Number

Spring, Tx, Us

Us

As 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 load data on scheduled intervals.- Build, deploy, secure, and maintain APIs used to meet the Risk Analytic team business needs. Specifically, I currently maintain a Python based API leveraged by a NodeJS web application that allows traders to calculate the VaR of individual trades and reports the portfolio VaR to upper management.- Build and maintain pipelines in Apache Airflow that extract financial data from external resources, transform it, and then load it into an on-premise database that can be leverage by developers, quants, traders, and other internal services.

Us

Facilitate 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 such as tools for analyzing geographical samples to determine well sites, automation of financial end-of-date reports, and monitoring tools that help engineers access the state of different well sites.- Lead one-on-one consults with different customers ranging from software developers to engineers and advise them on application architecture, help them troubleshoot and diagnose issues with current applications, and instruct them on usage of software developer tools such as Git, GitHub, GitLab, Containers, and OpenShift. - Create and maintain internal documentation for deploying micro-services on OpenShift such as PostgreSQL, PgAdmin, Apache Airflow, Jupyter Notebooks, and custom Python based web-applications.- Provide IT support for different applications hosted in OpenShift such as JupyterHub, cloud-based IDEs used by researchers, and web-based applications supported by different business teams across the globe.

Us

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 using PySpark.- Currently exploring different feature combinations and training and tuning different Machine Learning Classifiers to predict anomalous events. The results of these experiments are stored in MLFlow.

San Francisco, California, Us

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, Numpy, Scikit-learn, Keras, Matplotlib, Seaborn, and many more.Model Design and Selection with Scikit-Learn: • 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• Worked on analyzing credit card fraud data and developed a solution using Machine Learning techniques. Achieved highest performance with an Extra Trees classifier that would save millions of euros a year to financial institutions.• Documented results in an article published in Medium.Other Contributions:• Published a detailed explanation about decision trees in Scikit-learn, stacking Scikit-learn classifiers with Python, visualizing stock market data using Python, an installing a Python based machine learning environment on Windows.Current ongoing project: • Developing the front and back end of a web application that can be used to visualize, analyze, and model crypto-currency data in order to train and deploy a trading bot.Key Achievements:• +35,000 views on Medium each month.

Wi, Us

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.

Weslaco, Texas, Us

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 differentiated methods to address the needs of diverse student learners. Oversee the progress of students’ culminating projects and perform regular assessment through assignments, quizzes, and exams. Key Achievements:• 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.

Lawrence, Ks, Us

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 ultra-thin multilayer materials. Teamed with other scientifically-driven individuals including post-doctorates from Oak Ridge National Lab and simulation scientists from the University of Nebraska. Key Achievements:• 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.

Lawrence, Ks, Us

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 scenarios, to observe direct evidence of conservation of energy and momentum principles, to observe and quantify oscillation and wave propagation, and allowed students to understand certain basic concepts of electricity, magnetism, and circuits.Key Achievements:• 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.

Greenbelt, Md, Us

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.

Tx, Us

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.

Us

Wrote a program in Fortran that calculated the phonon dispersion curve from first principles for any two dimensional material.

Norman, Oklahoma, Us

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.

Medical Physics Certificate, Health/Medical Physics

Doctor Of Philosophy (Ph.D.), Condensed Matter And Materials Physics

Bachelor Of Science, Physics