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MSc. expert in data science, programming| 8+ years teaching expe.
Frank D.

5.0 (1 ratings)

2 hours tutoring

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Hourly Rate: $39
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About Frank

Bio

Hi! I'm a data analyst and adjunct lecturer with 8 years of teaching experience at Virginia Tech. I’ve delivered instruction in programming, data analysis, and applied statistics, working with learners at various levels. I’ve led both live and online sessions tailored to everyone from beginners to experienced developers. My teaching portfolio includes Python(scripting), Java, C, C++ (STL), Assembly, object-oriented programming, data structures, and algorithms—always with a focus on connecting...

Hi! I'm a data analyst and adjunct lecturer with 8 years of teaching experience at Virginia Tech. I’ve delivered instruction in programming, data analysis, and applied statistics, working with learners at various levels. I’ve led both live and online sessions tailored to everyone from beginners to experienced developers. My teaching portfolio includes Python(scripting), Java, C, C++ (STL), Assembly, object-oriented programming, data structures, and algorithms—always with a focus on connecting theory to real-world application.
Professionally, I work as a data analyst at Kaiser Permanente, where I develop statistical models to analyze patient outcomes and improve operational efficiency across departments. I’ve also built forecasting models to support strategic decision-making using tools like Python (NumPy), SQL, and Power BI. I also offer instruction in database, API development, version control with Git and data visualization.
My Bachelor’s degree in Computer Science and a MSc in Data Science from Old Dominion University has equipped me with a strong foundation in both theoretical and applied aspects of technology. Over the past 9 years, I’ve worked as a data analyst across multiple sectors, developing predictive models, building data pipelines, and translating raw data into actionable insights. This real-world experience allows me to connect classroom concepts with professional applications in every tutoring session.
My teaching philosophy centers on clarity, relevance, and adaptability. I believe students learn best when complex concepts are broken down into real-world examples that show not just how things work, but why they matter. Whether I’m teaching Python for data analysis, guiding students through algorithm design, or helping them interpret real datasets, I focus on making ideas understandable and relevant to modern tech careers. I adapt my approach to each student’s goals and learning style, creating a supportive environment that builds both confidence and skill. Book now and let's learn together!

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Education

Old Dominion University
Computer Science
Old Dominion University
Masters

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Approved Subjects

C++

C++

With over 8 years of experience with C++ , I offer a profound understanding of the language, from interpreting complex code to grasping its underlying mechanics and "what's going on under the hood." My strong background in problem-solving and logic enables me to master both intricate code blocks and large-scale applications. As an adjunct lecturer with 8 years of teaching experience, I've guided students through extensive C++ curricula at both undergraduate and graduate levels. My expertise covers C++ (including STL), object-oriented programming (OOP), data structures, and algorithms. I've applied C++ extensively competitive programming, showcasing its versatility and power. In my role as a data analyst, I've leveraged C++ for developing highly optimized algorithms and performance-critical data processing tools, demonstrating its application in demanding analytical environments. I continue to use C++ and C# daily in industry, ensuring my knowledge remains current and practical. Drawing from this deep practical and academic experience, I help students not only master C++ syntax and semantics but also confidently apply object-oriented programming concepts to solve complex problems and complete assignments. My comprehensive background ensures I can guide you through real-world C++ applications, fostering the critical thinking and problem-solving skills essential for success. Let's master C++ together!
Computer Science

Computer Science

I'm an adjunct lecturer with 8 years of teaching experience at Virginia Tech, bringing a deep and practical understanding of Computer Science to every tutoring session. I've guided students through a wide range of core CS topics, including programming (Python, Java, C, C++, Assembly), data structures, algorithms, and object-oriented design. My expertise spans from foundational concepts to advanced subjects, always emphasizing the crucial connection between theory and real-world application. My academic foundation is robust, with both a Bachelor’s degree in Computer Science from the Old Dominion University. Beyond core coursework, I pursued advanced studies in Artificial Intelligence, Machine Learning, and Network Security, further solidified by HarvardX's Computer Science for Artificial Intelligence. This comprehensive education provided me with in-depth knowledge across essential areas like Software Development & Design, Operating Systems, Computer Architecture, and Database Systems. I also delved into advanced domains, including Artificial Intelligence, Machine Learning, and Network Security. I'm highly proficient in several programming languages, including C++, Python, Java, JavaScript, and C.
Cybersecurity

Cybersecurity

Bringing 8 years of teaching experience as an adjunct lecturer, I am a cybersecurity expert specializing in both defensive and offensive security. My expertise is grounded in a deep understanding of protecting systems and networks. My Master's degree in Computer Science provided a strong foundation in network security and system-level concepts. I provide practical instruction in cyber-range and CTF (Capture The Flag) challenges, and am highly proficient with industry tools like Kali Linux, Wireshark, nmap, and forensic suites such as SIFT and FTK. I also teach secure scripting in Python, C++, and Java. My goal is to empower you with the skills and mindset to thrive in the cybersecurity field. I focus on practical application, ensuring you not only understand theory but can actively defend against and analyze cyber threats effectively. Let's master cybersecurity together!
Data Analysis

Data Analysis

As an experienced data analyst and adjunct lecturer with 8 years of teaching experience at Virginia Tech, I bring a practical and insightful approach to data analysis. Professionally, I've spent over 9 years leveraging data to drive real-world improvements at organizations like Kaiser Permanente. My expertise spans developing statistical and forecasting models, building data pipelines, and translating complex data into actionable insights. I'm proficient with tools like Python (NumPy), SQL, and Power BI, and skilled in areas from data cleaning and visualization to advanced statistical tests and predictive modeling. My experience also includes database management, API development, and version control. My academic foundation includes an M.Sc. in Data Science from Old Dominion University and a B.Sc. in Computer Science. This rigorous background, combined with my industry work, enables me to connect classroom concepts with professional applications. I teach data analysis for machine and deep learning applications, focusing on clarity, relevance, and adaptability to build confidence and critical thinking in every student. Let's unlock the power of data together!
Data Science

Data Science

I am a data science professional with over six years of hands-on experience in analytics, machine learning, and instructional delivery. My background bridges both industry and academia, having served as a data analyst and adjunct lecturer with years of experience teaching programming, applied statistics, and data analysis to learners of all levels. In 2019, I completed the Microsoft Professional Program in Data Science, a comprehensive training series that emphasized real-world problem solving in areas such as feature engineering, predictive modeling, and data communication. I currently work as a data analyst at Kaiser Permanente, where I develop statistical models to assess patient outcomes and design forecasting tools to inform operational strategies. My technical toolkit includes Python (NumPy, pandas), SQL, Power BI, and Git, with practical expertise in database design, data pipelines, and API integration. My credentials include a Master's in Data Science from Old Dominion University and a Data Science Professional Certificate from IBM, reflecting a strong grasp of both the theoretical and applied dimensions of data science. I also have extensive experience teaching Python, Java, C/C++, algorithms, and data structures—always tying core concepts to their practical applications in tech and analytics.
Machine Learning/ AI

Machine Learning/ AI

As an adjunct lecturer with 8 years of teaching experience and a Machine Learning & AI expert, I guide students through complex AI/ML concepts with practical, real-world application. With over 9 years as a data analyst at organizations like Kaiser Permanente, I have extensive experience with machine learning algorithms using Python, specializing in clustering, regression, classification, Natural Language Processing (NLP), and Convolutional Neural Networks (CNNs). My work involves implementing data analysis techniques to extract insights from operational/technical data, developing predictive models, and leveraging tools like pandas, NumPy, and scikit-learn. I also possess practical knowledge in API integrations and web applications for large datasets and automated predictive solutions. Holding an M.Sc. in Data Science and an M.Sc. in Computer Science, my academic background is robust. I'm excited to work with students on introductory ML topics (Classification, Regression, Clustering, Data Exploration) and AI concepts (Search Agents, Backtracking, Minimax, A*, Reinforcement Learning), fostering critical thinking and problem-solving skills for real-world success. Let's explore the exciting world of Machine Learning and AI together!
Web Design

Web Design

Bringing a combined over 5 years of professional experience at a web application company and 8 years as an adjunct lecturer, I am an expert in crafting high-performance, user-centric web solutions. My expertise spans front-end and back-end development, user interface design, and application troubleshooting. I am highly proficient in tools and frameworks like HTML, CSS, JavaScript (React, React Native), Python, and WordPress, along with design software such as Photoshop, Figma, and InVision. With a deep understanding of User Experience, I've conducted UX design and research for organizations, and can teach Usability Testing, ensuring dynamic and user-friendly web solutions. My experience building websites for companies, combined with my Bachelor's degree in Computer Science, allows me to accelerate your learning. I focus on connecting theoretical concepts with hands-on, real-world web projects, empowering you to confidently tackle complex design and development challenges.
C
Computer Programming
Java
JavaScript
Python
SQL
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Reviews

ECDSA Encryption

Frank was helpful and very patient during the session. He shows you everything in a real time and allows you to follow along.

John, 1 lesson with Frank
Hourly Rate: $39
Response time: 2 hours
Contact Frank