Charlene V. San Buenaventura, ECE, MSc.

2927 Amaia Shaw North Tower, Mandaluyong

0917 183 8993

[email protected]

MS Electrical Engineering graduate from the University of the Philippines, Diliman, with four years of academe and industry experience in Data Science and Deep Learning..

Work Experience

Sr. Data Scientist – April 2019 to Present Natural Intelligence Solutions Pte. Ltd.,Ortigas

• Served as project manager and technical lead in an Video Analytics, Image Recognition and NLP project using Python, Tensorflow, Tensorflow.js, Keras, PyTorch, FastAI, and OpenCV.

• Prepared, pre-processed, trained, applied, assessed, and exported Deep Learning model in an end-to-end pipeline.

• Worked and communicated directly with country manager, and clients.

Data Scientist– July 2018 to April 2019 Trends and Technologies, Inc., Makati

• Served as technical lead in a Video Analytics project using Python, Tensorflow, and OpenCV.

• Prepared, pre-processed, trained, applied, assessed, and exported Deep Learning model in an end-to-end pipeline.

• Worked and communicated directly with project manager, overall manager, and client; mentored Data Science Associates and provided skills training in Data Science.

Instructor – August 2017 to June 2018 University of Santo Tomas, Manila

• Published five (5) papers on Deep Learning, Machine Learning and Statistical Analysis applied to Biomedicine, Motion Sensors, and Human Speech in IEEEXplore, and The Ascendens Asia Journal of Multidisciplinary Research Abstracts (AAJMRA) with undergraduate students from the University of Santo Tomas as thesis and research adviser.

• Lectured on Deep Learning, Probability and Statistics, Digital Signal Processing, Transmission Media and Antenna Systems, Electromagnetism, Strength of Materials, and Dynamics of Rigid Bodies at the University of Santo Tomas. Lecturer – November 2014 to August. 2016 Review Finest (RF) ECE Review Center, Manila

• Lectured on Algebra, Solid and Analytic Geometry, Trigonometry, Differential and Integral Calculus, Differential Equations, Advanced Engineering Mathematics, Elementary Physics, Mechanics, Dynamics, Electric Circuits, Wireless Communications, Acoustics, and Engineering Economy.

Education

University of the Philippines, Diliman – Graduated June 2018 M.S. in Electrical Engineering

• Recipient of IPA Award.

• Recipient of the Engineering Research and Development for Technology (ERDT) Scholarship.

• Masters Thesis: C. V. San Buenaventura, “Deep learning framework for human activity recognition based on multi-sensor fusion in smartphones,” 2018.

• Presented book chapter, “Deep learning for smartphone-based human activity recognition using multi-sensor fusion,” at the 11th EAI International Wireless Internet Conference on October 26-27, 2018 at TaiChung, Taiwan, which was published in Wireless Internet in Springer.

• C. V. San Buenaventura and N. M. C. Tiglao, “Basic Human Activity Recognition based on sensor fusion in smartphones,” 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), Lisbon, 2017, pp. 1182-1185.

• Used Python, Tensorflow, Numpy, Keras, Sci-kit learn, Pandas, Android Studio, Weka, Arduino, MATLAB, and OpenCV.

University of Santo Tomas – Graduated Apr. 2014 B.S. in Electronics Engineering

• Awarded Cum Laude.

• Recipient of the Department of Science and Technology (DOST) Scholarship.

• Undergraduate Thesis: C. V. San Buenaventura, “Design and implementation of H.264/AVC multiview video coding over wireless networks,” 2014.

• Used MATLAB, C, C++, PSpice, Zilog Developer Studio, CISCO Packet Tracer, and Visual Studio.

• Completed CISCO Networking Academy CCNA 1, 2, 3 and 4.

Skills

• Adept in Python, Tensorflow, Keras, OpenCV, Scipy, Sci-kit learn, MATLAB, C, Numpy, Pandas, and Matplotlib.

• Knowledgeable in Tensorflow.js, PyTorch, FastAI, Java, JavaScript, C++, Android Development, Tableau, SQLite3, Weka and Arduino.

• Proficient in Microsoft Word, PowerPoint, Excel, Publisher and Visio.

Seminars / Conferences Attended

Resource Speaker, Google Developer Group Philippines: Women Techmaker Manila 2019, March 30, 2019, The Globe Tower, BGC, Taguig

Presenter,WICON 2018 – 12th EAI International Wireless Internet Conference, October 26-27, 2019, TaiChung, Taiwan

Research Adviser, 2nd International Conference on Intelligent Systems Engineering 2018, March 20, 2018, Kuala Lumpur, Malaysia

Research Adviser, 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), November 29 to December 2, 2017, Hotel Jen, Roxas Blvd., Pasay City, Manila, Philippines

Research Adviser, 4th Joint Multidisciplinary Research Conference, February 17, 2018, DAP Conference Center, Tagaytay City, Cavite, Philippines

Guest Speaker, 3rd Avenue: Third Year Orientation. August 25, 2017, Engineering Conference Hall, Roque Ruano Building, University of Santo Tomas

Presenter, EEE Tech Fair, May 24, 2017, UP BGC

Publications

San Buenaventura, C. V., Tiglao, N. M., & Atienza, R. (2018), Deep Learning for Smartphone-Based Human Activity Recognition Using Multi-sensor Fusion. 11th EAI International Wireless Internet Conference 2018, Taipei, Taiwan.

San Buenaventura, C. V., & Tiglao, N. M. (2017). Basic Human Activity Recognition based on sensor fusion in smartphones. 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), Lisbon, Portugal.

Alicante, D. J. M., Andor, S. C., Cabantog, J. M. K, Juan, M. D. C., San Buenaventura, C. V. (2018). Fall Detection in Smartphones using Convolutional Neural Networks. 2nd International Conference on Intelligent Systems Engineering 2018, Kuala Lumpur, Malaysia.

Best Paper Award, Bonifaco, H., Guzman, K. R., Jara, J. N., Jasareno, A. D., Zabala, A. C., Prado, S. V., & San Buenaventura, C. V. (2017). Comparative analysis of Filipino-based rhinolalia aperta speech using mel frequency cepstral analysis and Perceptual Linear Prediction. 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM).

Adamos, A. C., Beredo, J. D., Garcia, C. J., Mateo, W. B., Villalobos, M. J., Prado, S. V., San Buenaventura, C. V. (2017). A comparison of brain activities stimulated by playing different video game genres using Electroencephalogram signal analysis. 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM).

Marcelo, C. A., Pasquin, Z. R., Pichay, A. D., Tan, M. L., Simon, M. F., Prado, S. V., San Buenaventura, C.V., Nicasio, M. S. (2017). Characterization and comparison of brain wave signals during deception. 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM).

Calupit, K., Canono G., Damasco S. A., Morte, J., Torrecampo, J., San Buenaventura C. V. (2018). A Comparative Study on the Accuracy of EEG-Based and sEMG-Based Fatigue Level Measurement. 4th Joint Multidisciplinary Research Conference.