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education

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2014. M. Eng. in Computer Engineering. Stevens Institute of Technology.
Specialization: Artificial Intelligence and Machine Learning
[GPA: 3.733/4.000]

2007. B. Sc. in Mathematics. New York University.
2007. B. Eng. in Electrical Engineering. Stevens Institute of Technology.
[GPA: 3.765/4.000]

miscellanea

skills

>> Technology Skills
Python, R, Databases (SQL, NoSQL), Shell (Bash), Haskell, Elm, Scala, Computing (Cloud, Cluster/Distributed, Streaming, i.e. AWS, Hadoop, Spark, ...), Version Control (Git), OS (Unix, Linux, NixOS, Mac), Virtualization and Containerization (Vagrant, Docker, LXC, ...), LaTeX, ...

>> Teaching Skills
Data Science, Probability, Statistics, Mathematics, Programming, Computer Science, Engineering (Computer and Electrical), ...

>> Language Skills
Fluent in English and Yoruba; basic knowledge in Chinese, ...

awards

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2011 - 2012. Outstanding Teaching Assistant Award. Dept. of Electrical and Computer Eng. @ Stevens

2005 - 2007. National Science Foundation/DARPA REU Award

teaching

Spring 2017. Adjunct Professor. TM 605 A, W0 - Probability for Telecom Managers.
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An Introduction to Probability and Statistics.

Fall 2016. Guest Lecturer. MIS 637 A, B, WS - Knowledge Discovery and Data Mining I.
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lectures in r programming
lectures in python programming

Fall 2016. Guest Lecturer. CS 513 A - Knowledge Discovery and Data Mining I.
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lectures in r programming
lectures in python programming

Spring 2016. Teaching Assistant. MIS 676 A - Data Stream Analytics.
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Spring 2016. Guest Lecturer. MIS 637 A, B - Knowledge Discovery and Data Mining I.
Introduction to R and Python ...

Spring 2015. Teaching Assistant. MIS 676 A - Data Stream Analytics.
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Spring 2015. Guest Lecturer. CS 513 A - Knowledge Discovery and Data Mining I.
Data Mining using the Commandline, Python, and R ...

Fall 2014. Guest Lecturer. CS 513 A - Knowledge Discovery and Data Mining I.
Data Mining using the Commandline, Python, and R ...

Fall 2012. Teaching Assistant. E 115 A - Introduction to Programming.
C++ ...

Spring 2012. Teaching Assistant. E 245 A - Circuits and Systems.
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Fall 2011. Teaching Assistant. E 115 A - Introduction to Programming.
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research

Research Focus.
Streaming and Sensor Analtyics, Internet of Things, ...

publications

Present.

In progress...


2007.

Y. Meng, O. Kazeem, and J. Gan, A Bio-Inspired Multi-Robot Coordination Approach, International Workshop of MARS 2007, Angers, France. here

Y. Meng, O. Kazeem, and J. Muller, A Swarm Intelligence Based Coordination Algorithm for Distributed Multi- Agent Systems, IEEE KIMAS, 2007 MA, USA. here

Y. Meng, O. Kazeem, and J. Muller, A Hybrid ACO/PSO Control Algorithm for Distributed Swarm Robots, IEEE SIS 2007, Hawaii, USA. here

experience

2013-Present. Research/Teaching Assistant. Stevens Institute of Technology.
Researching analytics methods for streaming and sensor data with specific concentration in sampling, sketching, sliding window, and outlier techniques. Focus of research interest are in the areas streaming data analytics with specific applications to Internet of Things industries. Assist with developing course materials (i.e. lectures, assignments, reports) in the emerging area of study in massive streaming and sensor data.
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2014. Data Scientist. RunAds (acquired by Publicis).
Analyzed times series data for computational advertising click through rate and conversion prediction. Developed data‐driven applications from backend ETL to frontend visualization. Researched and engineered methods for sponsored search and real‐time bidding systems.
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2013, Summer. Research Intern. Cyberflow Analytics.
Managed efforts of the research intern team, which included aspects from big data database infrastructures to high­‐performance visualization software. Performed exploratory data analysis for shallow packet inspection (SPI) of libpcap data dumps using Wireshark, R, and Python of 3 million network session level records (which were reconstructed from 36 million packet level records) for SPI development. Researched stream and sensor applications, methods, and techniques in big data using mathematical and statistical models, machine learning, analytics, and visualizations.
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2012-2013. Co-Founder. Yesgoody.
Founded a business intelligence startup that provided analytics solutions to small business and local merchants. Developed a viable product with several local merchants engagement for the merchant operating system (MOS). Intended to create an efficient market for local merchants, customers, and other participants in a given community by being the central community data provider.
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2011-2012. Teaching Assistant. Stevens Institute of Technology.
Research work in artificial neural networks and machine learning paradigms with direct application to bioinformatics and prediction analysis. Taught 100+ first year undergrads across 4 lab recitation sections in fundamentals and object­‐oriented programming in C++.
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2009-2011. Risk Technology Associate. Bank of America Merrill Lynch.
Improved the process of risk analysis and reports by creating standardized template system for risk data analysis to clients. Prepared reports for risk managers in the credit lines of business (credit product coverage includes corporate and sovereign bonds; and cd swaps, indices, tranches, and bespokes).
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2007-2009. Investment Bank Technology Analyst. JPMorgan Chase & Co.
Worked with multiple lines of business to manage timely and successful data sourcing of Market Risk information across the Investment Bank to capture information for use by risk management systems.
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2005-2007. Swarm Algorithm Researcher. New York University and Stevens Institute of Technology.
Led and coordinated an 8 member research initiative funded by the National Science Foundation (NSF) and Defense Advanced Research Projects Agency (DARPA). Developed and published new optimization algorithm which employed a synergistic and evolved approach to fundamental swarm theories in Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO).
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zzz's

Cooking...

Graffiti...