Machine Learning/Data Scientist

DAVID J IMENEZ

personal information

email *.**********@********.***.**

phone +57-310-***-****

address Carrera 68D No 24B 48 Apt 725

education

****-**** ********** ************ ****** (KU Leuven) Master of Department of Computer Science.

Artificial

Intelligence

Leuven, Belgium

2009-2014 Universidad de Los Andes (Uniandes)

Bachelor of Department of Physics.

Science, Physics Bogota, Colombia

strengths

Machine Learning Data Science Artificial Neural Networks Computer Vision Support Vector Machines Bayesian Inference and Probabilistic Models Robotics Multi-Agent Systems

work experience

2014, May - 2015, May Consultant I

GMS

Management

Solutions

(Brazil, Colombia)

Gas Natural Fenosa (SAS, SQL, EXCEL) Conducted a project for K-Means clustering with the gas consumption data in Latin-America, for later use as prototypes for new customer classification.

Santander Bank (SAS, SQL, EXCEL) Conducted a data quality analysis project in which I performed data-distribution studies on different stages of the customer data to assure consistency and quality in all points of the storage. Developed a KPI dashboard. KPI and Dashboard development. 2014, February - 2014, May Founder, Director, and Developer Automte I founded the startup AutoMte for providing automation and wireless

(Colombia)

solutions to industry and consumers. As founder and director I was in charge of performing administrative tasks, project selection, and costumer handling. Furthermore I was the main developer for which I was in charge of designing, programing and assembling new products for the company. 2013, June - 2013, August Summer Intern

Dow AgroScience Gathered information from the databases, regarding agricultural related

(Colombia)

chemical imports in Colombia.

projects

X-Ray Teeth Segmentation: (Python, OpenCV) Automatic segmentation of the 4 frontal teeth in X-Rays using Active Shape Models (Computer Vision).

Time-Series Classification: (Python, TensorFlow, Keras, Pandas) Classification of labeled activities based on time series samples from accelerometers. Used Convolutional-Neural Networks (Deep Neural Networks) and sliding window algorithm.

Parkinsons Disease Diagnosis Contest: (Matlab) Class contest. Diagnosis of Parkinsons disease with Support Vector Machines based on brain tomographies. 3rd

place.

Breast Cancer and Diabetes Classification: (Matlab) Classification using Support Vector Machines trained with public access data for breast cancer and diabetes with 30 and 8 features respectively.

Santafe Laser Modeling: (Matlab) Modeling of the Santafe Laser data using recursive Neural Networks.

Multi-Agent System for Parcel Pickup and Delivery: (JAVA) Designed and simulated a dynamic-Contract Net Protocol with a custom auction energy-equation for task allocation, for an AGV-fleet in a warehouse.

California Housing Prices Modeling: (Matlab) Modeling of housing prices in California using Support Vector Machines and automatic relevance identification for feature selection.

computer skills

Languages python(TensorFlow, OpenCV, Scikit, Pandas, Keras) java prolog MatLab SAS SQL

LATEX.

thesis project

2016

Master Thesis “Hierarchical Holonic Architecture for Autonomous Reasoning Agents in Traffic Intersection Coordination”

Achievements:

Proposed a hierarchical holonic architecture of three types of agents which allows a efficient distribution of concerns between agents and a scalable complexity in the number of vehicles.

Conceptualized a shift from “grid” occupation representation primitives to the use of more natural primitives such as lanes - which encompass better the motion of vehicles and reduces computational efforts. This is possible due to the decentralization of the system and resulting autonomy of the agents.

Designed an intra-agent state machine architecture which has an expert knowledge system that dictates its behavior, as well as a deductive reasoning system for dealing with unforeseen events - contributing to the robustness of the system when eventualities occur. Problems are dealt locally.

Supervisor: Prof. dr. ir. Herman Bruyninckx, Mentor: Prof. dr. ir. Herman Bruyninckx

2

teaching experience

2011-2013 Exercise Session Teacher, Universidad de Los Andes Colombia

Exercise Session Provided assistance to students in a classical mechanics-physics exercise Teacher session.

2011-2013 Teacher Assistant, Universidad de

Los Andes Colombia

Teacher Assistant In charged of revising documents and presentations. Graded tests as well as provided assistance to students.

publications

2014, June

Momento Physics “Experimental Reconstruction for Polarization and Path Degrees of Magazine of the

National

University of

Colombia

Freedom: A Step Towards Encoding Two Qubits in a Single Photon For increasing the amount of information stored on a photon, we extend the dimensionality of the Hilbert space to store 2 qubits; into path and polarization degrees of fredom.

Link: http://www.revistas.unal.edu.co/index.php/momento/article/view/48043/49258 other information

Leadership 2015-2016 Master of Artificial Intelligence Student Representative Experience

2011-2012 Physics Bachelor Student Representative Languages Spanish Mothertongue

English Toefl/iBT: 111/120

Portuguese Intermediate (conversationally fluent) French Basic (simple words and phrases)

references

Dr. Herman Bruyninckx

Professor of Robotics

Katholieke Universiteit Leuven

(KU Leuven)

Celestijnenlaan 300B bus 2420,

Room 01.053, B-3001

Leuven (Heverlee), Belgium

(+32) 16 32 80 56

******.**********@****.********.**

Dr. Alejandra Catalina Valencia

Professor of Quantum Optics

Universidad de Los Andes

(Uniandes)

Carrera 1 18A-10, Bloque Ip.,

Room Ip-308

Bogota, Colombia

(+57) 332 4500

**.********@********.***.**

December 29, 2016

3

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