SUMMARY:

• I look forward to helping my clients solve their toughest data problems by continuing a data science/scientific software engineering and management career, helping them to utilize technology and data science to answer critical business questions, improve availability, increase operational efficiency, and inform product development.
• My area of expertise includes data mining, image mining, pattern recognition and machine learning.
• 9 years of data science (worked Data mining, Pattern mining, NLP, Image recognition and processing for generating insight, worked frequentist and Bayesian statistics, Artificial Intelligence, and Evaluation research, Machine learning and Statistical and Stochastic Modeling and simulation. Worked C++ & OpenCV, MATLAB, Python/Scikit/NumPy/Pandas, SparkMLlib/SparkStreaming/Java and Scala on EC2, Splunk/Hunk, Elasticsearch & Kibana & Logstash, Tableau dashboard, Anaconda/Tensorflow, RepastJ, data mining using R & libraries, SAS, SPSS),
• 9 years of professional scientific software engineering (worked frameworks including C++/C#/.NET & ASP.NET Webforms, MVC Razor pages and Java/Struts/Spring, WCF web services and MS PaaS Azure cloud tech, XML, SQL) and presentation of responsive websites and clearer visualization of charts, sections, maps on the web using technologies including JavaScript (D3 & jQuery), Html5, SVG and Css3,
• 10+ years of operations software development and support (worked Shell, Perl and Python scripting, logical data modeling, physical database implementation, stored procedures, and data warehousing, Queue sys - Kafka (UNIX, Microsoft SQL Server/ADO.NET/Transact-SQL, and Oracle RDBMS/ JDBC/JPA/Hibernate)
• 2 year of high performance computing (worked Hadoop and Apache Mahout analytics, Hive against Datameer/Hortonworks Hadoop big data portal).
• 9 years of Data Science (currently use the following tools and framework: R, Python, MATLAB, Javascript, Java and Scala with Apache Spark, Kafka, Oxdata H2O, HortonWorks Hadoop, Google TensorFlow, OpenCV.
• Data Visualization, D3 javascript library, Splunk web framework for web visuals, data stacks, alerts, dashboards, ArcGIS, C#/ASP.NET.
• Splunk/Hunk 6.x forwarder, indexer and search-head for ingesting and aggregating real-streaming time data, ElasticSearch & Kibana & Logstash,Hive against Datameer Hadoop big data portalworked Spatial analytics - auto-correlation modeling, spatial econometric models, Topological data analysis;
• Pattern recognition Conditional Random Fields, Hidden Markov Models, Maximum Entropy Markov Models, Mixed models, SIFT/SURF/RANSAC; worked Data analytics Machine learning algorithms and concepts - Ensembles, Deep Learning, SVM, A/CNN, Random Forest, Bagging trees, Stochastic modeling and simulation - MCMC tools, Optimization - Genetic algorithms, gradient descent; Artificial Intelligence -Game theory, Reinforcement learning, worked Image processing, Fourier, Wavelet and Matrix decomposition, Graphical models including HMM, MCMC, Kalman filter, AI, Gibbs steps, Metropolis-Hastings steps, Bayesian methods, Bootstrapping using using C++/OpenCV, MATLAB, Python/Scikit/NumPy/Pandas SparkML/SparkStreaming, Splunk Streaming, Anaconda/Tensorflow, Google Analytics, RepastJ, data mining using R, SAS, SPSS; Tableau dashboard, subsurface velocity modeling, AUV Deepwater offshore Sonar multibeams for 3D/4D surveys, Seismic Sections, Acoustic logs, Seismic synthetics, geophysical surveys, worked processes including acquisition surveys, multibeam processing, seismic processing, finite difference by Fourier methods and element numerical methods, Geostatistics, Semivariogram, Covariances, Autocorrelations, Kriging, USGS MODFLOW, AUV survey tools (SSS, MBES, SBP, Photomosaic), used geophysical software including SMT Kingdom suite, StarFix, Caris, ESRI ArcGIS, SDE, ArcObjects and Python, Google Map API and JavaScript/jQuery),

PROFESSIONAL EXPERIENCE:

Confidential, Tucson, AZ

Adjunct Faculty

Responsibilities:

• I develop curriculum and teach Confidential and Confidential online computer science classes as assigned by the chair of the dept of computer science in accordance to the mission, policies and procedures of the college.
• The adjunct contract entails the time I spend preparing for and teaching the course and the time spent to be available to students before and/or after class.
• Programming & Problem Solving I & Data Science in Java, Python, CIS120 - Computer Applications for Business, CIS265 - C Programming Language, and Confidential 269 - Data Structures in C# and C++ .
• I demonstrate effective leadership and feedback, facilitating capstone student projects of a class size of over 50 students in data science knowledge area.

Confidential

Sr. Data Scientist

Responsibilities:

• Identifying, collecting and aggregating data of high quality that address well-formed business questions. Aggregated data combines transaction database (OLTP), Hadoop data from big data portal (HDFS big data), clickstream (big data), sensor and log data (big data), process data from ServiceNow and machine generated server property data.
• Providing end-to-end visibility operational monitor alerts. Operational metrics (KPIs) are defined based on user-specified error rate values and statistical and adaptive thresholding methods. Alerts are dispatched thereby enabling critical system caretaker to initiate corrective action proactively.
• Facilitating proactive production stance by developing end-to-end health pattern tool for Dialer/IVR availability. The tool visually reveals hidden patterns such as big spikes, big drops, system class action wiggles, displaying activity trends across the entire platform without having to dig through several logs on several servers and routers.
• Improving effectiveness of internal process. An analytic repeatability framework is created and deployed in immediate leadership organization to facilitate process repeatability of analytics processes.
• Improving availability of critical infrastructure. An outage predictor tool is built for to predict probable outage and possible causes, utilizing machine learning methods.
• Informing new product development. A world map performance dashboard for an end-to-end visibility of inventory management is built. Senior leadership shows this dashboard on wider screens in receptions. The predictive component predicts demands based on ordering strategies, thereby facilitating the implementation of risk pooling strategies. Managers are able to intuitively and visually correlate performance by product categories by geographical locations and demographics in one piece, opportunities for introduction of new product development are quickly spotted and exploited.
• Prioritizing and evaluating products. Using baselining and A/B testing, baseline patterns are captured across Dialer/IVR platform and are compared regularly with current pattern to detect anomaly, misconfiguration, compromise, under-utilization, and over-utilization. Other variant of this deliverable that I have delivered include: testing whether a website feature-set choice drives more revenue than the other, validating whether to build or not to build product using simple math, and A/B Testing whether a recommended action results in a significant change effect in customer conversion and behavior that affects revenue generation.

Confidential

Principal Data Scientist

Responsibilities:

• Define data/position/image/video analytic problems. Identify and validate, and document business needs and requirements; collect, research, analyze system and operation processes/data to understand and formulate problems, /opportunities/insights
• Identify and evaluate solution concepts, formulate core problems into tractable mathematical problems. Create concept of operations. Research and evaluate image/video/data analysis algorithm and packages.
• Design data/position/image/video analytics algorithms and evaluate performance on large or big data - operations and machine data assets on local and cloud platforms. Review and analyze solution design alternatives, evaluate tradeoffs and risks
• Design models to explore resource and process scaling issues and fulfilment scenario simulations for exploration and production supply chain so that business units can contemplate trends and impacts
• Develop solution architecture and integrate algorithms into the overall solution platforms
• Create and review documentation for application release; provide technical training to end users and technical support staff as required
• Research, validate, troubleshoot, and resolve system/software issues and provide technical support regarding system/software capabilities, issues, and technical questions
• Identify, define, gather, and analyze solution operational performance metrics and determine necessary corrective actions and/or improvements
• Research and evaluate latest developments in pertinent machine learning and pattern recognition fields; and assesses suitability of application of relevant techniques in current applications
• Source data points/image/video scenes; gather, validate, organize, mine and maintain competitor information to provide key competitor insights

Confidential

Customer Service Volunteer

Responsibilities:

• Be the front interface of the medical center to patients, friends and families.
• Escort and check in patients in the operating room.
• Ensure safety of the patients, friends and families in the operating room.
• Alleviate anxiety and make patients comfortable.

Confidential, Lafayette, LA

Computational Geoscientist - Data science

Responsibilities:

• Worked sensors and machine big data with R, MATLAB, distributed computing MPI, Modeled using HMM, MCMC, Kalman and particle filters. Worked ESRI ArcGIS, SDE, ArcObjects and Python, Google Map API and JavaScript, Converting Matlab m-files to C# using Matlab compiler and Matlab builder for C#/.Net framework. RC build/GIT, Hadoop and Apache Mahout analytics and MPI. Gained Multibeam Sonar UNB-OMG / UNH-CCOM, Water Survival and Personal Survival Techniques training - pool & classroom (SWET/HUET API RPT-7), Hugin and Bluefin AUVs (SSS, MBES, SBP, Photomosaic for pipelines) and Reson 7 sonar swath system, Fugro Starfix, Lidar Flipsharp, Caris offshore survey solution and SMT Kingdom suite.

Confidential, Sierra Vista, AZ

Web Software Developer

Responsibilities:

• I developed smart website applications for training, mapping and intelligence, working the complete software lifecycle including software design, development, testing, deployment and maintenance.
• C#/ASP.NET/.NET framework and SQL Server/.NET Data Provider; Java & Clorine & Flash/Flex Adobe Cairngorm framework; Swing, Spring/JSF, Servlet/JSP and Glassfish Oracle RDBMS/JDBC, JPA/Hibernate; Android Java package, Python and stored procedures.

Confidential

Research Associate - Data Science

Responsibilities:

• I developed web, mobile and geospatial applications displaying information to devices and locations including data analytic information groups, mapping and intelligent websites, proof of concept prototypes for mobile GIS application for first responders

Confidential, Minneapolis, MN

System Consultant - Data Science

Responsibilities:

• I worked data analytic, database and datawarehousing implementation projects.
• I authored problem determination and resolutions playbooks to minimize support costs and resolved over 36,100 service problem tickets concerning web hosting in Confidential and Confidential.
• I delivered services in a global setting.
• I worked the two structures in rotation and I learned to work and talk with clarity with people from different cultures.
• Worked WebSphere integration platform (WAS) and Java J2EE technology: Core Java, Struts/JSP; Administered ORACLE 10g, DB2 UDB on Mainframes, worked EMC arrays, SQL Server BI SSIS SSAS SSRS, Window server & Active Directory, HP-UX, Sun Solaris, AIX, DB2 UDB, LINUX, HACMP Veritas VCS/GCM/CCA disaster recovery and fault tolerance.
• Gained data analysis skills using SPSS, R, MATLAB, Open Source framework: LAMP