• Consults on Research/Analytics, Data Science, Business and Artificial Intelligence, Machine and Deep Learning and Quantitative Finance projects for Private and Public firms mostly in Developing World.
• Development of news and financial market performance platform/application

• Leads the Business Intelligence Unit team of Research and Data Section at CPG Financial Services Cooperation. My main role is to use data (while applying all Data Science practice tools) to provide business intelligence to Executive Leadership and Business Unit Managers.
• Responsible for developing AI/Data Science/Machine Learning Infrastructure for the Corporation.
• Sits in Data Governance meetings that are responsible for data variety organization, flow and efficient use (in the new Enterprise Data Warehouse)
• Scrum Team Owner of transactional enterprise software development projects in an agile software development framework

Ongoing and Completed Projects.

• Clients Financial Vulnerability Risk Modeling
• Voice of client Sentiment Analysis and Topic Extraction (NLP)
• Data Science in-house business units modeling with structured and unstructured (Text heavy data)
• Transactional Software development Owner in an Agile Software Development framework
• Client/Consumer Demand Projection Models

• Led a team of Data Scientists, Managers and Developers (Software Engineers) to solve client Microsoft(MS) business problems with data through development of production ready POC (Proof of concepts) and application of all Data Science tools including Machine Learning, statistical and mathematical modeling skills.
• Data Acquisition and Assembly/ETL (Extraction, Transformation and Loading) from various sources including Databases, Warehouses, Web and Flatfiles. Tools: SQL, MS-Server, R-Server and Python
• Data Modeling-Machine Learning/Statistical/mathematical modeling and Analysis (Learning Analytics). Tools: Python, R, R-Server, MS-Server, MS Azure, MS ML studio.
• Inference and forecasting (Predictive Analytics) and reporting the actionable insights from the data reporting actionable Insights through interactive business tools (i.e Power BI), Slides and Reports.

Completed POC/Prototypes.

• Classification of Microsoft X-BOX-Live Consumers based on Business Potential
• Apartment Cluster Filters using MS Bing Search API

• Consult on broad areas including data science, spatial econometrics, machine learning, information technology and systems and economic policy. Tools: R, SQL and Stata software.
• Solve clients’ problems from inception to completion applying,
• Data acquisition (extraction, assembly and cleaning) from Data Bases.
• Data preparation (Cleaning, Statistical explorations and transformation- classification/scaling/dimensionality reduction- Transforming Analytics)
• Data modelling and Analysis (Learning Analytics)
• Inference and forecasting (Predictive Analytics)
• Reporting the actionable insights from the data.

Completed Projects: World Bank DECRG Short Term Consultancies.

• Contributed to the understanding of evolution and optimal operation of online communities and social networks through application of data and graph mining with igraph, spded libraries of R software on structured and unstructured data from nanoHUB.org cyberinfrastructure platform.
• Explored data visually and statistically, classified/clustered and analyzed through machine learning algorithms (mathematical and statistical modelling) using R software libraries.
• Developed both supervised and unsupervised learning machine learning and statistical algorithms to establish patterns of formation, operation and sustenance of software developers’ community network using R Software.
• Developed efficiency evaluation application for developer communities through application of stochastic dominance, bootstrapping and exponential random graph statistical models on dynamic (time-series) data.
• Formulated statistical algorithms model to evaluate the impact of developer community network on growth of software developers with supervised Bayesian spatial logistic, fixed effect and interaction statistical and economic models with spdep library of R software.
• Established a social structure and communication channel embedded diffusion model to forecast software usage (revenues) while applying supervised and unsupervised learning models including, bass predictive model, Bayesian spatial probit model and network science.

Completed Projects:.

• Efficient Management of Information Flow Systems in a Two-Way Market Online Platform
• Establishment and Management of Growing Online Communities and Ecosystems
• Prediction of Diffusion of Innovation/Products tool based on Advanced Collaborative filters in an Online Setting