SUMMARY:

• A Data Science, Machine Learning, Economics/Econometrics, Mathematical and Statistical Modeler of clients’ business problems leading to smart strategic decisions. I have,
• Extensive experience in all aspects of Data scientist which involves (Data and Graph mining, Machine Learning, Data Analytics and Statistical and Mathematical Modelling).
• Deep expertise and knowledge in mathematical, statistical, econometrics modeling and development of machine learning algorithms
• Statistical and Machine Learning techniques: Clustering, Classification and Regression Techniques (Linear, Logistic, hierarchical, spatial, Time Series)
• Experienced in a variety of computing languages (R, Python, Matlab, SQL/Hive, Matlab), platforms (Windows, Linux), distributed computing environments (Hadoop/MapReduce), and machine learning/statistical libraries in R.

TECHNICAL SKILLS:

Programming Languages: R, GAMS, Matlab, Python, Pascal, C++ and Octave

Software and Other Applications: Stata, CGE, IMPLAN, SQL, MySQL, Big Data (Hadoop Ecosystem - HFDS, MapReduce, Hive), Linux, Machine Learning and ArcGIS 9.3

Spoken Languages: Swahili (Fluent), German (Conversational and Reading)

PROFESSIONAL EXPERIENCE:

Confidential, Redmond, WA

Senior Technical Leader-Data Scientist

Responsibilities:

• Leads a team of Data Scientists, Managers and Developers (Software Engineers) to solve clients’ business problems with data through development of Proof of concepts (proofs) 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.
• Data Modeling-Machine Learning/Statistical/mathematical modeling and Analysis (Learning Analytics)
• 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.

Confidential, West Lafayette, IN

Data Science Independent Consultant

Responsibilities:

• Consult on broad areas including data science, spatial econometrics, machine learning, information technology and systems and economic policy with R 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.

Confidential, West Lafayette, IN

Lead Analyst-Data Scientist

Responsibilities:

• 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 algorithms to establish patterns of formation, operation and sustenance of software developers’ community network using R Software.
• Calculated efficiency of developer communities through application of stochastic dominance, bootstrapping and exponential random graph statistical models on dynamic (time-series) data.
• Formulated algorithms 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 diffusion of software prediction algorithms amongst users (software consumers) using supervised and unsupervised learning models including, bass predictive model, Bayesian spatial probit model and network science.

Confidential, West Lafayette, IN

Lead Analyst-Research Scientist

Responsibilities:

• Computed the economic impact of development projects after devising research questions based on theory, cleaning and classifying data and conducting supervised learning input-output analysis using IMPLAN and CGE softwares.
• Identified unstructured individual and aggregate firms optimal level of operation based on unstructured data of production.
• Calculated technical efficiency of individual firms using parametric and nonparametric, Stochastic Frontier Analysis and Data Envelopment technical efficiency evaluation models.
• Prepared technical reports, presentations and scientific papers.

Confidential, New York, NY

Analyst-Research Assistant

Responsibilities:

• Quantified biannual impacts of 8 Millennium Villages in Africa with statistical modelling after cleaning and analyzing transport and communication data.
• Wrote weekly policy briefs based on the findings, made presentations and attended weekly research advisory meetings.

Confidential

Consultant

Responsibilities:

• Built national energy demand status data through face-to-face surveys using a structured questionnaire.

Confidential

Consultant

Responsibilities:

• Estimated the energy demand status and environmental benefits associated with small hydro-power after designing experimental research instrument, collecting, entering, cleaning and statistically analyzing data.
• Prepared technical policy report that advised the project managers on the most cost effective method of selling power and surplus and carbon credits based on the analysis with Stata.Designed experimental research and supervised data collection and entry activities.
• Identified periodical impacts of research project based on statistical data analysis.
• Published monthly policy briefs, presentations and periodic technical reports that were used for the center’s strategic planning.