Tobechukwu Joshua Obodo

Data Role

• Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings.
• Consulted regularly with internal customers on application development project status, new project proposals and software-related technical issues.
• Researched, designed and implemented scalable applications for data extraction, analysis, retrieval and indexing.
• Built SQL and NoSQL databases and table structures following standard architecture methodology for web applications.
• Work directly with clients to provide ad-hoc analyses and reporting including post-campaign and weekly/monthly reports; Retrieve data through SQL database and Google Analytics
• Utilized R and Power BI to create visualizations to identify trends in data; Assemble presentations and dashboards to present findings to clients
• Leverage unsupervised and supervised machine learning models for consumer profiling, and customer loyalty using clustering, logistic regression, random forests, etc.
• Tools: R, Python, SQL, MS Excel, PostgreSQL, Python, Power BI

Performed theoretical calculations in the following areas:

• Created SQL database to store data related to different NEGF-DFT simulations; thus, improving data management process by 50%.
• Performed detailed analysis using statistics and physics principles to explain spin transport via exotic defects in graphene for battery applications.
• Performed quantum simulations on phase change materials
• Tools: SQL, Python, MS Excel, MS PowerPoint, Latex

• Organized data in SQL database for internal tracking which improved efficiency.
• Used Python and R to interact with SQL database
• Utilized Visualization techniques embedded in Python and R
• Performed in-depth statistical analysis
• Streamlined research processes to meet tight deadlines for multiple projects.
• Tools: SQL, Python, R, Bash Scripting, C++, MS SQL Server, MS PowerPoint

• Performed detailed statistical analysis using various concepts such as correlations, trend analysis, hypothesis tests, and regression models.
• Develop and maintained SQL database housing different elementary properties of graphene based defects. This warehousing process improved efficiency by about 30%.
• Performed detailed statistical analysis utilizing principles of physics to explain spin transport via exotic defects in graphene for battery applications.
• Maintained accurate records of research findings and provided statistical analysis of data results.
• Tools: SQL, Python, Bash Scripting, MS Excel, MS PowerPoint, Latex

• Data management techniques to improve efficiency
• Quantum simulations of organic molecules for properties such as switching in organic molecules, diode effects in organic molecules etc.
• Implemented perturbative constrainDFT in first principles code.
• Provided detailed understanding of effect of current induced forces on nanomaterials such as CNTs and graphenes
• Published six articles as result of collaboration

• Utilized MATLAB & Fortran to write first principles code to evaluate properties related to thermodynamic variables.
• Utilized SPSS to perform statistical analysis of students' records.
• Taught Method of theoretical Physics, and Solid State Physics 1 to students in their penultimate year in Department of Physics, UNN.
• Used variety of learning modalities and support materials to facilitate learning process and accentuate presentations, including visual, aural and social learning modalities.
• Reviewed teaching activities and identified and implemented strategies to improve student ‎learning outcomes.

• Found insights via utilizing visualization of large data set generated during simulations
• Performed Monte Carlo Simulations on 2-D materials
• Prepared proposals and applications to external bodies for funding and contractual purposes.
• Completed administrative and research duties per professor request.

• Performed over 200 statistical analyses such as correlations, trend analysis, hypothesis tests, ANOVA, regression, using bash, Python, R, and MS Excel on experimental data
• Developed predictive model to determine most suitable adsorbent energetic site; thus, forecasting catalytic adsorption sites on Pt surfaces.

• Queried SQL database for data related to photovoltaic performance
• Provided insights on performance of certain photovoltaic cells via quantitative data and qualitative data.
• Conducted research on ways to improve photovoltaic cells.
• Presented PowerPoint presentation to team lead scientist.