• Develop, implement, and test service outage detecting algorithms; used S.O.L.I.D. principles to enforce network reliability• Automate daily outage report generation using Python via Decision Trees and NLP parameters to ensure ease of use• Data scrape Twitter, Reddit, among other open-source platforms to collect information regarding communication issues• Coordinate team meetings regarding the development of hard metrics used for outage detection

• Implemented a business website to streamline information flow, generating an average of 14,000+ hits per month• Calculated and tracked profit margins at the end of each workday and month to analyze business growth• Scheduled and structured 5+ employees’ operations to provide more efficient services to the customer base• Authorized and processed all credit/debit batch transactions; distributed checks and managed $1000+ expenses for labor and supplies at each instance

• Completed and presented group project in case competition involving 7 well-trained teams. Achieved 1st place 'Client's Choice' award as selected by a Director of IB. Received positive feedback upon program completion. • Successfully completed intensive learning program focused on the technical skills development of: advanced Excel business analytics, intuitive Tableau dashboard reporting, client project work, MySQL extractions, and executive-friendly presentation creation• Self-sufficiently conducted complex analyses on a variety of mock client scenarios by navigating disjointed datasets to efficiently derive analysis results and develop strategic recommendations that resolved client pain points• Conducted analyses on a variety of simulated client scenarios utilizing advanced data managements methods to resolve client challenges related to: budget prioritization, customer trends, supply / demand, and product portfolio performance

• Assisted a professor working under the Financial Sector Deepening Africa (FSDA) to explore the role of the financial sector in spurring jobs and economic growth in Sub-Saharan Africa• Analyzed 50+ research papers and evaluated 3+ economic models to further understand how finance affects different factors of the economy, the poor, and micro, small, and medium-sized enterprises• Replicated 6+ datasets from published works to study proposed models using STATA programming• Parsed, merged, and examined 4+ datasets from the World Bank, managing 200,000+ observations from each dataset