Project Finance Associate Data Analyst/Scientist

EMMANUEL ASABA

Washington, DC 202-***-**** ********.*****@*****.*** LinkedIn

EDUCATION

Master of Science in Data Science, The George Washington University, Washington, DC GPA 3.67/4.0 May 2024 Relevant Coursework: Data Mining, Data Warehousing, Cloud Computing, Machine Learning, Natural Language Processing, Visualization of Complex Data, Ethics for Data Science. Bachelor of Arts in Economics, Calvin University, Grand Rapids, MI GPA 3.7/4.0 May 2019 Relevant Coursework: Econometrics/Research Methods, Money & Financial Markets, Business Cycles/Intermediate Macroeconomics, Probability & Statistics, Managerial Economics. TECHNICAL SKILLS

Technology Tools: Python, SQL, R, PowerBI, Microsoft Excel, Microsoft PowerPoint, Adobe, Git, AWS Cloud Services, Tableau, Microsoft Azure

Technical Certifications: Microsoft Certified: Azure Fundamentals, Lean Six Sigma Yellow Belt Certification EXPERIENCE

Management Systems International October 2024 –

Project Financial Associate Arlington, VA

• Executed detailed financial statement reconciliations for 20+ global projects with budgets exceeding $10 million, ensuring financial integrity, regulatory compliance, and data-driven insights to inform strategic decision-making.

• Designed and developed 4 PowerBI dashboards from the ground up, providing real-time financial performance and risk monitoring, enabling senior leadership to track key metrics and optimize resource allocation.

• Partnered cross-functionally to establish SQL database tables from scratch, building scalable data architecture that streamlined data pipelines and automated reporting, enhancing data visualization and operational efficiency. Bloomberg LP May 2023 – August 2023

Analytics and Sales Intern San Francisco, CA

• Developed an advanced modeling and data extraction tool using Python to generate actionable insights and introduce a more efficient, scalable lead generation process for the Sales team. This initiative led to a 22% increase in the sales pipeline prospects within 6 weeks, significantly enhancing sales operations.

• Co-led a strategic sales initiative focused on customer education, enhancing client understanding of Bloomberg’s core products. Led 3 targeted training workshops on Fixed Income, Equities functionalities, and Bloomberg Query Language

(BQL), addressing customer challenges in data extraction and improving data analysis efficiency for 200+ customers.

• Achieved 1st place in the Intern Terminal Function Pitch competition by proposing an innovative AI-driven terminal functionality and led client training using this functionality. Interswitch Group April 2021 – August 2022

Marketing Data Analyst Lagos, Nigeria

• Consolidated data from a customer base of over 10 million records using SQL, developing an online Power BI dashboard to visualize core product KPIs, saving multiple hours each week previously spent on manual reporting.

• Increased quarter-on-quarter FY 22 transaction count by 6% by implementing an Association Rule (apriori) machine learning algorithm, which identified cross-selling opportunities across diverse transaction types and led to revenue growth.

• Developed a logistic regression analysis that informed strategic initiatives, resulting in an 8% reduction in customer churn and providing deeper insights into customer behavior, ultimately enhancing customer retention efforts. Apple, Inc. September 2019 – July 2020

Mapping Operations Data Analyst Austin, TX

• Led a data cleaning and visualization project utilizing geospatial tools to rectify erroneous data points, resulting in a 23% increase in customer satisfaction by directly addressing critical data integrity issues and improving overall product quality.

• Utilized pandas and NumPy for data cleaning and transformation, converting messy datasets into streamlined wide data formats, which reduced processing time by 50% and significantly optimized operational workflows.

• Partnered with the data science team to provide accurately curated data labels, enhancing product quality by facilitating swift retrieval and refinement of faulty data in collaboration with the engineering team, using Git for version control. ADDITIONAL INFORMATION

Language Skills: Spanish (Professional Working Proficiency), French (Limited Working Proficiency) Activities: Ambassador, GW International Student Community; Member, GW Data Science Association; Secretary, Calvin University, Economics Club

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