Data Analyst Resume

TECHNICAL SKILLS

Machine Learning: classification, regression, clustering, feature engineering, natural language processing

Statistical Methods: time series, regression models, hypothesis testing and confidence intervals, principal component analysis and dimensionality reduction, cost - effective analysis

Software and Programming Languages: Python (scikit-learn, numpy, scipy, pandas), R, SQL, STATA, ETL, Tableau, Power BI, MapReduce

PROFESSIONAL EXPERIENCE

Data Analyst

Confidential

Responsibilities:

Guide business decisions on potential procurement opportunities with the United States Agency for International Development and other partner institutions.
Advise Confidential officials on the dynamics of migration in sub-Saharan Africa, analyzing data on population growth, conflict incidences, and climate change.
Conduct explanatory data analysis on development indicators, creating strategic plans in coordination with technical staff.
Facilitate data migration, data integration, and other data management tasks. Manage proposal development for a 100-million-dollar cooperative agreement with the Centers for Disease Control and Prevention.

Data Science Fellowship

Confidential, Washington D.C

Responsibilities:

Performed weekly programming tasks using Python and developed machine learning models to tackle real worlds problems for different industries, including customer segmentation using clustering, developing SQL queries, and predictive modeling.
Conducted multiple presentations on key findings from capstone projects and other general key learning topics in statistics.

Public Health Specialist

Confidential

Responsibilities:

Wrote a successful research proposal on hypertension and diabetes in compliance with Institutional Ethics Review Board.
Designed and deployed a cross-sectional quantitative study collecting data from over 500 participants in heavily burdened communities to aid in the development of a unified public health initiative. Used data mapping
Performed inferential statistics and analysis using R studio and STATA on collected baseline data for the purposes of informing decision-making.
Presented research findings to Ghanaian government officials, persuading stakeholders to pledge financial support of $5,000,000 towards non-communicable diseases related research.

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