Data Analyst Entry Level

Samuel Adolinama

Rancho Cucamonga, CA

**********@*******.*** 562-***-****

Professional Summary

Detail-oriented Data Analyst with a Master’s in Applied Statistics and hands-on experience in data cleaning, analysis, and visualization. Proficient in tools such as SAS, SQL, Python, Excel, Tableau, and Power BI. Skilled in building interactive dashboards, automating workflows, and applying statistical methods to derive actionable insights. Demonstrated ability to communicate findings clearly to both technical and non-technical stakeholders. EAD holder authorized to work in the U.S. Seeking a hybrid analyst role where I can contribute to impactful, data-driven decision-making. Technical Skills

Data Tools: SAS,Excel (VLOOKUP, PivotTables, Advanced Functions), SQL, Python (Pandas, NumPy), Tableau, Power BI

Statistical Modeling: Regression, ANOVA, Hypothesis Testing, Predictive Modeling, data mining, Logistic Regression, Time Series Analysis, Generalized Linear Model, Time Series Analysis, Survival Analysis, Experimental Design

Data Handling: Data Cleaning, Data Validation, ETL, Automation

Visualization: Interactive Dashboards, KPIs, Compelling Storytelling with Data Professional Experience

Data Analyst

City of Hope Medical Center – Los Angeles, CA

2015 – 2016

Collected, cleaned, and organized large clinical and operational datasets to prepare for analysis.

Designed SQL queries to retrieve and structure data for dashboards and ad hoc reports.

Created Tableau and Excel dashboards to visualize KPIs and support executive decisions.

Used Python to automate reporting processes, reducing manual work by 50%.

Ensured data consistency through validation checks and collaborated with stakeholders to meet reporting needs.

Graduate Assistant – Department of Mathematics & Statistics California State University, Long Beach

2013 – 2014

Analyzed academic datasets to detect performance trends and inform program decisions.

Used Excel and SAS to clean and model data; reduced reporting time by 30%.

Presented findings to academic stakeholders to support data-backed improvements. Research Projects

Longitudinal Data Analysis – CD4+ Cell Count

CSU Long BeachI February 2013 – May 2013

Applied smoothing spline models and statistical analysis to identify patient health trends over time with SAS application.

Predictive Modeling – Wage Determinants

CSU Long Beach February 2012 – May 2012

Compared multiple modeling techniques with SAS Enterprise Miner to determine key wage predictors and communicated results via structured reports. Insurance Data Analytics

Kwame Nkrumah Univ. of Science & Technology Feb 2010 – May 2010

Cleaned and analyzed actuarial data using Excel to identify savings opportunities for State Insurance Company.

Delivered insights and visual reports to stakeholders for implementation. Academic Performance Analysis

KNUST – Undergraduate Research Sept 2009 – Dec 2009

Collected survey data and used SPSS to explore academic performance factors. Presented results to faculty and peers.

Education

M.S. in Applied Statistics

California State University, Long Beach 2014

B.S. in Actuarial Science

Kwame Nkrumah University of Science & Technology 2010 Certifications

Google Advanced Data Analytics Certificate (In Progress) Additional Information

Authorized to work in the U.S. (EAD Card)

Fluent in English

Open to Hybrid or Remote roles

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