Statistician

Hard Skills

- Statistical Modeling & Analysis (Regression, Time Series, Bayesian Methods)

- Machine Learning & Predictive Analytics (Random Forests, Gradient Boosting, NLP)

- Data Mining & Large-Scale Data Processing (SQL, Hadoop, Spark)

- Programming Languages: R, Python, SAS, SQL

- Data Visualization (Tableau, Power BI, D3.js)

- Experimental Design & A/B Testing

- Data Automation & ETL Pipeline Development

- Cloud Platforms (AWS, Azure Data Lake)

Soft Skills

- Critical Thinking & Problem Solving

- Communication & Data Storytelling

- Cross-Team Collaboration

- Agile Methodology

- Ethical Data Handling & Privacy Compliance

*Senior Data & Statistics Analyst | TechHealth Solutions | New York, NY*

_June 2022 – Present_

- Developed predictive models leveraging machine learning techniques to forecast patient readmission rates, resulting in a 15% reduction in hospital readmissions.

- Led a team of data analysts to build dashboards providing real-time insights into clinical trial metrics, increasing reporting efficiency by 30%.

- Collaborated with data engineers to optimize data pipelines from EMR systems, improving data quality and processing speed by 20%.

- Spearheaded a project on NLP-based analysis of patient feedback, uncovering key drivers of patient satisfaction.

Data Scientist | FinInsights Analytics | Chicago, IL

_August 2018 – May 2022_

- Designed and validated credit scoring models that increased lending approval accuracy by 12%, while maintaining compliance with regulatory standards.

- Utilized time-series analysis to identify market trend patterns, informing strategic investment recommendations.

- Automated data workflows using Python and Spark, reducing report generation time from hours to minutes.

- Conducted A/B tests on marketing campaigns, boosting customer engagement rates by 18%.

*Junior Statistician | E-Commerce Data Corp | Boston, MA*

_July 2015 – July 2018_

- Analyzed website traffic and sales data, providing insights that helped optimize user funnel and improve conversion rates by 10%.

- Developed cohort analysis to evaluate customer lifetime value and retention, supporting targeted marketing initiatives.

- Assisted in deploying recommendation algorithms that increased cross-sell and upsell performance.

**Master of Science in Statistics**

University of Chicago, Chicago, IL | 2013 – 2015

**Bachelor of Science in Mathematics**

Boston University, Boston, MA | 2009 – 2013

- Certified Data Scientist (CDS) – Data Science Council of America (DASCA), 2023

- AWS Certified Data Analytics – Specialty, 2024

- Certified Analytics Professional (CAP), 2022

- **Predictive Model for Healthcare Resource Allocation:** Developed a machine learning pipeline to predict ER wait times, aiding hospital administrators in staffing decisions.

- **Customer Churn Prediction Tool:** Led a project to create a real-time churn prediction system for an online retailer, resulting in tailored retention strategies that reduced churn by 9%.

- **Sentiment Analysis of Social Media Feeds:** Created an NLP model to analyze consumer sentiment regarding financial products, influencing marketing messaging.

- English (Native)

- Spanish (Professional Working Proficiency)

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