Senior Data Analyst

I have 8 years of experience as a Researcher/Analyst, specializing in building quantitative economic and financial models, implementing economic and statistical analyses, and making predictions using various statistical software such as SPSS, Eviews, R, SAS, and Matlab. Over the past 3 years, I have focused on SAS Data Processing and Data Management, developing a strong proficiency in advanced econometrics and statistical tools. My background includes extensive knowledge of SQL, SAS, R, Excel, Matlab, and STATA, complemented by certifications as an Office Proficient User and Office Expert.

I possess a solid foundation in predictive modeling using SAS modules for various statistical analyses, including Linear, Nonlinear, Logistic, GLM, Mixed, and Time Series models. My experience includes generating customized reports and analyzing data using PROC SQL, PROC DATASETS, and other SAS procedures. I have a proven track record in data cleansing, archival, migration, and ad-hoc reporting, showcasing my ability to handle complex data environments effectively.

In my previous roles, I have successfully carried out marketing campaigns and evaluated customer information, demonstrating my capability in applying statistical methods to real-world business scenarios. I am a fast learner with strong analytical and problem-solving skills, and I thrive in both independent and team-oriented settings. My communication skills, both oral and written, are excellent, allowing me to convey complex information clearly.

My professional experience includes significant roles at Capital One and Northwindsor, where I have led projects focused on data integrity, customer segmentation, and risk management. I have utilized my expertise in SAS and R programming to conduct in-depth analyses and provide actionable insights to stakeholders.

I am passionate about leveraging my skills in statistical analysis and predictive modeling to drive business success and contribute to innovative projects in the field of data analytics.