PERSONAL PROFILE

Qualifications Summary

 

• Well-versed in extracting and delivering actionable insights from complex datasets to drive well-informed decision-making. 

• Strong ability to identify trends, patterns, and correlations, and effectively communicate findings to senior management.

• Instrumental in statistical modeling and algorithm development, enabling creation of predictive models for enhanced data analysis. 

• Proficient in Excel, Word, PowerPoint, Google Sheets, BiqQuery, Jupyter Notebooks, and R Studio

•  Committed to ensuring data accuracy, consistency, and completeness through meticulous quality checks and robust cleaning processes.

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Areas of Expertise

• Data Analysis & Interpretation
• Statistical Analysis

• Qualitative & Quantitative Analysis 

• Research Methodologies & Techniques

• Critical Thinking & Problem-Solving
• Report Writing & Presentation
• Team Coordination
• Data Collection & Organization • Error Identification & Mitigation

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Technical Proficiencies

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Languages: Python | R | SQL
Libraries/Framework: Pandas | NumPy | Tensorflow | Scikit-learn
Visualization: Tableau | matplotlib
Supervised Learning: Linear and Logistic Regressions | Decision Trees and Random | Forests | Boosting Classifiers | Model Tuning

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Education & Certifications

Google Data Analytics Certification | Coursera

Applied Data Science | MIT Professional Education

Viticulture & Enology | Washington State University
 

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