Data Scientist & Statistical Analyst | Python, SQL & ML

As a Data Scientist and Strategic Data Advisor with a rigorous academic background in Statistics, I specialize in bridging the gap between complex mathematical models and C-level executive decision-making. Over the past 2+ years, I have provided high-level quantitative advisory for top-tier organizational leaders, translating raw data and statistical findings into actionable, risk-mitigated strategies.

Unlike standard analysts, my deep foundation in pure statistics allows me to rigorously validate predictive models, test hypotheses, and ensure that large-scale organizational strategies are backed by solid math rather than guesswork.

** CORE SKILLS & EXPERTISE ** • Executive Advisory & Data Strategy • Advanced Statistical Analysis & Quantitative Research • Machine Learning (ML) & Predictive Modeling • Data Engineering (Data Extraction, Data Mining, ETL Pipelines) • Database Design & Management • Data Wrangling, Data Cleansing, & Data Visualization • A/B Testing, Statistical Inference, & Risk Assessment

** TECHNOLOGIES & TOOLS ** • Programming & Analysis: Python, R • Database Management: SQL, Relational Databases • Advanced data storytelling and visualization for leadership teams.

** INDUSTRY EXPERIENCE & NOTABLE ACHIEVEMENTS ** • Public Policy & Organizational Leadership: Successfully advised C-suite executives and national-level directors on data-driven strategies, optimizing resource allocation and strategic planning. • Designed and deployed structured databases from scratch to centralize complex organizational information. • Developed predictive models that translated highly technical data points into clear, executive-friendly insights for top-tier decision-makers.