Results-driven Data Analyst and aspiring Data Scientist with 3+ years of combined experience across analytics, consulting, and applied data science, transforming complex datasets into actionable insights, automated reporting solutions, and predictive models. Strong hands-on expertise in Python, SQL, Power BI, Tableau, TensorFlow, and Scikit-learn, with experience spanning exploratory data analysis, KPI design, forecasting, cohort and funnel analysis, A/B testing, and statistical modeling.

Proven track record of building scalable ETL pipelines, validating data quality, and developing intuitive dashboards that improve transparency, reduce reporting time, and support data-informed decision-making. Experienced in applying machine learning techniques to real-world business problems, including retention forecasting and behavior analysis, and translating technical results into clear, business-relevant insights.

Comfortable working across the full analytics lifecycle, from raw data ingestion to insight delivery, in fast-paced and evolving environments. Known for being analytical, curious, and self-driven, with a strong passion for data, analytics, and technology, and a consistent focus on using data to improve products, processes, and business outcomes.