yazi User

I’m a Data Analyst with hands-on experience designing and analyzing A/B tests, building statistical models, and turning results into data-driven insights. I focus on experimentation design, hypothesis testing, and optimization to improve product performance and data processes in fast-paced environments.

I’ve built reproducible experimentation workflows using Python and SQL, running t-tests and chi-square tests, calculating p-values and confidence intervals, and estimating minimum detectable effect and sample size. In my A/B testing project, I clearly mapped control/treatment definitions and randomization, then generated experiment summaries and decision recommendations for non-technical stakeholders.

I also develop interactive analytics dashboards to make insights easier to act on. In my Crisis Economy Tracker project, I ingested live financial time-series data via APIs, applied sentiment analysis (NLTK VADER), and used Plotly + Streamlit to help users spot anomalies and shifts in market sentiment—while documenting the pipeline in stakeholder-friendly terms.

To support product and marketing decisions, I designed SQL models for funnel and cohort metrics, including retention, LTV, and cohort-based KPIs using JOINs and window functions. Across projects, I write concise, insight-focused recommendations—so teams can quickly answer “which cohorts to target” and “which channels underperform,” backed by clean data and clear visualizations.