- End-to-end analytics on real-scale data: completed the full cycle from raw data to business recommendations. SQL collection (BigQuery, multi-CTE + UNION ALL), cleaning and validation, analysis, visualization.
- Critical thinking about data: based on three independent signals, found grounds to conclude the dataset was educational rather than real; separated revenue from profit where the two are often conflated; insisted on accounting for sample size when assessing statistical significance.
- Statistics and automation: instead of online calculators, wrote a scalable statistical-significance script (two-proportion z-test, statsmodels) that works for any number of metrics and breakdowns.
- Visualization for decisions: interactive dashboards in Tableau and Looker Studio with filters, trends,
and key takeaways in the headers.

- Managed a client pipeline generating six-figure monthly revenue, handling 200+ customer inquiries
per day.
- Consistently met monthly sales targets, converting inbound leads through structured follow-ups at
every stage of the funnel.
- Issued invoices and processed payments independently, keeping financial records accurate under
high daily transaction volume.
- Segmented clients by type (internal Laba training) to personalize outreach and improve conversion.

- Handled 2,500+ inbound calls per month, delivering sales, consulting, and post-purchase support across the customer journey.
- Consistently met individual KPIs while passing regular quality assessments and ongoing product training.
- Identified customer needs through structured questioning, tailoring recommendations to close sales
and resolve issues.
- Zero recorded complaints over 7 months across 2,500+ calls/month.