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COO · Lìla Inspira (full-time, dec/23–nov/24)
- Led 3 departments (marketing, products, and sales) with up to 21 direct reports, executing the expert's strategy and identifying growth opportunities across all areas.
- Reduced churn from 12.92% to 6.83% in one month, reaching the lowest rate in company history, through strategic restructuring of the products team and improvements in customer experience management.
- Launched the company's first scalable mentorship program, which became a record-breaking sales product, by structuring the offer, defining the value proposition, and organizing the delivery model.
- Led the sales department to a new high-ticket revenue record through strategic direction and sales process optimization, increasing both total revenue and average ticket.
- Planned and executed the expert's first in-person event for 40 participants, managing logistics, experience design, and full on-site operations.
- Achieved 100% positive leadership ratings in the organizational climate survey through consistent implementation of culture rituals and leadership practices throughout the engagement.
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I conducted web research to collect publicly available company information and organized it into a structured spreadsheet.
The data includes company names, websites, email contacts, and locations.
This project demonstrates my ability to gather accurate information, verify sources, and present data in a clean and organized format.
Structuring web research into a clean spreadsheet with verified sources is more work than it looks — the accuracy check step is what separates useful data from noisy data. Company name, website, email and location is a solid base structure too. Do you usually work with a specific industry or take on any niche?
📊 Sales Performance Analytics Dashboard (Power BI)
This Power BI dashboard was developed as part of a technical case study to demonstrate a business‑first approach to performance analytics.
The report is designed to support both executive‑level decision‑making and operational sales management by focusing on:
Revenue performance tracking
Key performance drivers (Orders & Average Order Value)
Team‑level performance monitoring
Individual agent insights
Data quality validation and exception handling
🔎 Key Functional Areas
Executive Overview
Provides a high‑level summary of Net Revenue and its primary drivers, supported by a monthly trend and rolling average to identify emerging performance patterns and reduce short‑term volatility.
Performance Diagnostics (Region × Time)
Enables root‑cause analysis by highlighting when and where performance changes occurred across regions and time periods.
Sales Team Monitoring
Supports day‑to‑day management through ranked team performance metrics, enabling prioritization of coaching or follow‑up actions.
Agent‑Level Analysis
Offers a focused performance view per individual contributor, including category mix and territory‑level revenue drivers.
Data Quality Monitoring
Separates adjustments (e.g. returns, discounts) from gross performance to prevent misleading KPI interpretation.
💼 Business Value
Designed to:
Monitor operational performance
Identify revenue drivers behind month‑over‑month changes
Detect under‑ or over‑performing teams
Support targeted coaching
Enable fast, data‑driven decision‑making
🛠 Tools & Concepts Used
Power BI
Data Modeling (Fact / Dimension)
KPI Design
MoM Analysis
Driver‑Based Revenue Monitoring
AOV Tracking
Data Quality Checks
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