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sheena fronk

• Feb 12

https://www.typeform.com/blog/the-adaptive-customer-journeys-playbook Static customer journeys are dead—adaptive customer journeys are taking their place. The best teams are embracing them, building systems that respond in real time, creating journeys that move as fast as customers do.

Ankita Banubakode

• 11h

🛍️ Mall Customer Segmentation Project

Built an end-to-end machine learning solution to segment customers using K-Means clustering based on demographics and spending behaviour.

🔍 Performed data cleaning, pre-processing, and exploratory data analysis (EDA) 📊 Applied K-Means clustering with the Elbow Method to identify optimal customer segments 🧩 Engineered features to improve clustering performance 📈 Developed an interactive dashboard using Plotly Dash for real-time segment exploration

💡 Identified high-value and low-value customer groups, enabling targeted marketing and improved customer engagement strategies

🛠️ Tools Used: Python, Pandas, Scikit-learn, Plotly Dash

🚀 Delivered a business-focused solution for customer segmentation and data-driven decision-making

Jupyter Python Data Analysis Dash Plotly

Gabriel Inbuon

• 12h

Advanced Tracking & Distribution Platform I built a high-performance tracking and traffic distribution platform designed to manage complex routing, optimization, and reporting at scale. The system includes an intelligent weight distribution engine and advanced rule processing based on country, device, and language, allowing traffic to be routed with precision according to business goals and campaign conditions.

Beyond routing, the platform features a full-scale traffic tracking system, postback handling, and a traffic source payout controller, making it highly effective for performance-driven environments where attribution, cost control, and optimization are critical. It also includes complex analytical reporting that provides deep visibility into traffic behavior, distribution performance, conversion flows, and source-level results.

Built using PHP, Laravel, Vue 3, PostgreSQL, Redis, and MongoDB, the system was engineered for speed, scalability, and reliability. It reflects my ability to design and develop robust data-heavy platforms that combine smart backend logic, real-time processing, and actionable analytics into one powerful solution.

Backend Development Software Architecture Full Stack Development Laravel PostgreSQL Vue.js

Sayedani Shaikh

• 2d

Title: Lead Management Dashboard — Data Visualization.

Description: Designed a lead management dashboard to visualize and track key sales metrics including lead status, conversion rates, and session sources. Created a sample dataset and built the dashboard to demonstrate how businesses can monitor their pipeline and make data-driven decisions at a glance.

Tools used:Canva (design), Power BI / Tableau (data visualization experience).