Saad Sagheer
FAST
· 2023
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i19 - 0496
Email
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GitHub
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Academic
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Year
2023
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Career
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Skills
React, D3, Python, flask, Google Colab, Unity Dashboard API
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
KPI Dashboard, A powerful web-based system that helps organizations track and analyse the performance of their mobile game applications on the Google Play Store and in the end provide recommendations/solutions on how to improve the performance of these games. With our application, company can get real-time insights into the key performance indicators (KPIs) that matter most, including downloads, user ratings, and revenue. The System provides a centralized platform for tracking and analysing KPIs (Stability, Monetization and Engagement) related to mobile games. Developers can view performance of their game’s KPIs in the form of Graphs. Features include: - Provides a way of both loading data from CSV files and Unity Dashboard. - Provides an interactive visualizations of the KPIs and their performance metrics in the form of Graphs. - Generates reports on daily basis for viewing the performance of each KPI and its deviation from target. - Provides real-time recommendations/solutions on how to improve the KPI performance in a specific timespan for a company. - Generates alerts/notifications of certain KPI is lacking behind its target that is already set by developers. KPI DASHBOARD A decision support system of Android applications, published on Google Play, for real time analysis and recommendation ARCHITECTURE End User UI Layer Business Logic Data Layer Team Lead Add Project Enter Details Project Management Visualizer Project Data Manage Select KPIs Compare Results Analyzer Recommender Server Communication View Devices Pre Project Activity (ML Pipeline) Data Ingestion Pre-Processing Feature Selection Model training Testing Deployment TIMELINE - Collection of Data - Documentation of Project - UserInterface of Project Management Module (PMM) Sep - Oct - Backend of PMM - Decision Model Training - Visualizer Module User Interface Nov - Dec - Visualizer Module Backend - Analyzer Module Implementation - Recommender Module Implementation - Google Play API Integration - Integration of Whole Software - Black Box Testing Feb - Mar Apr - May Group Members Saad Sagheer 191-0496 Abdul Manan 191-0500 Kashif Kamran 191-0541 Supervised By Dr. Behjat Zuhaira External Colab. The Knights Tools & Technologies Technology Used: React, D3, Python, flask, Google Colab, Unity Dashboard API Supervisor Name: Dr. Behjat Zuhaira Group Members: Saad Sagheer (i19 - 0496) Abdul Manan (i19 - 0500) Kashif Kamran (i19 - 0541)
AI enrichment
Saad Sagheer is a student who served as Team Lead for an academic project developing a KPI Dashboard for mobile game performance analysis. The system utilized React, Python, and Flask to provide real-time insights, visualizations, and AI-driven recommendations based on Google Play Store data.
Skills (AI)
["React", "Python", "Flask", "D3.js", "Google Colab", "Unity Dashboard API", "Data Visualization", "Machine Learning Pipeline", "Team Leadership", "API Integration"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 300
Created: 1778169248