Muhammad Jalal Khan
@M-Jalal-KhanData & BI Consultant @ Code Prisma | Freelance Data Analyst @ Upwork | Google Certified | Python | SQL | Power BI | Tableau | ML | ETL
Language Breakdown
Lines of code distribution across 12 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
12
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
ahmedasad236
@ahmedasad236
Ebrahim Emad
@EbEmad
Mohammed Ramadan
@MohammedRamadanqawuq
Anwar Mousa
@Anwaribra
AhmedHusseinMohamed
@AhmedHusseinMohamed
Top Repositories
A comprehensive SQL project showcasing exploratory data analysis (EDA) and analytics. Includes queries for data exploration, trend analysis, segmentation, cumulative metrics, and reporting—designed for data analysts and BI professionals to derive actionable insights from relational databases.
Built a complete data warehouse using SQL Server, with well-structured ETL processes, clear dimensional models, and practical analytics to support real business decisions.
This repository contains a machine learning model that predicts soybean seed yield based on agronomic traits such as plant height, biological weight, and protein content. The model helps optimize farming practices and improve crop productivity using data-driven insights.
This project aims to predict the likelihood of diabetes in patients by analyzing various health metrics and demographic information. By building predictive models, this analysis helps in identifying high-risk patients and can aid healthcare providers in early intervention and management.
This project aims to predict employee turnover at Salifort Motors by analyzing various factors that influence employee retention and departure. By understanding the drivers of turnover, Salifort Motors can implement strategies to improve employee satisfaction and reduce turnover rates.
This project analyzes healthcare data to identify patterns and trends that can help optimize costs and improve patient outcomes. By examining healthcare metrics, treatment costs, patient demographics, and outcomes, this analysis aims to uncover actionable insights for healthcare providers and policymakers.
The purpose of this project is to analyze global indicators data to understand trends in areas such as economic growth, health, education, and environmental sustainability. By investigating these indicators, the analysis aims to identify correlations and patterns that can guide international policy and strategic decision-making.
This project analyzes the 2024 Shanghai University Ranking dataset, focusing on key performance indicators (KPIs) that determine global university rankings. The analysis examines various aspects of university performance, including Alumni scores, Awards, HiCi (Highly Cited Researchers), and PCP (Per Capita Performance).
Open Source Impact
Contributions to external projects
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