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Munib Khan
@lucky_racer_7
Data Analyst, Python, React and Mobile App Developer
Pakistan
Englisch, Urdu
Über mich
Hi, I’m Munib Khan Jadoon — a Data Analyst, Data Science Specialist, and Full-Stack Developer creating web, mobile, and data solutions.
What I offer:
• Web & Mobile: React.js, Next.js, Flutter, Dart, Tailored UI/UX
• Data Analytics & Science: Python, SQL, Data Cleaning, Predictive Models
• Dashboards & BI: Power BI, Advanced Excel, Interactive Reports
• Backend & Databases: PostgreSQL, MySQL, Flask, Node.js REST APIs
I deliver scalable, clean, and production-ready applications and dashboards. Let’s bring your project to life!
Kompetenzen
Munib Khan
offline •
Meine Dienstleistungen
Diagramme & Datengrafiken
I will do advanced excel data analysis and interactive dashboards
Maschinelles Lernen
I will do python data analysis, data science, and machine learning projects
Portfolio
Arbeitserfahrung
Management Trainee Officer - SAP Analytics
SAP
Apr 2026 - Present • 4 mos
Working within enterprise environments to design, develop, and optimize robust analytical workflows and data architectures. Utilizing modern analytics solutions to transform complex corporate datasets into strategic, actionable business intelligence. Key Focus Areas: Engineering data pipelines and analytics solutions to support high-level, data-driven business decisions. Analyzing enterprise data structures, ensuring data integrity, and building interactive dashboards for stakeholders. Collaborating on predictive analytics modeling, automated data tracking, and optimizing backend data infrastructure.
Data Analyst Intern
Trionn Design • Vollzeit
May 2024 - Aug 2024 • 3 mos
Worked as a Data Analyst to extract, clean, and analyze complex datasets, transforming raw information into actionable business insights. Maintained data integrity through rigorous preprocessing and feature engineering. Key Achievements: Developed data models and utilized Python and SQL to query databases and streamline reporting workflows. Built data visualizations to help stakeholders identify trends, track key performance indicators (KPIs), and make data-driven decisions. Collaborated on optimizing analytical pipelines, improving data processing efficiency and reporting accuracy.
