Muhammad Younas
Junior Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Junior Data Analyst with 1+ years in Data Analytics & Business Intelligence
Muhammad is a detail-oriented data analyst with 1.5 years of hands-on experience transforming complex datasets into actionable business insights. He has consistently delivered data-driven recommendations that improve business performance: at KYC 2021 Pvt Ltd, he created dashboards and reports for 10+ departments, conducted A/B testing that drove conversion rate improvements, and identified trends that contributed to a 12% increase in quarterly revenue. His technical expertise spans SQL, Python, Tableau, and Excel, with demonstrated ability to collect, analyse, and interpret data while maintaining accuracy across systems. He combines strong problem-solving and analytical skills with excellent communication-he has presented insights to senior management and collaborated across cross-functional teams. Based in Berlin and ready to support smarter business decisions through data-driven analysis.
Arden University Berlin
MSc Data Analytics & Information Systems Management · Data Analytics & Information Systems Management
November 1, 2022 – December 31, 2023
FAST-NUCES
BSc Electrical Engineering · Computer Engineering
August 1, 2017 – September 30, 2021
KYC 2021 Pvt Ltd
Data Analyst
June 1, 2021 – November 30, 2022
Karachi, Sindh, Pakistan
Pizza Sales Analysis Dashboard
January 1, 2023 – December 31, 2023
Built an interactive Tableau dashboard visualising sales by category, time period, and region, surfacing the top revenue-driving products and peak trading hours. Tools: Tableau, SQL (data extraction & aggregation), Excel.
Electric Vehicles Data Analysis
January 1, 2023 – December 31, 2023
Explored regional EV adoption trends using Python, revealing market growth patterns and infrastructure gaps across multiple datasets. Tools: Python (Pandas, Matplotlib), Jupyter Notebook.
Email Analytics Project
November 1, 2022 – February 28, 2023
Analysed email engagement data to uncover behavioural patterns, improving campaign effectiveness by 20%. Built Excel forecasting models for sales and inventory, reducing stockout incidents by 15%. Produced stakeholder visualisations and reports that improved decision-making efficiency by 10%.
Supermarket POS & Inventory Management System
January 1, 2022 – March 31, 2022
Designed and built a full-featured point-of-sale and inventory system with stock tracking, sales processing, and management reporting. Tools: C# / Visual Studio 2019, SQL Server.
Data Science with Python
Unknown
January 1, 2023 – Present
Data Science for Beginners
Unknown
January 1, 2023 – Present
PostgreSQL: Become an SQL Developer
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal and academic projects, shows initiative and a broad interest in data analytics applications. Their experience in a professional data analyst role aligns well with the target role. The breadth of skills across various tools and languages suggests adaptability and a willingness to learn, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills, which are crucial for a data analyst role. Their experience in collaborating with cross-functional teams and presenting insights to senior management indicates good operational fit. The A/B testing experience also highlights a data-driven mindset.