Analyst

ADIL MUHAMMED K M
Data Analyst Business Intelligence & Analytics
Riyadh, Saudi Arabia • Transferable Iqama
0599013507 • [email protected]
LinkedIn • GitHub

PROFESSIONAL SUMMARY
B.Tech Computer Science and Engineering graduate with hands-on experience building end-to-end data analytics solutions
using Python, SQL, Power BI, and Tableau. Delivered projects spanning retail analytics on 400K+ records, churn and sales
forecasting, and predictive modelling. Holds a transferable visa, immediately available in Riyadh. Seeking an entry-level Data
Analyst / Business Analyst role in Saudi Arabia's growing data and technology market.
SKILLS
Data Analysis & BI: Power BI, Tableau, MS Excel (Advanced), SQL, Data Cleaning & Visualization, Forecasting, Churn Analysis
Programming: Python (Pandas, Scikit-learn, Matplotlib, Seaborn), Java, Kotlin, C, JavaScript, HTML/CSS
Databases & Tools: MySQL Workbench, Jupyter Notebook, Git/GitHub
Soft Skills: Leadership, Problem-Solving, Team Collaboration, Communication, Adaptability
PROJECTS
Retail Business Intelligence & Analytics System January 2026
Python, SQL, Power BI, Churn Analysis github.com/adilmuhammedkm/Retail-Business-Intelligence
● Built an end-to-end retail analytics solution on a 400K+ row dataset using Python and SQL, covering data cleaning,
analysis, and validation.
● Developed Power BI dashboards with forecasting and churn analysis, surfacing insights on £8.83M revenue, customer
behaviour, and sales trends for business decision-making.
Sales and Profit Dashboard January 2025
Microsoft Power BI, MS Excel, Data Visualization github.com/adilmuhammedkm/ Data-Analysis-Portfolio
● Created an interactive dashboard with stacked column, bar, donut, and pie charts to track revenue and profit
performance.
● Incorporated advanced Power BI features — slicers, Q&A, key influencers, and decomposition tree — for deeper, self-
serve data analysis.
AtliQ Sales Insights Dashboard November 2024
Tableau, MySQL Workbench, SQL, Data Visualization github.com/adilmuhammedkm/ Data-Analysis-Portfolio
● Designed a Tableau dashboard for AtliQ displaying sales trends, top products, and customer demographics.
● Connected MySQL Workbench for real-time data extraction, enabling faster and more accurate business insights.
Python Data Visualization: Retail Sales & Movie Industry Analysis February 2025
Python, Pandas, Seaborn, Matplotlib, WordCloud github.com/adilmuhammedkm/Python-Data-Visualization
● Analyzed Walmart sales trends against external factors (temperature, holidays, CPI) through exploratory data
visualization, and built an interactive dashboard to identify risks, growth opportunities, and revenue drivers.
● Conducted exploratory analysis of movie industry data — genres, runtime, budget, revenue, and audience engagement —
to surface patterns in what drives box-office performance.
Predictive Modelling: Student Outcomes & Vehicle Purchases February 2025
Python, Scikit-learn, Pandas, Joblib, Machine Learning github.com/adilmuhammedkm/Machine-Learning-Fundamentals
● Engineered a logistic regression model to predict student pass/fail outcomes from exam marks, using data preprocessing
and model evaluation metrics.
● Built a linear regression model to predict hybrid vehicle purchases from demographic and financial factors; automated
and exported predictions for decision-making.
CERTIFICATIONS
• Preparing Data for Analysis with Microsoft Excel (Microsoft, 2026)
• Foundations: Data, Data, Everywhere (Google, 2026)
• SQL for Data Science (Great Learning, 2023)
• Getting Started with AI and Machine Learning (LinkedIn Learning, 2023)
• Introduction to Programming Using Python (HackerRank, 2022)
EDUCATION
Lovely Professional University, Punjab, India Aug 2022 – May 2026
Bachelor of Technology — Computer Science and Engineering
National Higher Secondary School, Kerala, India Apr 2020 – Mar 2022
Intermediate (DHSE) — 81%
S N Vidya Bhavan, Kerala, India Apr 2018 – Mar 2020
Matriculation (CBSE) — 87.5%