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Hello! I am Mohamed Nafrees. Welcome to My Data Analytics Projects.

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About Me

I am a finance professional turned data analyst with a passion for transforming raw data into meaningful insights that drive business success. Skilled in Excel, Power Query, Power BI, SQL, Python, and statistics, I specialize in data analysis, automation, and interactive dashboarding to enhance efficiency, financial visibility, and decision-making. With experience in FMCG, real estate, and trading data, I provide insights that optimize business strategies and performance.

Currently pursuing a Postgraduate Diploma in Data Science, I am expanding my expertise in machine learning and automation to stay ahead in data analytics. I am committed to leveraging data for business impact and thrive in environments where analytics drive strategic decisions.

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Python Projects

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Description

In this project, I delved into the depths of HR data, harnessing its insights to construct a predictive model with Random Forest algorithm. By meticulously analyzing and visualizing the collected data, I crafted a robust tool capable of forecasting the likelihood of employee attrition within the organization.

Skills

Data Cleaning, Exploratory Data Analysis, Outlier Detection, Data Analysis, Descriptive Statistics, Correlation Analysis, Data Visualization, and Random Forest Model Building.

Data Source: Google Advanced Data Analytics Capstone Project

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Description

Throughout this project, I cleaned, transformed, and analyzed the data across various dimensions including market segments, product categories, sub-categories, customer profiles, and geographical regions. Through this analysis, I unearthed invaluable insights and identified pivotal trends that are essential for fortifying business strategies and maximizing customer satisfaction to its utmost potential.

Skills

Data Cleaning, Exploratory Data Analysis, Data Visualization, Descriptive Statistics.

Data Source: Kaggle

SQL Project

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Description

In this project, I utilized SQL to perform data analysis to enhance sales performance within the online clothing retail industry, identifying trends, customer preferences, and optimization opportunities.

Skills

PostgreSQL, Exploratory Data Analysis, SQL

Data Source: Kaggle

Data Analytics Certifications

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