Welcome to my GitHub profile!
I'm on a journey to become a Data Analyst specializing in Machine Learning. 🌟

Aspiring Data Analyst with a passion for numbers and data visualization, looking to align my career with Machine Learning.

• I love playing with numbers and enjoy the intricacies of mathematics.
• Experienced in Power BI and Excel for insightful data visualization.
• Practicing MySQL for data management and querying.
• Currently learning Python to advance my skills in data analysis and machine learning.

My goal is to utilize my analytical skills to make data-driven decisions based on mathematical principles, starting as a data analyst and progressing towards expertise in machine learning, creating impactful solutions along the way.

• Data Collection & Cleaning: Proficient in collecting, cleansing, and organizing data from diverse sources, including databases, spreadsheets, and external systems. Ensuring high data quality and integrity.
• Data & Statistical Analysis: Skilled in analyzing data using statistical techniques and data mining to identify trends, patterns, and actionable insights.
• Reporting & Visualization: Skilled in creating compelling reports, dashboards, and visualizations using Power BI and Excel to make complex information clear and support informed decision-making.
• Problem Solving & Critical Thinking: Use data-driven approaches to solve business problems, optimize processes, and make data-informed decisions.
• Data Quality & Integrity: Committed to performing thorough data quality assessments and stress tests to guarantee reliable and trustworthy data.

🖋️ ADHOC ANALYSIS
Domain: Cosumer Goods
Description: Perform ad hoc analysis for Atliq Hardwares to extract actionable insights for swift, data-driven decision-making by management.
Technologies: SQL, MySQL, Joins, Subqueries, CTE
Key Features:

1. Wrote complex SQL queries for data extraction & analysis.
2. Optimized SQL queries for improve performance and efficiency.

💳 CREDIT CARD RECOMMENDATION
Domain: Banking
Description: Developed a comprehensive analysis dashboard using Power BI to visualize usage, identify trends, patterns and uncover insights.
Technologies: Power BI, Power Query, DAX
Key Features:

1. Demographic classification / Spending Insights
2. Credit Card Feature Recommendations

🖱 SALES & FINANCE REPORT
Domain: Sales
Description: Created detailed reports using MS-Excel, including Pivot Tables and Power Pivot, to provide monthly and yearly sales comparisons.
Technologies: MS-Excel, Pivot Table, Power Pivot
Key Features:

1. Reports based upon the template provide by stakeholders.
2. Monthly and yearly sales comparisons

🍕PIZZA SALES 🧑‍🤝‍🧑HR ANALYTICS

📧 Email 💼 LinkedIn 📚 Portfolio 🐦 Twitter ▶️ YouTube 🧩 Kaggle

Let's explore the world of data together! Feel free to reach out—I'm always open to new opportunities and collaborations. 🚀