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.
🛵 MARKET RESEARCH ANALYSIS
Domain: Automotive
Description: Conduct ad hoc market research for AtliQ Motors in the EV/Hybrid Vehicles Industry for data-driven decisions.
Technologies: Tableau, MS-Excel
Key Features:
- Identified the revenue contributions of different booking platforms, enabling targeted marketing and resource allocation.
- Uncovered seasonal booking patterns, allowing for strategic pricing adjustments and promotional planning during peak periods.
🤯 EXPLORATORY DATA ANALYSIS
Domain: Hospitality
Description: Performed data analysis on Hotels dataset using pandas in Python to uncover booking patterns and revenue insights.
Technologies: Python, Pandas, Numpy
Key Features:
- Identified the revenue contributions of different booking platforms, enabling targeted marketing and resource allocation.
- Uncovered seasonal booking patterns, allowing for strategic pricing adjustments and promotional planning during peak periods.
🖋️ 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:
- Wrote complex SQL queries for data extraction & analysis.
- 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:
- Demographic classification / Spending Insights
- 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:
- Reports based upon the template provide by stakeholders.
- Monthly and yearly sales comparisons
🍕PIZZA SALES 🧑🤝🧑HR ANALYTICS
📧 Email 💼 LinkedIn 📚 Portfolio 🐦 Twitter
Let's explore the world of data together! Feel free to reach out—I'm always open to new opportunities and collaborations. 🚀