Business Analyst
Highly skilled and detail-oriented professional with a Master's in Business Analytics and a Bachelor's in Commerce. Proficient in advanced data analysis, statistical modeling, and business intelligence tools. Recognized for developing data-driven solutions that drive strategic decision-making and business growth. Certified in SQL, Microsoft Excel, Power BI, and Python. Proven track record in optimizing productivity, enhancing operational efficiency, and providing actionable insights.
©2024
About Me
Hello! I’m Nabheen Sobhan, a passionate Business Analytics Specialist with a Master's in Business Analytics and Consultancy from the University of Hertfordshire and a Bachelor's in Commerce from Christ College, Irinjalakuda. I specialize in advanced data analysis, statistical modeling, and business intelligence tools.
Professionally, I excel at turning complex data sets into actionable insights that drive strategic decisions and business growth. With expertise in SQL, Excel, Power BI, and Python, I’ve successfully improved operational efficiency and optimized business processes in roles at John Lewis & Partners, Guidant Global, and KVJ Analytics Pvt Ltd.
Beyond work, I’m an avid cricket player and love hiking. These activities keep me active, foster teamwork, and offer a fresh perspective that I bring into my professional life.
I’m always eager to learn and grow, both personally and professionally. Let’s connect to discuss data analytics, business strategies, or share hiking stories. Together, we can turn data into actionable insights and drive your business forward.
My Technology Voyage
Education
Master of Science - MS, Business Analytics and Consultancy - University of Hertfordshire
Bachelor of Commerce - BCom, Finance- Christ College, Irinjalakuda
Work
Operations Associate - John Lewis & Partners
Supply Chain - Guidant Global
Student Intern - KVJ Analytics Pvt Ltd
Certifications
The Complete SQL Bootcamp: Go from Zero to Hero, Udemy
Microsoft Excel - Excel from Beginner to Advanced, Udemy
Microsoft Power BI Desktop for Business Intelligence, Udemy
100 Days of Code: The Complete Python Pro Bootcamp, Udemy
Unlocking the power of data to drive informed decisions and foster business growth. Passionate about analytics, committed to excellence.
The Adidas US Sales Analysis project began with a comprehensive dataset containing detailed sales information.
The dataset included various parameters such as:
- Region: The geographical area where sales occurred.
- City: Specific cities within the regions.
- Product Category: Different categories of Adidas products like Men’s Apparel, Women’s Apparel, Men’s Athletic Footwear, Women’s Athletic Footwear, and Men’s Street Footwear.
- Price per Unit: The cost of each unit sold.
- Units Sold: The number of units sold in each category.
- Total Sales: The total revenue generated from sales.
- Operating Margin and Profit: Financial metrics to evaluate the performance and profitability of each product category.
- Sales Method: The channel through which sales were made (e.g., online, outlet)
Files Link: https://drive.google.com/drive/folders/1wBm2JzpKqQ1tuAeW8nh8mW4TJ_nGyRNe?usp=sharing
The analysis phase involved transforming the raw data into meaningful insights through various data visualization and analytical techniques.
Key aspects of the analysis included:
- Sales Structure in 2020: A detailed breakdown of the sales structure throughout the year, highlighting monthly sales performance across different product categories. This helped in identifying peak sales periods and seasonal trends.
- Average Unit Price: A comparative analysis of the average unit price across different product categories, providing insights into pricing strategies and market positioning.
- Performance Metrics: Evaluation of operating margins and profit margins to understand the financial health and profitability of each product category.
- Top Cities and Sales Channels: Identifying the top-performing cities and the effectiveness of different sales channels (e.g., online, outlet) in driving sales.
get in touch
Linkedin
https://www.linkedin.com/in/nabheen-sobhan-7462391b5/
Email
nabheensobhan@gmail.com
Phone
+447442001948
