help small and medium-sized businesses understand their data and make better business decisions. Data analysis to find trends, problems, and growth opportunities Creating interactive dashboards and reports for clear insights Analyzing sales, marketing, and customer data Identifying profit leaks and performance gaps Turning complex data into simple, actionable insights Tools & Technologies Power BI – Interactive dashboards and data visualization Microsoft Excel – Data analysis, reporting, and modeling Python – Data analysis, automation, and data processing

Jasmin Marvaniya

help small and medium-sized businesses understand their data and make better business decisions. Data analysis to find trends, problems, and growth opportunities Creating interactive dashboards and reports for clear insights Analyzing sales, marketing, and customer data Identifying profit leaks and performance gaps Turning complex data into simple, actionable insights Tools & Technologies Power BI – Interactive dashboards and data visualization Microsoft Excel – Data analysis, reporting, and modeling Python – Data analysis, automation, and data processing

Available to hire

help small and medium-sized businesses understand their data and make better business decisions.

Data analysis to find trends, problems, and growth opportunities

Creating interactive dashboards and reports for clear insights

Analyzing sales, marketing, and customer data

Identifying profit leaks and performance gaps

Turning complex data into simple, actionable insights

Tools & Technologies

Power BI – Interactive dashboards and data visualization

Microsoft Excel – Data analysis, reporting, and modeling

Python – Data analysis, automation, and data processing

See more

Language

Hindi
Fluent
English
Fluent
Gujarati
Fluent

Work Experience

Data analytics at Nielsen
March 1, 2022 - Present

Education

MBA at Parul university
March 3, 2021 - March 6, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Consumer Goods, Manufacturing
    paper FMCG data analytics project

    This project focuses on analyzing sales and operational data from an FMCG business to uncover insights that help improve profitability and decision-making.

    Many FMCG companies generate large volumes of data from distributors, retailers, and online channels, but often lack clear visibility into what is actually driving revenue and profit. In this project, I collected and analyzed sales, product, and regional performance data to identify key business patterns.

    Using Excel, Python, and Power BI, I cleaned and structured the data, performed exploratory analysis, and built an interactive dashboard to visualize business performance.

    The dashboard highlights:

    Sales performance by product category and SKU

    Regional and channel-wise revenue trends

    Top and underperforming products

    Profit margin analysis

    Monthly sales growth patterns

    Through this analysis, the project identifies hidden gaps such as low-performing products, inefficient sales channels, and opportunities for revenue growth.

    The final Power BI dashboard enables business managers to quickly monitor performance and make data-driven decisions regarding product strategy, distribution, and marketing investments.

    Tools Used:
    Power BI • Excel • Python • Data Cleaning • Data Visualization • Business Analytics