SKILLS

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SQL
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Power Bi
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Python
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MS Excel
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certificates

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DATA ANALYTICS

LANGUAGES

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English (Proficient)
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Hindi (Advanced)
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Bengali (Native)

Interest

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Dancing
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Painting
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Videography

Personal Info

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DOB : 13/04/2002
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Marital Status : Single

Srishti Saha

9163565682

placement@webskittersacademy.in

486 Pearabagan Laskarpur, Kolkata-700153

https://www.linkedin.com/in/srishtisaha13042002/

PROFILE

My goal is to continuously expand my expertise and utilize my knowledge effectively to contribute to the company’s success, drive innovation, and establish myself as an asset to the organization. With a long-term vision of leading impactful projects and building high-performing teams, I aspire to take on challenges that foster both personal and professional growth, ultimately positioning myself as a leader in the industry.

Personal Project/s

Project Name :

Music Store SQL Project

Github link :

https://tinyurl.com/22z4obl3

Description :

This SQL project involved analyzing a digital music store database to drive business intelligence through advanced querying techniques. By utilizing recursive CTEs, subqueries, and complex joins, I extracted key insights into regional sales performance, customer spending habits, and genre popularity to support data-driven marketing and event planning. The analysis successfully identified top-tier customers and high-performing artists, demonstrating the ability to transform raw relational data into actionable organizational strategy.

Project Name :

Pizza Sales SQL Project

Github link :

https://tinyurl.com/2ay2ddxc

Description :

This SQL project involved analyzing a retail dataset to evaluate sales performance and consumer purchasing patterns. I utilized aggregate functions to calculate key business metrics, including total revenue, average order value, and pizza sales volume. The analysis featured time-series queries to identify daily and monthly order trends, alongside categorical breakdowns to determine sales percentages by pizza size and type. By ranking products to identify top and bottom performers by revenue and volume, the project provides data-driven insights to optimize inventory and marketing strategies.

Project Name :

HR Analytics Employee Attrition Performance with Power-Bi

Project Url :

Github link :

https://tinyurl.com/28yypcdn

Description :

This project involved building an HR Analytics dashboard to identify and visualize key drivers of employee attrition. By analyzing workforce data, I pinpointed critical turnover periods—specifically the high-risk one-year tenure mark—and evaluated retention trends across different departments. The dashboard provides a high-level view of essential KPIs like attrition rates and average tenure, enabling data-driven strategies for targeted employee engagement and improved retention.

Project Name :

Adidas Sales Analysis with Power-Bi

Github link :

https://tinyurl.com/26ptln65

Description :

This project involved building a high-impact sales dashboard to analyze Adidas retail data, visualizing $900M in revenue and a 42% operating margin. By tracking regional performance and product categories, the dashboard identifies key profit drivers and sales trends. The analysis provides actionable insights to optimize retail strategy and inventory management through a professional, high-contrast interface.

Project Name :

Simple Finance Dashboard with Python

Github link :

https://tinyurl.com/27r6dp6v

Description :

This project involved developing a web-based finance application using Python and the Streamlit framework to streamline personal expenditure tracking. I implemented automated data processing with the Pandas library to analyze bank statements and categorize spending patterns. The application provides interactive visualizations of financial data, enabling users to monitor their budget and visualize transaction trends through a clean, functional interface.

Project Name :

Adidas Interactive Sales Dashboard with Python

Github link :

https://tinyurl.com/2dl88tv5

Description :

This project involved developing a web-based interactive sales dashboard using Python and the Streamlit framework to visualize Adidas retail performance. I utilized the Pandas library to process and analyze sales data, focusing on key business metrics such as total sales, operating profit, and regional performance. The application features a professional, high-contrast interface—including an Adidas-inspired monochrome theme—to provide clear, actionable insights into sales distribution and product category trends.

Project Name :

Ferns n Petals Sales Dashboard Excel Project

Github link :

https://tinyurl.com/2a72fa25

Description :

This project involved a sales performance analysis for a food and beverage retailer, integrating customer, order, and product data to identify key growth drivers. By leveraging advanced Excel techniques and pivot tables, I synthesized transactional data into insights on purchasing behaviour and product trends. The analysis supports data-driven decisions for inventory optimization and targeted promotional strategies.

Project Name :

Finance Expenses Dashboard Excel Project

Github link :

https://tinyurl.com/24jsvphn

Description :

This project involved a financial analysis of expenditure data to monitor spending patterns and budget performance. By leveraging advanced Excel functions and pivot tables, I synthesized raw transaction records into categorical insights and cost-saving opportunities. The analysis provides a clear overview of financial health to support data-driven budgeting and resource allocation.

Experience/s

EDUCATION

B.C.A (Bachelors in Computer Application) (84%)

2020

Higher Secondary (72.32%)

2020

Secondary (53%)

2018