sahajada molla

This project showcases a comprehensive executive-level dashboard that combines financial performance, sales analytics, operational efficiency, and stakeholder satisfaction into a single, visually intuitive view. The dashboard is designed to support CEO and top management decision-making by presenting critical business KPIs at a glance.

This project focuses on the design and development of a comprehensive executive dashboard that integrates financial performance, sales operations, workforce analytics, inventory management, and stakeholder satisfaction metrics into a single unified view. The dashboard is specifically designed for CEO-level decision-making, enabling leadership to quickly assess organizational health, identify risks, and take data-driven strategic actions. The dashboard consolidates complex datasets into clear KPIs, visual indicators, and trend analysis, ensuring that critical business insights are accessible at a glance.

his project focuses on analyzing an Organizations dataset using SQL queries to extract meaningful business insights. The objective is to strengthen SQL skills through real-world analytical questions related to companies, industries, countries, founding years, and workforce size. The analysis demonstrates how structured queries can transform raw organizational data into actionable insights useful for research, reporting, and decision-making.

This project involves analyzing a Customer Dataset using SQL to extract valuable insights related to customer demographics, subscription behavior, geographic distribution, and company associations. The main goal of this project is to strengthen SQL skills by solving real-world business questions and converting raw customer data into meaningful insights that support marketing and business decision-making.

This project focuses on building an interactive Year-Wise Data Variation Dashboard to analyze how key business metrics change over time. The dashboard provides a clear comparison of yearly performance, helping stakeholders understand long-term trends, growth patterns, and areas of fluctuation. The dashboard consolidates historical data into meaningful KPIs, charts, and visual indicators, allowing users to track increases or decreases across different years. By visualizing year-over-year variation, the dashboard supports better forecasting, strategic planning, and performance evaluation.

This project focuses on building an HR Analytics Dashboard to analyze employee data and support data-driven human resource decisions. The dashboard provides insights into workforce composition, employee performance, attrition trends, and key HR metrics, helping organizations improve employee retention and overall workforce planning. The dashboard transforms raw HR data into meaningful KPIs and visualizations, enabling HR managers and leadership to quickly identify patterns, risks, and improvement areas.

Designed an interactive Retail Sales Performance Dashboard using Tableau to analyze sales, profit, margin, discounts, and regional performance. Built KPI cards, geographic maps, category analysis, and product ranking visuals to identify profitability drivers and optimize business strategy. Enabled data-driven decision-making through dynamic filters and drill-down capabilities.

Tourism Dashboard – Tableau

Built an interactive dashboard to analyze and rank travel destinations using budget, weather, and experience data. Implemented parameters, filters, Top-N analysis, and stacked charts to deliver actionable insights.

This project demonstrates the complete implementation of the Software Development Life Cycle (SDLC) in a Data Analytics domain, focusing on transforming raw sales data into meaningful business insights. The objective of this project is to analyze retail sales performance and build an interactive dashboard that supports data-driven decision-making.

The project covers all major SDLC phases including requirement gathering, data collection, data cleaning, data modeling, visualization, and reporting. Using tools like Power BI and Excel, the dataset was processed to identify key performance indicators (KPIs) such as total revenue, profit margin, sales trends, and customer behavior.

An interactive dashboard was developed to provide a clear and dynamic view of business performance across different regions, time periods, and product categories. This helps stakeholders quickly understand trends, monitor growth, and make strategic decisions.

Worked as a Human Resources Assistant at Breslau Info Tech from 24 June 2024 to August 2024, supporting recruitment activities, maintaining employee records, assisting in onboarding processes, and helping prepare HR reports while ensuring smooth day-to-day HR operations.