Insurance Data Analysis
Project Overview: SHIELD Insurance aims to improve decision-making by leveraging a dashboard that delivers actionable insights into critical performance metrics.
About Me
I’m Aneesh Mohanan, an MBA graduate and Google Certified Data Analyst with internship experience at Tata and Accenture, and over 10 years in finance and data analysis at Edaad Technologies. Proficient in Power BI, Python, MySQL, Excel, IT, Automation, AI and Cloud Services, I transform complex data into actionable insights across real estate, healthcare, forensics, and F&B sectors.
Project Overview: SHIELD Insurance aims to improve decision-making by leveraging a dashboard that delivers actionable insights into critical performance metrics.
Project Overview: Conducted comprehensive financial and VAT analysis using Power BI, DAX, Python, Excel to provide actionable insights and enhance decision-making processes.
Project Overview: Experienced Financial Data Analysis in the property management sector. I possess expertise in financial reporting, budgeting, forecasting, and advanced data analysis to ensure the financial health and regulatory compliance of real estate assets.
Project Overview: This Power BI dashboard provides an interactive monthly analysis of a company's **Income Statement** for the year 2025. It visualizes **Revenue**, **Direct Expenses**, **Indirect Expenses**, and calculates key performance metrics such as **Gross Profit**, **Net Profit**, and **Profit Margins**.
Project Overview: This Power BI dashboard presents a comprehensive analysis of a dental clinic’s operations for the year 2024. It enables monitoring of key metrics such as **revenue**, **cost**, **profit**, **patient count**, **treatment distribution**, **dentist performance**, **payment types**, and **demographics**. Designed for clinic managers and analysts to make data-driven decisions and optimize service delivery.
Project Overview: Project Overview An interactive dashboard designed to analyze key sales and operational metrics of a coffeeshop chain across three locations.
Project Overview: This project showcases my **MySQL data analysis skills** using a simulated restaurant database. The goal was to analyze the **newly launched menu**, understand **customer ordering behavior**, and provide **actionable insights** to optimize operations and offerings.
Project Overview: Developed a user-friendly AI application utilizing Large Language Models (LLM) and Python libraries to revolutionize document analysis and content retrieval.
Project Overview: This project involved developing an interactive dashboard to analyze patient data from a healthcare facility. The dashboard was designed using Python, Power BI, DAX, and Excel, providing both desktop and mobile views for ease of access and navigation.
Project Overview: In this project, I developed an interactive Sales-Purchase and VAT Analysis report using Google Data Studio to provide valuable insights into sales, purchase, and VAT trends for businesses. The report visualizes key financial metrics and presents actionable insights to drive better business decisions..
Project Overview: This project involved automating the extraction of data from .eml (email) files, conducting data analysis, and creating visualizations using Python. The extracted data was analyzed to uncover trends in email activity over time, identify key senders and recipients, and visualize common email subjects. I used libraries such as Pandas, Matplotlib, and Seaborn to process and visualize the data, providing valuable insights into the email data set. The final report and visuals were exported to Excel for easy sharing and further analysis.
Project Overview: This project is focused on analyzing the sales data of a coffee shop using Python's Pandas, NumPy, Matplotlib, and Seaborn libraries. The dataset contains various details of transactions, including the transaction date, time, store location, product details, and sales amounts. The aim is to perform an exploratory data analysis (EDA), handle missing data, perform data cleaning, and generate visualizations to uncover key insights about sales trends across different store locations and time periods.
Project Overview: This project demonstrates a simple linear regression model using Streamlit to predict salaries based on years of experience. The model is trained on a dataset and provides real-time predictions and visualizations through a web application.
Tata Data Visualisation: Empowering Business with Effective Insights Job
Simulation on Forage - December 2023
- Completed a simulation involving creating data visualizations for Tata
Consultancy Services
- Prepared questions for a meeting with client senior leadership
- Created visuals for data analysis to help executives with effective decision
making
Accenture North America Data Analytics and Visualization Job Simulation on
Forage - February 2024
- Completed a simulation focused on advising a hypothetical social media client
as a Data Analyst at Accenture
- Cleaned, modelled and analyzed 7 datasets to uncover insights into content
trends to inform strategic decisions
- Prepared a PowerPoint deck and video presentation to communicate key insights
for the client and internal stakeholders