ThejaswiniLamani
🌟 Data Analytics Enthusiast | Passionate about deriving insights from data |💻Skilled in Excel, SQL, Python, and R | 🤖 Currently a robotics and coding trainer
Pinned Repositories
Amazon-Dashboard
Amazon Return Sales Dashboard This repository contains a comprehensive dashboard for Amazon sales data analysis. The dashboard provides valuable insights into sales performance, return orders, top-selling categories, and more
Blinkit-Dashboard
Showcasing My Blinkit Sales Dashboard Project Situation: I embarked on a project to create a comprehensive sales dashboard. The goal was to gain hands-on experience with Power BI and improve my data visualization skills. My task was to design an intuitive and informative dashboard that would provide valuable insights into Blinkit’s sales data.
Coffee-shop-Sales
🚀 Excited to share my latest project: A comprehensive Coffee Shop Sales Data Dashboard created using Excel! 📊 This dashboard provides an in-depth analysis of key metrics for our coffee shop business, including: ☕ Total Sales: $6,98,812.33 👣 Total Footfall: 149,116 💳 Average Bill / Person: $4.69 🛒 Average Order / Person: 1.4
Tomato-diseases-detection
Detect and classify tomato leaf diseases using Convolutional Neural Networks (CNN). This project utilizes a dataset sourced from Kaggle, containing images of diseased and healthy tomato leaves. Train the model to identify various diseases affecting tomato plants. Additionally, the system suggests remedies for the particular disease detected,
Video-game-Sales
In this project i have done analysis on video game sales data Dataset has been taken from maven analytics.io were it contains one table Tools used are: SQL and Excel It totally contains 16237 rows in this project i have done analysis on games in which user are interested Sports, Platform, and Racing genres have the highest-selling games globally.
BankCustomerChurn
The dataset, is taken from by Maven Analytics, contains account information for 10,000 customers from a European bank. It includes critical features such as credit scores, account balances, product ownership, and churn status. The goal is to analyze the dataset to identify factors influencing customer churn and help the bank take proactive measures
2nd-attempt-QR-CODE
Assignment
Binary_smoke_predictor_using_Health_Metrics
Blur-fuzz-Image
This project is aimed at distinguishing between blurred and sharp images using TensorFlow libraries, specifically implementing a Convolutional Neural Network (CNN) algorithm. The model architecture utilized here is DenseNet. We incorporated the Python Imaging Library (PIL) from the image library to handle image processing tasks efficiently.
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