Priya Srinivasan

Machine Learning K Nearest Neighbors KNN using Python. This project focuses on salary prediction using the K Nearest Neighbors classification algorithm. I built a KNN model to predict income category greater than 50K or less than or equal to 50K based on demographic and work related features. The project was developed using Python with libraries such as Pandas NumPy and Matplotlib. During the project I applied feature scaling to improve the performance of the distance based learning algorithm. I also performed K value tuning using error rate visualization to identify the optimal value for the model. The final model achieved an accuracy of around 80 percent and was able to make predictions for new employee inputs. This project helped strengthen my understanding of machine learning algorithms data preprocessing model evaluation and practical implementation. I would like to thank ZIA Educational Technology for their guidance and support throughout this project.

Sowmiya Mohan

Getting Hands On with Computer Vision using OpenCV. As part of my learning journey in Computer Vision I practiced several core image and video processing operations using Python and OpenCV. I worked on reading images from disk using cv2.imread and displaying them with cv2.imshow while controlling the display time using cv2.waitKey. I also practiced saving processed images using cv2.imwrite and converting color images to grayscale using cv2.cvtColor. In addition I explored image properties such as shape and size. I implemented webcam video capture using cv2.VideoCapture and handled real time video frames along with keyboard events. I also resized images using imutils while preserving the aspect ratio. This practice helped me strengthen my understanding of fundamental computer vision operations and real time image processing.

Kurushika R

✨ Just wrapped up working on an older Codebasics Power BI Resume Challenge (Hospitality Domain) that really caught my attention. The challenge revolved around AtliQ Grands, a five-star hotel chain in India that was losing market share due to competition and ineffective decision-making. To help the management team make informed, data-driven decisions, I created a Power BI dashboard showcasing key metrics such as: 📊 Revenue, ADR, RevPAR 📊 Occupancy % & Realization 📊 Average Rating & Bookings Analysis

Sowmiya RSP

🚀 Just completed my Python Data Analysis Project! 📊 I recently worked on analyzing Airbnb dataset using NumPy, Pandas, Matplotlib, and Seaborn. This project helped me explore data cleaning, manipulation, and visualization techniques to uncover insights such as: ✅ Price trends across neighborhoods ✅ Room type comparisons ✅ Review patterns over time

Sophia Palani

🚀Learning Update - AI (Computer Vision) Computer vision is a branch of Artificial Intelligence (AI) that allows computers to process, analyze, and understand visual information from the world — just like human vision. Humans can instantly recognize objects, faces, colors, and movements. Computer vision aims to teach machines to do the same using: 💠 Machine Learning 💠Deep Learning 💠Neural Networks 💠Image processing techniques

Sarvesh Venkateshbabu

🚀 Excited to launch my latest Power BI project: The Adventure Works Sales Dashboard! 💡 Key features of my dashboard: ✅ Dynamic KPIs: Revenue, Profit, Order Quantity, Return Rate ✅ Territory-wise Sales Analysis ✅ Time Intelligence: Year-on-Year, Monthly & Weekly Trends ✅ Fully interactive navigation using bookmarks, drill-throughs, and buttons ✅ Efficient data model with Snowflake schema

Kasthuri Rajaraman

Ad Campaign Performance Analysis | Power BI Dashboard In this project, I analysed social media advertising data to understand how marketing campaigns are measured and optimized using analytics. 🔍 What I worked on: ✔ Cleaned and prepared ad performance data ✔ Calculated key metrics like CTR, CPC, Conversions, and ROI ✔ Identified top-performing ads based on engagement ✔ Analysed audience behaviour by age, gender, and interests ✔ Built an interactive Power BI dashboard using DAX and visuals

Priya Srinivasan

Machine Learning K Nearest Neighbors KNN using Python. This project focuses on salary prediction using the K Nearest Neighbors classification algorithm. I built a KNN model to predict income category greater than 50K or less than or equal to 50K based on demographic and work related features. The project was developed using Python with libraries such as Pandas NumPy and Matplotlib. During the project I applied feature scaling to improve the performance of the distance based learning algorithm. I also performed K value tuning using error rate visualization to identify the optimal value for the model. The final model achieved an accuracy of around 80 percent and was able to make predictions for new employee inputs. This project helped strengthen my understanding of machine learning algorithms data preprocessing model evaluation and practical implementation. I would like to thank ZIA Educational Technology for their guidance and support throughout this project.

Sowmiya Mohan

Getting Hands On with Computer Vision using OpenCV. As part of my learning journey in Computer Vision I practiced several core image and video processing operations using Python and OpenCV. I worked on reading images from disk using cv2.imread and displaying them with cv2.imshow while controlling the display time using cv2.waitKey. I also practiced saving processed images using cv2.imwrite and converting color images to grayscale using cv2.cvtColor. In addition I explored image properties such as shape and size. I implemented webcam video capture using cv2.VideoCapture and handled real time video frames along with keyboard events. I also resized images using imutils while preserving the aspect ratio. This practice helped me strengthen my understanding of fundamental computer vision operations and real time image processing.

Kurushika R

✨ Just wrapped up working on an older Codebasics Power BI Resume Challenge (Hospitality Domain) that really caught my attention. The challenge revolved around AtliQ Grands, a five-star hotel chain in India that was losing market share due to competition and ineffective decision-making. To help the management team make informed, data-driven decisions, I created a Power BI dashboard showcasing key metrics such as: 📊 Revenue, ADR, RevPAR 📊 Occupancy % & Realization 📊 Average Rating & Bookings Analysis

Sowmiya RSP

🚀 Just completed my Python Data Analysis Project! 📊 I recently worked on analyzing Airbnb dataset using NumPy, Pandas, Matplotlib, and Seaborn. This project helped me explore data cleaning, manipulation, and visualization techniques to uncover insights such as: ✅ Price trends across neighborhoods ✅ Room type comparisons ✅ Review patterns over time

Sophia Palani

🚀Learning Update - AI (Computer Vision) Computer vision is a branch of Artificial Intelligence (AI) that allows computers to process, analyze, and understand visual information from the world — just like human vision. Humans can instantly recognize objects, faces, colors, and movements. Computer vision aims to teach machines to do the same using: 💠 Machine Learning 💠Deep Learning 💠Neural Networks 💠Image processing techniques

Sarvesh Venkateshbabu

🚀 Excited to launch my latest Power BI project: The Adventure Works Sales Dashboard! 💡 Key features of my dashboard: ✅ Dynamic KPIs: Revenue, Profit, Order Quantity, Return Rate ✅ Territory-wise Sales Analysis ✅ Time Intelligence: Year-on-Year, Monthly & Weekly Trends ✅ Fully interactive navigation using bookmarks, drill-throughs, and buttons ✅ Efficient data model with Snowflake schema

Kasthuri Rajaraman

Ad Campaign Performance Analysis | Power BI Dashboard In this project, I analysed social media advertising data to understand how marketing campaigns are measured and optimized using analytics. 🔍 What I worked on: ✔ Cleaned and prepared ad performance data ✔ Calculated key metrics like CTR, CPC, Conversions, and ROI ✔ Identified top-performing ads based on engagement ✔ Analysed audience behaviour by age, gender, and interests ✔ Built an interactive Power BI dashboard using DAX and visuals