

Seeking a challenging and learning position to extract meaning from and interpret various types of data utilizing the up-to-date technologies and resources. Demonstrated ability to learn quickly and work well as part of a team or independently as needed, with effective communication across all company levels.
This is the project about FIFA20. FIFA is a football simulation game, released each year by Electronic Arts Inc. In this project I used Machine Learning models to predict that which country produces more football player and overall score of the country.
Technology used: Numpy | Pandas | Matplotlib | Seaborn | Statistics.
GitHub: https://tinyurl.com/chandransfifa20
This is the project about predict the employee’s performance rating by using machine learning algorithms. This is the project given by INX Future inc, one of the leading data analytics and automation solutions.
Technologies used: Pandas, Matplotlib, Seaborn, Numpy, Scipy, Numpy, SMOTE, Sklearn.
GitHub: https://tinyurl.com/chanIABAC
In this task, I created an AI tool that generates caption based on the images. We used the VisionEncoderDecoder Model and ViTFeatureExtractor from the transformers library to extract features from the image and generate captions.
Technologies used: TensorFlow, Matplotlib, Torch, PIL, Transformers.
GitHub: https://tinyurl.com/chandranscaption
This is the project about predict the patients who are affected by liver disease. This dataset was used to evaluate prediction algorithms in an effort to reduce burden on doctors. In this project I’ve used all Machine Learning algorithms to predict the liver patients.
Technology used: Numpy | Pandas | Matplotlib | Seaborn | Sci-Kit Learn.
GitHub: https://tinyurl.com/chansliver
This is the project about predict how likely individuals are to receive their H1N1 and seasonal flu vaccines. In this project I’ve used all Machine Learning algorithms to predict the vaccines.
Technologies used: Numpy, Pandas, Matplotlib, Seaborn, Sklearn library, IQR, LabelEncoder, All Classification techniques to predict the score of a model.
GitHub: https://tinyurl.com/1Chandransvaccine
In this task, I created an AI tool that generates caption based on the images. We used the VisionEncoderDecoder Model and ViTFeatureExtractor from the transformers library to extract features from the image and generate captions.
Technologies used: TensorFlow, Matplotlib, Torch, PIL, Transformers.
GitHub: https://tinyurl.com/chandranscaption
This project focuses on leveraging HR analytics to optimize employee attendance tracking through the utilization of Power BI, a powerful data visualization and business intelligence tool.
Technologies used: Power query, Transform data, Parameters, Visualizations
GitHub: https://tinyurl.com/hranalyticsss