Venkata Mani Sai Kiran Chikati

Productive and skilled student with strong problem-solving skills and very good at managing time, effective

• Machine learning (Skill vertex)
• Python (Hacker Rank)
• Problem solving (hacker Rank)

• CoLab
• Visual Studio Code
• Anaconda
• Tensor flow
• PyTorch

• Technology sav
• Esports Player
• Traveling
• Stock Market

1.Blood Bank Management System, Designed and implemented a comprehensive Blood Bank Management System. The system facilitates efficient blood search based on blood groups and maintains detailed donor information, including health records. Donor details are verified by hospitals to prevent false cases, ensuring data accuracy. 

2.Stock Market Prediction Using Machine Learning, Utilized machine learning techniques, specifically Long Short-Term Memory (LSTM) and sentiment analysis, to predict future stock prices. The project involved analyzing market sentiment and historical data to create predictive models for stock price movements.

 3.Measuring Dimensions of Object Using Camera with Deep Learning, Developed a project using OpenCV and Python to measure the dimensions of objects using a camera and deep learning techniques. The system determined object dimensions by calculating pixels per millimeter (ppm) and displayed accurate measurements.

4.Conducted an exploratory analysis and classification of the Pima Indians Diabetes dataset. Utilized preprocessing techniques including Min-Max scaling, addressed class imbalance using SMOTE, and trained Perceptron models. Evaluated model performance, conducted feature importance analysis, and optimized hyperparameters through Grid Search. Demonstrated improved classification accuracy and F1 scores. Suggested future work includes exploring different algorithms, feature engineering, and advanced methods for handling class imbalance.

5.In the realm of machine learning, I embarked on a project involving image classification. Utilizing the CelebA dataset, I developed a multi-target model using Keras and VGG16. The model classified images based on gender and specific facial features, demonstrating its ability to learn complex patterns. This project honed my skills in data preprocessing, model building.