SHAIK ROSHINI

Full-stack developer proficient in fundamental front-end and server-side languages. Analytical and precise professional with 2 years of hands-on experience with full stack, Python, and AWS. A proud team player who primarily focuses on achieving project objectives and is a self-learner with a passion for learning new technologies.

• Microsoft Certified: Azure Fundamentals
• Python for Everyone, Coursera
• Full-Stack Web Development, Udacity
• Python Basics: BootStrap, Udemy
• Discrete Mathematics: NPTEL
• Certified in CRM (Customer Relationship Management)
• SQL in HackerRank(Certification link : https://www.hackerrank.com/certificates/iframe/73372c79a630)
• CSS in HackerRank(Certification link: https://www.hackerrank.com/certificates/iframe/c4ff78a7d804)

1. Hypothyroid Disease Prediction

• Technologies: Machine Learning
• Project Description: Predicting hypothyroidism using machine learning (ML) involves developing a classification model that can classify individuals as either "hypothyroid" or "not hypothyroid" based on TSH values. It has several steps to create a predictive model, like Data Collection, preprocessing, splitting, feature selection, model selection, model training, evaluation, deployment, and training.
• Models(Algorithms):
• Logistic Regression
• Decision Trees
• Random Forest
• Support Vector Machines (SVM)
• The selection of an appropriate algorithm and the quality of the data( age, sex, TSH (Thyroid-Stimulating Hormone) levels, T3 and T4 hormone levels) are critical factors in building an effective hypothyroid prediction model.

2. Practice4Perfection

• Technologies: Python, Sql
• Project Description: This website is designed to help set clear and achievable goals and provide direction for practice.

3. Speech Emotion Recognition 

• Technologies: Deep Learning, Python
• Python distribution: GoogleColab
• Project Description: Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision-making. We used different algorithms such as the MLP Classifier, Convocational Neural Networks, Gradient Boosting Classifier, Random Forest Classifier, Bagging Classifier, and KNN. Based on all algorithms, MLP gives the highest accuracy result.

• Name: Shaik Roshini
• DOB : 02/04/2000
• Martial Status: Married
• Nationality: Indian
• Visa Status: Residency Visa