Yugandhara muthal

As a graduate in Life Sciences passionate about delving into the world of data science, I bring a unique blend of analytical thinking and domain expertise to the table. My academic journey has equipped me with a solid foundation in biological concepts, research methodologies, and a curiosity to explore the intricate nature of data.

I am excited to embark on a career path where I can merge my understanding of life sciences with the power of data analytics. Through coursework and practical projects, I've honed my skills in data manipulation, statistical analysis, and data visualization tools. This fusion allows me to approach data challenges with a fresh perspective, leveraging my scientific knowledge to extract meaningful insights. 

Having experience of preparing Technical Documentation for Medical Devices. Preparation of Technical Documentation is based on critical analysis of the device through various aspects to check with safety, efficiency and integrity of the device in order to achieve it's intended use. 

I worked on Technical documentation of Class I, Class II & Class III medical devices for approval for the distribution specifically in the European region.

Recently, I completed ‘Data science with Python’ course which results into increasing awareness, importance and knowledge about the Data world. I completed one hands-on project 'Binary Classification with a Software defects dataset. It involved predicting defect probabilities in the Test dataset using various models like Neural Networks (MLP), Supervised (Xgboost, Catboost, GBM, LightGBM, Decision Tree, Naive Bayes, Voting Classifier), and Unsupervised (PCA, K-means) algorithms, achieving prediction accuracies between 71% to 82%.