Grace Sabu George

+1-714-***-**** adz5ah@r.postjobfree.com GitHub LinkedIn

Objective and Professional Goal:

Dedicated data science enthusiast with a positive attitude and problem-solving skills honed and primed for success in the dynamic challenging realm of artificial intelligence processing environments. Profound interest in Machine Learning, particularly in the art of refining, dissecting, and extrapolating knowledge from both raw and structured data. Currently seeking data science and software engineering opportunities to leverage my skills to build Machine Learning models yielding actionable and invaluable insights for fostering organization growth and improving revenue generation. Education:

Masters in Data Analysis at Mahatma Gandi University August 2023 Bachelors in Mathematics at Mahatma Gandi University August 2021 Work Experience:

1. Wahy Lab Solutions – Machine Learning AI Intern: January 2023 - March 2023

● Successfully conceptualized, executed, and demonstrated a hyperthyroidism Random Forest model employing a diverse dataset of health indicators for accurate diagnostics while closely collaborating with healthcare professionals to ensure ethical standards and patient privacy, resulting in a robust solution furnishing 97% accuracy for enabling early detection of hyperthyroidism

● Spearheaded the creation of a consumer protection tool employing a Natural Language Processing Adaptive Boosting model to identify and swiftly highlight deceptive Amazon product reviews, thereby safeguarding product integrity and bolstering customer confidence in a trustworthy e-commerce environment.

● Applied min-max scaling, box plot outlier detection, and heat map data visualization for developing a robust Parkinsons disease detection framework incorporating a Random Forest model that demonstrated exception efficiency by identifying over 92% of cases. Technical Skills:

Programming: Python, R, SQL Development Process: Agile/Scrum, Dev Ops, and Six Sigma Software: Jupyter Notebook, Google Collabs, GitHub, R Script, Pycharm, Visual Studio, Power BI, Microsoft Office Suite Certifications:

• Bolstered my data analysis capabilities through the completion of an online SQL course for Data Science provided by Data Camp.

• Successful Data Camp R course completion amplifying my statistical modeling and data visualization skills for robust proficiency. Projects:

1. Credit Card Fraud Detection:

• Leveraged Kaggle data repositories, meticulously performed data preprocessing, and employed principal component analysis feature selection to develop a Machine Learning framework for identifying fraudulent credit card transactions.

• Implemented a Python-based Neural Network using the TensorFlow library, diligently fine-tuning classifier weights, thereby optimizing and enhancing model accuracy in detecting fictitious exchanges and achieving an overall 98% success rate. Relevant Course Work:

Regression Analysis Sampling and design Theory Clinical Trials Optimization Techniques Artificial Intelligence Machine Learning Database Technology Multivariate Analysis Time Series Analysis Real Analysis Data Visualization Complex Analysis Graph Theory

Abstract Algebra Bigdata Analysis Stochastics Process Mathematical Analysis. Professional Affiliations:

• Indian National Service scheme volunteer building houses for ending homelessness and running blood drive donation events.

• Mahatma Gandi Women’s Advancement club member encouraging young women to purse stem and entrepreneurial activities.

• St. Gregorios senior assisted living center volunteer working with disabled and elderly people for enhancing their quality of life.

• Student union representative contributing to the cultivation of a nurturing and inclusive scholastic milieu. Please see my GitHub and LinkedIn for a full list of all pending projects *