About

Ritisha D. is an experienced Data Scientist with a Bachelor of Computer Application Degree specializing in Cloud Computing with AWS. She is a result-oriented individual with statistical and analytical ability and advanced data preprocessing and data visualization techniques. Ritisha has hands-on experience in Machine Learning, Deep Learning, AI, NLP, and Time-series Forecasting with the use of advanced model building, model training, and testing algorithms with cross-validation methods, including the usage of Ensemble Techniques. In addition, Ritisha is experienced in deploying end-to-end products with the use of Streamlit, Flask, AWS (S3, Sagemaker, Dynamo DB, & etc.) and using different frameworks. She is currently working as a Data Scientist at AI Variant, where she has developed more than two end-to-end products to identify decisions worth making with data, framing and determining the required level of analytical rigor, and its impact on the business. Ritisha has statistical skills to make serious decisions in absence of perfect facts and takes a careful approach to conclude safely beyond the data analyzed. She processes as much data as possible for decision-making algorithms and pursues more accuracy for data-driven models. Before joining AI Variant, Ritisha worked as a Data Science Trainee at Excelr Solutions, where she completed 50 days of Data Science and AI Program with offline live mentoring classes. Ritisha has a strong educational background, having completed her Bachelor's degree in Computer Applications from KLES R.L. Science Institute, Belgaum, in 2021. Ritisha's tech stack includes Data Scientist, AWS, Research Scientist, AI, Deep Learning, ML, Python, Sagemaker, test, NLP, Flask, Scikit, SQL, SVM, Seaborn, CNN, Tensorflow, and Web. She has 1.27 years of relevant experience in the field of Data Science and Artificial Intelligence.