Keerthi Sagar Reddy Aereddy

* My Thesis is the first to implement the approaches to avoid Redundancy in Subgroup Discovery using Pysubgroup Library. * Successfully implemented 9 different state-of-the-art-algorithms to avoid the Redundancy in Subgroup Discovery. * Evaluated the results interms of Subgroup Quality, Cover Redundancy, Description Redundancy, and Joint Entropy.

* Python, Neural Networks. * Trained CNN model with different breeds, angles of pets, and recognised the pet on the test set.

* Goodreads data, Python, Machine Learning Algorithms. * Predicted the Ratings from Reviews and Reader view(positive, Negative, and Neutral) towards different Genre.

Presented a Research Paper on the topic " Deep Learning Leakage Assessment".

* Python, Machine Learning Algorithms. * Identified essential predictors of breast cancer with odds ratios and generated confidence intervals that provide additional information for decision-making using Logistic Regression.

Presented a Research Paper on the Topic " Active Reinforcement Learning and Preference Learning" .

* John Hopkins dataset, Python, Machine Learning algorithms. * Predicted the number of COVID-19 cases(confirmed, Recovered, and death) of different countries using Time series models.

* Python, Machine Learning algorithms. * Translated English text to Hindi using Sequence to Sequence models.

Focus: C programming and Data structures, Micro processors and Controllers, Integrated Circuit Analysis, Basic simulation Programming, Antenna Wave Propagation.