Yogesh Kumar Reddy Beeram

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Hardworking and passionate job seeker with strong organizational skills eager to secure position. Ready to help team achieve company goals. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

• Street Cause Run for a Cause, 08/01/22
• Participant IIC regional MEET held by Ministry of Education's Innovation cell, 12/01/23

• Co-ordinator, Street Cause, 2021-01-01, 2022-01-01
• Co-ordinator, E-DAM IARE, 2020-01-01, 2022-01-01

Movie Recommendation System Using Sentiment Analysis, The integration of sentiment analysis into movie recommendation systems, emphasizing its benefits in providing personalized and accurate movie suggestions. These systems gain insights into viewers' preferences and emotions towards specific movies in Python machine learning., Python 3.8.10, VS studio, Machine Learning

 BI-DIRECTIONAL BEAMFORMING FOR INTERFERENCE, Bidirectional Beamforming for Interference Suppression. It differs from traditional methods by simultaneously selecting the transmit correlation matrix and receive beamformer to maximize the signal-to-interference-plus-noise ratio (SINR). This strategy addresses challenges such limited training data Matlab., MATLAB, https://github.com/yogi-112/Bi-directional-Beam-forming-.git

 COMPARATIVE ANALYSIS OF CNN OPTIMIZERS FOR SKIN LESION RECOGNITION, Conducted a comprehensive comparative analysis of CNN optimizers for skin lesion recognition, utilizing seven distinct optimization methodologies. Evaluated optimizer effectiveness through meticulous examination of validation accuracy and loss metrics depicted graphically. This endeavor underscores a dedication to precise, evidence-based decision-making and a deep understanding of neural network optimization techniques., Final year project; Input: HAM10000

• python, Hackerrank - [2021]
• problem Solving using C, Hackerrank - [2021]
• Microsoft Azure, FUTUREREADYTALENT - [2022]
• java, Hackerrank- [2022]
• HTML5, InfosysSpringBoard - [2023]
• CSS3, InfosysSpringBoard - [2023]
• Database and SQL, InfosysSpringBoard - [2024]
• JavaScript, infosysSpringBoard - [2024]