HARSHIT BABU JONNALAGADDA

Results-oriented Software Engineer with expertise in application development and project management. Proven track record of delivering high-quality solutions on time and within scope. Adept at transforming conceptual ideas into successful, scalable software applications. Strong communicator with a commitment to staying current on emerging technologies.

• Twitter Sentiment Analysis by Ordinal Regression: The most accurate algorithms utilized for conducting sentiment analysis include Support Vector Regression, Decision Trees, Random Forest Logistic Regression, and Convolutional Neural Networks
• Simplified Secure Socket Layer: The secure socket layer (SSL) can be conceptualized as a dual set of sockets that facilitate communication between a server and a client
• The SSL ensures that the transmission of data over the network socket is safeguarded
• Secure Election: An election voting system was developed that incorporates encryption and decryption functionalities to ensure the security of information and prevent data breaches
• Customer Churn Prediction: The prediction of customer churn
• The objective of the ML project is to construct a prognostic model capable of discerning clients who exhibit a propensity to discontinue their patronage of a company's offerings
• The model employs diverse machine learning algorithms and techniques.

https://www.linkedin.com/in/harshit-j-4b0ab7125/

• Artificial Intelligence for Everyone
• Python For Everybody
• Cloud Computing Basics (Cloud 101)
• Machine Learning Algorithms, Supervised Learning Tip to Tail
• Cryptography
• Introduction to HTML5
• Introduction to Applied Machine Learning
• Image Data Augmentation with Keras.