Pradeep Kuppireddy's Linkedin Analytics

Experienced Founder with a demonstrated history of working in the information technology and services industry. Skilled in Search Engine Optimization (SEO), Python (Programming Language), Business Advisory, HTML, and SQL. Strong business development professional with a Bachelor of Technology - BTech focused in Electrical, Electronics, and Communications Engineering from Kalasalingam University. --------Machine Learning------ • Below are some of the Machine Learning techniques that I worked on based on the ML categories (Supervised, unsupervised, and Reinforcement Learning) on basic Hands-on projects like the Home Price Prediction, Salary based on the different inputs (i.e., the department, experience, etc.), Iris Data, Digits Data and dealing of income data with Clustering ML techniques, etc. o Decision Tree o Support Vector Machine o Linear and Multivariant Regression o Logistic Regression o Random Forest Algorithm o Naïve Bayes Classification o K Means Clustering o K Nearest Neighbours o K Fold Cross Validation • I have Hand-on experience that worked on PowerBi which helps to generate the report for the “Space Mission” data set of the Online Maven Analytics challenge. In this report, I have provided a Storytelling on space mission dataset analysis. ------------SAP Knowledge on SAP BASIS domain--------- >Strong theory and practical work knowledge of SAP R/3 Architecture and client Administration as well. > Able to create the Client and Copy the User/client data as per the requirements. Able to maintain the Start/stop of an SAP system at both the System Level and OS level. > Setup of Transport Routes using SE06 and STMS T-codes. >Creating the Users and assigning the roles per the requirement and security demand using the Profile generator. Ability to analyze the Authorization failure by going the SU53 and maintaining/handling the Authority checks/indicators in SU24. That is the Authorization checks/ traces. >Able to monitor the SAP system as ABAP and gather the logs. > Strong technical knowledge of SAP note or SNote, Kernel upgrade, and support package(SPAM, SAINT). >knowledge of SAP performance monitoring. That is by system trace, Database level, operating system monitoring, and tune buffers ( runtime of a job/work of SAP system). > Working on Background jobs like How the Job gets scheduled and the status of the job, If the job gets canceled then reason/logs to analyze for canceling the Job. The Dump analysis/ABAP runtime of the terminated jobs. >Worked on Oracle SBP upgrade, Quick win parameter, OSS Backbone connectivity which is automation.