MAHA KAPIREDDY

Dedicated student with a solid foundation in theoretical knowledge, poised to leverage academic learning in practical environments. Strong communicator and collaborator, committed to delivering innovative solutions and fostering teamwork. Adept at time management and organization, prepared to optimize productivity in diverse settings. Actively seeking entry-level opportunities to drive personal growth while contributing positively to organizational goals.

• AWS Certified Solutions Architect - Associate
• Cybersecurity Essentials (CISCO Networking Academy)
• Problem Solving Through Programming in C (NPTEL)
• The Joy Of Computing Using Python (NPTEL)

Digital forensic investigation of firearms robbery

Conducted a digital forensic investigation to assist law enforcement in solving a firearms robbery case, analyzed digital evidence from a suspect's laptop and mobile phone to identify possible accomplices, and investigated text messages, emails, and browsing history for potential leads 

Skills: Autopsy, FTK Imager, and Access Data Registry Viewer, digital forensics, evidence analysis, data recovery, investigative reporting

Image based plant disease prediction

This project presents plant disease detection using image processing algorithms and computer vision. It detects diseases on the leaves of plants and recommends pesticides and fertilizers according to the type of disease to the farmer

Sales prediction for large sale marts

Machine learning models are used to predict and analyze sales. Decision tree algorithm and XGBoost are used because they give more accuracy and fewer errors than other algorithms.