KAMATALA PAVAN KUMAR

A passionate and driven Data Scientist with a comprehensive educational background in Electrical and Electronics Engineering to pursue my career in an organization with performance-oriented environment for achievement of personal advancement. Being ambitious and hardworking, I am looking forward to challenge my potential and be worthy of management trust and confidence.

• Achieved A-grade from ExcelR Solutions for the course completion in fundamentals of data science, machine learning, Python, R, MySQL, and Tableau.
• Secured a certificate as a Data Science Intern at Ai Variant.
• Secured a certificate with grade “A+” with an aggregate of 79% in DIPLOMA IN OFFICE AUTOMATION and C PROGRAMMING.
• Received real time embedded system internship certificate with A grade.

Energy Production Project

• Create a predictive model to optimize energy generation in a combined-cycle power plant by analyzing the effects of exhaust vacuum and ambient variables, thereby improving efficiency and performance.

Resume Classification Project

• The Resume Classification project effectively streamlined resume processing, improving accuracy and efficiency in candidate evaluation through advanced machine learning techniques.

Customer Segmentation Project

• The Customer Segmentation project successfully identified distinct customer groups, enabling targeted marketing and improved business strategies through advanced machine learning techniques.

Temperature Based Fan Control (Mini Project)

• A temperature sensor has been used to measure the temperature of the room and the speed of the fan is varied according to the room temperature. The duty cycle is varied from 0 to 100 to control the fan speed depending upon the room temperature, which is displayed on Liquid Crystal Display.

Underground cable fault detection (Main Project)

• Underground cables have been widely used with the development of power system grid .Underground cables are prone to a wide variety of faults due to underground conditions, wear and tear, rodents. Detecting fault source is difficult because entire line is to be dug in order to check fault at cable line. The repairmen know exactly which part has fault and only that area is to be dug to detect the fault source. Thus it saves a lot of time, money and allows to service underground cable lines faster. The aim of this project is to determine the distance of underground cable fault from base station in Km.

Clap switch 

• A Clap Switch circuit uses a microphone within the circuit to detect noises to turn the LED on. A clap switch circuit can be used in homes and businesses to turn on things such as: lights, TVs, or whatever it is set up to the clap switch. In many cases you can snap your fingers, clap your hands, or even speak to it.