Adept Validation Engineer with a robust background in Python programming and a proven track record at Software Valid/Verif, specializing in IPU development and validation. Demonstrates expertise in automating tasks, enhancing software systems, and worked in PowerManagament & Power n Performance domains. Excels in problem-solving and debugging, leveraging skills in Linux and Python. Renowned for meticulous attention to detail and a proactive approach to overcoming challenges.
IPU_Development:-
IPU_Validation:-
1)Reset
2)SST
3) Power & Performance
4)Thermal
5)Psys
6)Peci
PnP (Power & Performance):
Spam Detection, The theme of this project is to detect whether a credit card transaction is fraudulent or not based on generalized credit card use cases. Tried few machine learning algorithms and found out Decision Tree as the best approach based on our input data and our model attained 96% accuracy. Digitalization of Handwritten Character Recognition using Neural Networks, An attempt is made to recognize handwritten character for English alphabets without feature extraction using multilayer feed forward Neural Network.
LinkedIn :-https://www.linkedin.com/in/anjani-nookambica-chitluri-a755a11a7?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app