Pavithra Devi M
About Pavithra Devi M
Pavithra Devi M is a Software Engineer with a background in computer science and a strong skill set in machine learning frameworks. She has worked at various organizations, including Microsoft and Sandvine, and has achieved recognition as a Kaggle Notebook Master.
Work at Sandvine
Currently, Pavithra Devi M serves as a Software Engineer at Sandvine, a role she has held since 2021. Based in Bengaluru, Karnataka, India, she contributes to the development and implementation of software solutions within the organization. Her experience in this position spans three years, during which she has applied her skills in software engineering to support Sandvine's objectives.
Previous Experience in Software Engineering
Pavithra has a diverse background in software engineering, having worked at several organizations prior to her current role. She was a Campus Ninja at Coding Ninjas India for four months in 2020, where she engaged with students in coding practices. Additionally, she served as a Fellow at Alphaa AI for one month in 2020. Her experience also includes a two-month tenure as a Microsoft Azure ML scholar in Tamil Nadu, India, and participation as a contributor in HakinCodes' Hack 2020 for one month.
Education and Expertise
Pavithra completed her higher secondary education at Devangar Girls Higher Secondary School, achieving a 99% score from 2010 to 2015. She then pursued a degree in Computer Science Engineering at Anna University BIT Campus, graduating in 2021 with a score of 8.5. Her educational background is complemented by a strong foundation in machine learning frameworks, including TensorFlow, Scikit-learn, Pandas, and Numpy.
Skills and Competencies
Pavithra possesses a robust skill set in data manipulation and machine learning, demonstrated by her proficiency in various frameworks. She exhibits adaptability and a quick learning ability, which are essential for tackling complex software engineering tasks. Furthermore, she has a proactive learning approach, consistently updating her skills in machine learning algorithms and data structures. Her expertise is recognized through her achievement as a Kaggle Notebook Master, highlighting her capabilities in data analysis and machine learning.
Academic Achievements
During her academic career, Pavithra demonstrated exceptional performance, particularly in her higher secondary education at Devangar Girls Higher Secondary School. She achieved a remarkable 99% score over five years. In her subsequent studies at Anna University BIT Campus, she earned a score of 8.5 in Computer Science Engineering, reflecting her strong academic foundation in the field.