Shalini T.

I hold a Master of Science in Mathematics from the Indian Institute of Technology Kharagpur, where I graduated with a GPA of 7.01/10. My academic training covered a wide range of mathematical disciplines, including Linear Algebra, Differential Equations, Partial Differential Equations, Probability and Statistics, Optimization Techniques, and Integral Equations. Additionally, I earned a Bachelor of Science in Mathematics from C.S.J.M. University, where I achieved a percentage of 66%.

My professional and academic projects reflect my strong mathematical background. During my M.Sc. program, I undertook significant projects such as:

The Fine Spectra of the Hölder Summability Operators: This project aimed to present the fine spectrum of summability operators within the Banach space of continuous linear operators.
On Certain Generalized Weighted Mean Fractional Difference: In this project, I introduced concepts of Δα-lacunary statistical convergence and established connections between different convergence types, showcasing my understanding of advanced mathematical theories.
Professionally, I have applied my mathematical expertise in various roles:

Member Technical Staff at Leapfrog Semiconductors: I contributed to a 5G project using mathematical principles in C++, Assembly language, and Matlab, focusing on function approximation and kernel instructions.
Developer C++ at Sapiens: My role involves leading the development of the core suite product, where I employ mathematical algorithms and optimization techniques to enhance software performance and reliability.
In addition to my formal education, I secured All India Rank (AIR) 568 in GATE Mathematics (2018) and AIR 161 in IIT JAM (2015), highlighting my competitive excellence in mathematics. I was also selected for the INSPIRE SCHOLARSHIP and LIC Golden Jubilee Scholarship in 2012, recognizing my academic achievements in mathematics.

My mathematical skills are further complemented by certifications in machine learning and deep learning, such as the Deep Learning Specialization by Andrew Ng on Coursera and AWS Machine Learning. These certifications enable me to apply mathematical concepts to solve complex problems in data science and artificial intelligence.

Overall, my background and experience demonstrate a robust foundation in mathematics, both in theory and practical application, making me well-equipped to tackle a wide range of mathematical and computational challenges.