Hi there, I'm Sheba.

About Me

Recently completed my Master's in Computational and Applied Mathematics at FAU Erlangen-Nürnberg. Passionate about leveraging data science to drive innovation.

Recent Posts

Master's Thesis

July, 2024

Master's Thesis: I submitted my Master's Thesis on Machine Learning for Intrusion Detection in cybersecurity as part of my graduate studies under Prof. Dr. Daniel Tenbrinck, Department of Mathematics, FAU.

Power BI Intrusion Detection Analysis

July, 2024

  • I conducted data analysis and visualized intrusion detection metrics using Power BI. The analysis focused on key performance indicators (KPIs) crucial for evaluating cybersecurity measures.
  • I developed and generated comprehensive reports and dashboards, providing insights through advanced data visualization and reporting techniques for cybersecurity strategies.

Women in Data Science (WiDS) Erlangen Conference 2024

June 20-21, 2024

Ambassador for (WiDS) Erlangen Conference 2024:
  • For the second consecutive time, I organized and hosted the Women in Data Science Conference at FAU's department of mathematics, representing WiDS global at Stanford University.
  • This year's conference took place on June 20-21, 2024, featuring keynote speakers from various institutions.

Women in Data Science (WiDS) Erlangen Conference 2023

April 20-21, 2023

Ambassador for (WiDS) Erlangen Conference 2023
  • I organized and hosted the Women in Data Science Conference at FAU's department of mathematics, representing WiDS global at Stanford University.
  • WiDS Erlangen conference took place on April 20-21, 2023, featuring keynote speakers from various institutions all over the world.

Bachelor Thesis

June, 2017

I presented my final thesis defense on Modeling the transporatation problem of a beverage firm, department of mathematics, Kwame Nkrumah University of Science and Technology, Ghana

Security of Machine Learning

Feb, 2022

I presented work on adversarial attacks in machine learning to understand various attack types and perturbations during a seminar colloquium.

Collaborated Team Projects

April, 2023

Transformers AI: Presented a talk on Transformers AI, explaining the mathematics of transformation and optimization techniques used.

Control and Machine Learning Optimization Techniques of ADAM, SGD, GD: Conducted comprehensive research on ML optimization techniques.