Machine Learning Software Engineering

Tanisha Sikder

****************@*****.*** https://www.linkedin.com/in/tanisha-sikder-a415732a4/

Education

Miami University, Oxford – Bachelor of Science in Software Engineering Class of 2026 Intro to Artificial Intelligence, Machine Learning, Web Application Programming, Intro to Statistical Modeling, Algorithms, Software Requirements, Introduction to Systems Programming, Intro to Software Engineering

Coursera – Machine Learning Engineering Specialization, DeepLearning.AI TensorFlow Developer Certificate Linear Regression, Logistic Regression, Evaluation Metrics, Vectorization, TensorFlow, Convolutional Neural Networks, Computer Vision

Hugging Face – Large Language Model Course

Covered transformer architecture, attention mechanisms, encoder-decoder models, and practical use of LLMs via Hugging Face tools.

ZyBooks – Machine Learning Course

Reinforced foundational ML concepts, including supervised learning, model training, data preprocessing, and performance metrics.

Skills

Programming Languages: Java, Python, C++, SQL, HTML, CSS, JavaScript, R Concepts: PyTorch, TensorFlow, Machine Learning Algorithms, Artificial Intelligence Algorithms, Neural Networks, Large Language Models, Web Applications Development, Computer Vision Experience

Computer Science Founder and Tutor, Free Compsci Tutoring – Remote freecompscitutoring.org

● Founded and maintained an online platform offering free CS tutoring to beginners.

● Designed and delivered beginner-to-intermediate lessons in Java, C++, and SQL.

● Created structured learning paths, reinforcing both my students’ growth and my own teaching, communication, and technical skills.

Software Beta Tester, CompSciLib – Remote August 2023 – December 2023

● Collaborated with a dev team to test and debug a web-based learning platform for CS students.

● Identified and reported 18+ bugs across practice modules, AI tools, and core learning features.

● Contributed feedback that improved discrete math, linear algebra, and computer organization learning modules.

Projects

Insurance Prediction https://github.com/tanishasikder/Machine-Learning

● Prediction and modeling insurance costs based on characteristics. Involves data cleaning, one-hot encoding, KFold Cross Validation, Linear regression, Random Forest Regressor, XGB Regressor, and regression metrics. Handwriting Classifier

https://github.com/tanishasikder/Handwriting-Classifier

● Uses PyTorch to train a neural network to recognize and classify handwritten digits from images. Organizations

Girls Who Code, Miami University September 2024 – Present

● Volunteered to teach 5th- 12th graders about computer science, web development, and artificial intelligence.

● Taught about the importance of a community that supports women in technology.

● The goal was to inspire and educate to close the gender gap in technology.

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