Sheeza Batool

I am a highly motivated and dedicated MPhil student seeking real-world experience in

Computer Science, with a focus on Deep Learning (DL) and Machine Learning (ML). My MPhil thesis, "Deep Learning Approaches for Human Activity Analysis using Wearable Devices,"

demonstrates my passion for applying DL techniques to complex problems. I have implemented a hybrid LSTM-GRU model using two time series-based HAR datasets that achieves state-of-the-art accuracy.

In addition to my thesis, I have worked on projects like a Handwritten Flow Chart Generator and a

Human Emotion Recognition using CNN. Throughout my academic journey, I have gained proficiency in various programming languages, such as C++, C#, Java, and Python, and possess strong data analysis skills, including data preprocessing, and feature engineering. My experience with diverse machine learning and deep learning algorithms and frameworks, such as CNNs, LSTMs, GRUs, and

RNNs, has enabled me to work with various data types, including time series data, image data, and video data, to develop innovative and effective ML solutions.

I possess strong leadership, communication skills, and a diligent work ethic. Please find my resume attached and consider my application for a rewarding opportunity in the field of Computer Science

(DL, ML).

Sincerely,

Sheeza Batool