Machine Learning, Computer Vision

Elsie Eyram Anthonio

*** ***** **., ***** **********, VT 05403 *************@*****.*** +1-571-***-**** LinkedIn Educational Background

1. University of Vermont, Burlington, Vermont, USA Aug 2023 – PRESENT Master of Science in Electrical Engineering

Relevant Coursework: Advanced Machine learning, Digital Signal Processing (Audio and Image Processing), System Theory, Stochastic Processes, Autonomy

2. Kwame Nkrumah University of Science and Technology, Ghana Aug 2018 – Sept 2022 Bachelor of Science in Electrical/Electronic Engineering Relevant Coursework: Probability and Statistics, Calculus with Analysis, C Programming Relevant Project Experience

End-to-end object detection in images: comparing EfficientDet and DETR July 2024

• Developed and trained a transformer-based model and EfficientDet object detection models. Compared and evaluated using mean Average Precision (mAP).

• Tools Used: Transformers, EfficientNet, PyTorch, PyCOCO, Albumentations, opencv, StratifiedKFold Audio Sentiment Inference: Emotion Classification using Deep learning

(Convolutional Neural Network - CNN)

May 2024

• Developed and trained a CNN, exploring feature extraction and spectrograms for model building acheiving 89.88% accuracy.

• Tools Used: Librosa, PyTorch, TensorFlow, matplotlib, Scikit-learn, Seaborn, opencv Bank Customer Churn prediction Feb 2024

• Leveraged machine learning algorithms, including Regression, Support Vector Machines (SVM), Decision Tree, Random Forest, K-means Clustering, and boosting algorithms (GBM, XGBoost, LightGBM, CatBoost with hyperparameter tuning), to predict customers likely to leave a bank. Obtained an accuracy of 89.7%.

• Tools Used: XGBoost, Keras, Scikit-learn

Pattern Recognition analysis for Smoker Status Prediction Dec 2023

• Utilized machine learning algorithms to predict smoker status using bio-signal data.

• Tools Used: Keras, XGBoost, Scikit-learn

Additional Work Experience

Strategy and RF Optimization Analyst, Telecel Ghana. Nov 2022 - July 2023

• Analyzed telecommunication network capacity utilization to ensure optimal performance leading to a 20% improvement in resource allocation efficiency.

• Ran queries, cleaned data, and created visualizations to derive actionable insights from system data.

• Assessed Key Performance Indicators (KPIs), resulting in a 25% increase in overall network performance. Workshops

Mathematical Problems in Industry Workshop by SIAM (Society for Industrial and Applied Mathematics), 2024. Topic: Reduced Noise and Ringing for Image Processing. Machine Learning Certifications

• Advanced SQL, Kaggle

• Computer Vision, Kaggle

• Feature Engineering, Kaggle

• Data Visualization, Kaggle

• Introduction to Deep Learning,

Kaggle

Skills

• Python, SQL, MATLAB, C Programming, Latex

• Git/Github, Microsoft Excel, Word, PowerPoint

• Semantic Segmentation, Mathematical modelling, and Statistical/Data Analysis.

• Operating Systems: Linux, Windows.

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