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Avatari i PĂ«rdoruesit
$8 USD / orë
Flamuri i UGANDA
wakiso, uganda
$8 USD / orë
Aktualisht është 4:04 p.d. këtu
U bashkua gusht 11, 2018
0 Rekomandime

Alvin B.

@kimbowaalvin

5,0 (2 përshtypje)
1,6
1,6
100%
100%
$8 USD / orë
Flamuri i UGANDA
wakiso, uganda
$8 USD / orë
100%
Punët e Plotësuara
100%
Brenda Buxhetit
100%
Në Kohë
100%
Shpeshtësia e Rimarrjes në Punë

AI engineer | Database Management | Data Analysis

Passionate about artificial intelligence, machine learning, deep learning, data analysis, and database management. ----------------------------------------------------------------- Languages - Python, HTML, CSS, MATLAB, JavaScript, SQL Frameworks - Django, PyQt Skills - Problem-solving, critical thinking, eye to detail, result-oriented, debugging.

Kontaktoni Alvin B. për punën tuaj

Identifikohu për të diskutuar çdo detaj gjatë bisedës.

Portofol

10035227
10035170
10035227
10035170

Vlerësimet

Ndryshimet u ruajtën
Duke shfaqur 1 - 2 nga 2 përshtypje
Filtroni vlerësimet sipas:
5,0
$30,00 USD
Excellent output - very satisfied
Python
AI (Artificial Intelligence) HW/SW
Data Analysis
Deep Learning
+1 më shumë
Avatari i PĂ«rdoruesit
Flamuri i Md Mehedi H.
@kingqueen369
•
2 years ago
5,0
$30,00 USD
Agreed to work within short notice and delivered the work.
PHP
Python
Excel
C# Programming
Software Architecture
Avatari i PĂ«rdoruesit
Flamuri i Md Mehedi H.
@kingqueen369
•
2 years ago

PĂ«rvoja

Intern

MARCONI Machine Learning Laboratory - Makerere University
mar 2022 - E tashme
Collected, cleaned, analyzed, and visualized time-series data from solar PV systems. Developing, training, and validating machine learning-based power output prediction models for a solar PV mini-grid in Keras and TensorFlow. Simulating a solar PV minigrid in MATLAB. Designing a dashboard that displays the meteorological data including; ambient temperature, and solar irradiance.

Undergraduate Research Assistant

Optimal Design Laboratory - University of Michigan
sht 2021 - E tashme
Member of a virtual team that is developing, debugging and improving an Integrated Natural Resource Conservation and Development (INRCD) system in MATLAB. This system will aid farmers in decision-making on how to efficiently maximize profit. Installed a weather station in Mubende, Uganda to collect weather data for area under study. Cleaned, analyzed and visualized the data using MATLAB.

Undergraduate Research Assistant

Computer Aided Detections and Interventions Laboratory - Makerere University
gush 2020 - E tashme
Developing a machine learning algorithm that automatically screens for prostate cancer from multiparametric MRI sequences. Developed a time-aware deep neural network for needle localization in 2D ultrasound. Carried out medical image analysis using MATLAB. This included image subtraction and fusion. Co-authored a research paper on needle localization in 2D ultrasound which was published in the International Journal of Computer Assited Radiology and Surgery.

Arsimi

Bachelor of Science in Electrical Engineering

Makerere University, Uganda 2018 - 2022
(4 years)

Kualifikimet

Communication Strategies for a Virtual Age

University of Toronto
2020
Learned how to work in virtual teams and virtual collaboration. Gained skills in virtual communication, and how to run effective virtual meetings. Learned how to speak and present in a virtual context.

Deep Learning Specialization

DeepLearning.AI
2020
Tackled real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. Built network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learned how to make them better with strategies such as Dropout, BatchNorm, and Xavier/He initialization.

Machine Learning Specialization

University of Washington
2020
Gained applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. Learned to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Botime

Time-aware deep neural networks for needle tip localization in 2D ultrasound

Springer
Accurate placement of the needle is critical in interventions like biopsies and regional anesthesia, where incorrect needle insertion can lead to procedure failure and complications. Ultrasound guidance is widely used to improve needle placement accuracy. However, at steep and deep insertions, the visibility of the needle is lost. Computational methods for automatic needle tip localization could improve the clinical success rate in these scenarios. https://doi.org/10.1007/s11548-021-02361-w

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