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Salman S.

@salmansayem504

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Data Scientist | Machine Learning Solutions

$10 USD / Time
・
Flag for
Bangladesh (3:17 PM)
・
Tilmeldt december 23, 2024
$10 USD / Time
・
Experienced Machine Learning Engineer with a strong foundation in designing and deploying advanced predictive models to solve real-world problems. Proficient in Python, TensorFlow, Scikit-learn, and other cutting-edge technologies for data analysis, model building, and optimization. Skilled in developing supervised and unsupervised algorithms, including regression, classification, clustering, and deep learning models. With expertise in feature engineering, data preprocessing, and model evaluation, I have successfully implemented scalable solutions for industries such as finance, healthcare, and e-commerce. Passionate about harnessing the power of data to drive actionable insights and innovative solutions. Strong communication and problem-solving skills, with a proven ability to collaborate across multidisciplinary teams and present technical concepts to non-technical stakeholders. Constantly learning new techniques and tools to stay at the forefront of the rapidly evolving machine learning landscape.
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Erfaring
Assistant Manager
nov., 2023 - Til stede
•
1 år, 1 måned
Suffix IT LTD
nov., 2023 - Til stede
•
1 år, 1 måned
As a Machine Learning Engineer, I specialize in designing, building, and deploying machine learning models to solve complex real-world problems. My role involves working with large datasets, developing predictive models, and optimizing algorithms to deliver actionable insights and scalable solutions.
Flag for
Dhaka, Bangladesh
nov., 2023 - Til stede
•
1 år, 1 måned
Uddannelse
University of Dhaka
2012 - 2016
•
4 år
Bachelor of Science in Electrical and Electronic Engineering (EEE)
Flag for
Bangladesh
2012 - 2016
•
4 år
Kvalifikationer
Machine Learning
2024
Creative IT LTD
The Machine Learning course certificate validates expertise in building, training, and deploying predictive models. It covers supervised learning (e.g., regression, classification), unsupervised learning (e.g., clustering, PCA), and deep learning (e.g., CNNs, RNNs). Key skills include data preprocessing, feature engineering, and model evaluation using metrics like precision and recall.
2024
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