Taha Sherif
Angestellt, Data Analyst, Open Group
TOULOUSE, Frankreich
Über mich
I am a lifelong learner driven by curiosity and a passion for integrating diverse algorithms and methods of Artificial Intelligence to find solutions to problems that matter to people and their communities. As a highly motivated and passionate Machine Learning Engineer, I aim to use my talents in AI, Deep Learning and statistical analysis to solve real-world problems and make the customer achieve more. Always give the best in what you believe in, always learning something from others and transmitting something of their own to others, but always with the common goal of achieving the best result. Believe in the power of networking, that’s why I am a LinkedIn member. Please feel free to connect with me. Mail : tahaasheerif@gmail.com
Werdegang
Berufserfahrung von Taha Sherif
Bis heute 1 Jahr und 6 Monate, seit Dez. 2022
Data Analyst
Open Group
3 Monate, Aug. 2022 - Okt. 2022
Software Data Engineer
Be-softilys
7 Monate, Jan. 2022 - Juli 2022
Software Data Engineer
Vneuron
7 Monate, Mai 2021 - Nov. 2021
Machine Learning Engineer
Mitacs
Valuation of sales data of a Quebec SME - Recommender system • Data exploration and visualization • Clients and products Categorization • Deep learning based recommender system • Technologies: Python, Machine Learning, Deep learning, DNN, ANN, MBA, RFM
2 Jahre und 2 Monate, Juni 2019 - Juli 2021
Machine Learning Engineer
Breakpoint Technology
Smart OCR for resume parsing • Collect resumes templates using web scrapping • Use object detection to extract different blocks in a resume • Use OCR and NLP to extract relevant information • Deployment using Flask • Technologies: Web scrapping, Deep Learning, CNN OpenCV, YOLOV4, OCR, NLP, Git, Bitbucket, Flask
2 Monate, Aug. 2019 - Sep. 2019
Machine Learning Intern
GRJ Immigration
Online Retail Case • Exploratory Data Analysis (EDA) • Market Basket Analysis • Building a recommendation system • Deployment using Google Cloud Engine • Technologies : Matplotlib, Scikit-learn, Pandas, Seaborn, Apriori Algorithm, Django
2 Monate, Aug. 2018 - Sep. 2018
Machine Learning Intern
Tunisian Chimical Group
Anomalie detection in a computer network using SVM algorithm. Tasks : • Cleaning and organising data (Data Preprocessing) • Construction of classification algorithms (SVM) • Presenting informations using data visualization technologies • Running machine learning tests Technologies : Scikit-learn, Pandas, Seaborn, Statistics
Sprachen
Englisch
Fließend
Französisch
Fließend