
ines gahlouzi
تكنولوجيا / إنترنت
عن ines gahlouzi:
I am a highly motivated and passionate Data Scientist with experience in developing machine learning models, data analysis, and visualization. My technical skills include programming languages such as Python, R, Scala, C++, and SQL, along with libraries such as Pandas, NumPy, Scikit-Learn, SciPy, Matplotlib, Keras, PyTorch, TensorFlow, Flask, Django, and Pyspark.
With an Engineering's degree in Data Engineering and Decisional Systems, I have gained experience working with big data technologies such as Spark, Hadoop, and MongoDB. I have also worked with various data visualization tools, including Tableau, Power BI, Cumul.io, Explo, and Metabase.
الخبرة
My experience as a Data Scientist includes managing and maintaining data quality for clients, utilizing R to provide statistical insights, collaborating with DataOps and Data Engineering teams to resolve production issues, and creating interactive and actionable visualizations using Power BI and Tableau.
I have experience in building machine learning models and developing web applications usable for non-tech employees. My experience includes developing image classification models in Tensorflow, leading a team of data science interns, building solutions using ML to tell the weight of items, and performing exploratory data analysis on large datasets.
In my free time, I work on various data science projects, including building a Spam SMS Classifier, Fake News detection using the PassiveAggressive Classifier, a ChatBot using NlTK and NLP techniques, and a Paraphrasing web app using the transformer Pegasus model and NLP techniques.
I am a Microsoft Certified Azure AI Fundamentals and Azure Data Fundamentals and have a Professional proficiency in English, scoring 905 on the TOEIC test. I am excited to join a team of like-minded individuals and contribute to the development of innovative data-driven solutions.
التعليم
With an Engineering's degree in Data Engineering and Decisional Systems, I have gained experience working with big data technologies such as Spark, Hadoop, and MongoDB. I have also worked with various data visualization tools, including Tableau, Power BI, Cumul.io, Explo, and Metabase.