Welcome to my portfolio! I am a data Scientist with a passion for uncovering insights and solving complex problems through data-driven approaches. With years of experience in the field, I have developed a deep understanding of various tools and techniques used to manipulate, analyze, and visualize data.
My work is driven by a curiosity to explore data and find meaningful patterns and trends. I have a strong foundation in statistics and machine learning, and I am proficient in using programming languages such as Python, R, and SQL. I am also skilled in data visualization and dashboard development, with experience in tools such as PowerBI, Tableau, and Excel.
I have worked on a variety of projects, ranging from predictive modeling to process improvement. Through my work, I have gained valuable experience in data collection, cleansing, and transformation, as well as project management and communication. I am dedicated to delivering high-quality work and collaborating with others to achieve shared goals.
I am a skilled data professional with expertise in a range of powerful tools and technologies. My technical skills include proficiency in Python, Excel, PowerBi, Tableau, SQL, and SAS, as well as experience in data cleaning, preprocessing, and transformation.I have experience in creating dashboards, reports, and visualizations that help stakeholders understand complex data insights and trends, and can provide training and support to teams seeking to improve their data analytics capabilities.
I have also a considerable experience in data collection and extraction, statistical modeling, and machine learning. As a data analyst, I am passionate about leveraging these skills to help organizations make data-driven decision making and achieve their goals.
With expertise in Python (using libraries such as Pandas and NumPy) and Excel (including Power Query, Power Pivot, and VBA), I am capable of performing data cleaning, wrangling, and transformation to generate insights and drive decision-making. I also have experience using SQL to query and manipulate databases.
My proficiency in Power BI and Tableau enables me to create interactive dashboards and engaging visualizations that effectively communicate complex data insights. I am also adept at using Python (with libraries such as Matplotlib and Seaborn) and Excel to create insightful charts and graphs.
With in-depth knowledge of machine learning algorithms and tools such as scikit-learn, Keras, and TensorFlow, I can build predictive models that enable accurate forecasting and classification. I also have experience with Hyperparameter tuning using Optuna and data preprocessing.
My strong foundation in statistical theory and practical applications, coupled with my proficiency in tools such as Python, SAS, and SPSS, allows me to perform complex statistical analyses, including hypothesis testing, regression analysis, and ANOVA.
With proficiency in using SQL, Access and other database management systems, with added proficiency in VBA macros and user forms to automate data collection processes. This allows me to extract and transform large volumes of data from databases for analysis.
I specialize in solving real-world business problems using data-driven approaches. My expertise spans the entire data lifecycle, from collecting and analyzing data to presenting insights through effective visualization.
This section showcases my professional experience, skills, and accomplishments in the fields of data analysis, statistics, and machine learning. Here, you will find examples of my work, including projects, reports, codes, and visualizations.
As a data science intern at AOPS Conseil, I participate in the creation of an observatory for supplementary social protection for a professional branch. My responsibilities include analyzing and cleaning large datasets from various sources to ensure their quality and integrity. I develop predictive models using machine learning algorithms for specific applications, assist in the design and implementation of machine learning algorithms for classification, prediction, or recommendation, and implement data preprocessing methods such as normalization, dimensionality reduction, and outlier handling. Through my work, I contribute to significant projects that enhance data-driven decision-making and optimize various processes.
As a data analyst at Snax spa, I leveraged my analytical skills to extract insights and identify trends that informed decision-making processes across various departments. My responsibilities included developing and maintaining complex data models, performing in-depth statistical analyses, and presenting findings in clear and concise reports. I was also responsible for collecting and extracting relevant data from various sources, developing performance dashboards and KPIs, and automating workflows. Through my work, I successfully delivered impactful insights that helped drive business success and improve production efficiency.
During my junior data science internship at this telecom operator, my primary project was to develop a customer churn prediction model. This involved collecting and analyzing data, identifying key factors that contribute to customer churn, and creating a predictive model that accurately forecasted churn rates. Based on my findings, I provided recommendations for reducing churn rates and improving customer retention. Through this internship, I gained valuable experience in data analysis, predictive modeling, and providing actionable insights to support business decisions.
Currently enrolled in the Master's program (TIDE), I am dedicated to honing my expertise in the fields of statistical analysis and data mining. This program is designed to foster the development of high-level specialists equipped with advanced skills and knowledge in extracting valuable insights from data. My pursuit of this academic journey is driven by a strong commitment to excel in the ever-evolving landscape of data science and to contribute meaningfully to the industry's continuous growth and innovation.
I obtained my degree of Engineering in Planning and Statistics as a part of a post degree program where I submitted a study aboout recommender systems and their applications on ecommerce.
obtained a Master's Degree in Applied Statistics through a rigorous 5-year program, which provided me with advanced skills in statistical analysis, data modeling, and machine learning. Throughout my program, I worked with complex datasets and learned how to apply statistical techniques to real-world problems. I gained expertise in various statistical software and programming languages, as well as practical skills in data visualization, probability theory, and predictive modeling. Overall, my Master's Degree in Applied Statistics has provided me with a solid foundation for pursuing a career in data analysis, modeling, and consulting.
If you want to reach out to me, fill out the form with your name, email, subject, and message, and I will get back to you as soon as possible.
Paris,
France
ammiyacine16@gmail.com
Mobile: (+33) 753 897949