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• Ten years of experience as a data scientist, including four as a senior.
• Engineering diploma from TPS (Tunisia Polytechnic School).
• MSc. in Mathematical Engineering from TPS. • Strongly motivated by building impactful and dependable products.
• Pragmatic innovator who thrives in a fast-paced, disciplined, and team-oriented environment.
• Able to work independently and as part of a team.
• Excellent problem-solving and analytical skills.
• Collaborative, proactive, disciplined, and fast.
• Bilingual in English and French. TECHNICAL SKILLS
• Time Series: EWMA, Exponential smoothing, ARIMA, SARIMA, LSTM, gradient boosting
• Machine Learning: Regression analysis, classification, neural networks, ensemble learning
• Data Preprocessing: Data cleaning, imputation, and transformation. Handling missing data and outliers
• Data Analysis: ETL, factor analysis, clustering analysis, sequence mining, data visualization
• Programming: Matlab, R, Python (pandas, NumPy, Plotly, scikit-learn, Keras, Streamlit)
• Software: Power BI, MS Office (Word, Excel, PowerPoint, Outlook)
• Databases: SQL, MySQL, Oracle
Data Science / Data Analysis
• Define and monitor key metrics; investigate changes in metrics and propose next steps.
• Design and analyze experiments and other tests for causal inference.
• Time Series Forecasting: Develop and implement advanced time series forecasting models to predict future trends, demand, and other relevant variables.
• Feature Engineering: Identify and engineer relevant features to improve the accuracy and performance of forecasting models. Incorporate domain knowledge to enhance feature selection.
• Model Development and Evaluation: Use appropriate evaluation metrics to build, train, and evaluate forecasting models. Select and fine-tune models to achieve optimal performance.
• Visualization and Reporting: Create clear and compelling visualizations, reports, and dashboards to effectively communicate forecasting results, optimization recommendations, and key insights to both technical and non-technical stakeholders. Algorithm design and specifications
• Develop custom features/algorithms that meet specific needs, including design, specifications, and testing.
• Design and evaluate experiments to measure the impact of given changes.
• Research and development of new algorithms.

Cover letter

Subject: Application for the Senior Data Scientist position at Zenni Optical

Dear Hiring Manager,

I am writing to express my enthusiasm for the Data Engineering Manager position at Zenni Optical, which I came across on LinkedIn. Zenni’s groundbreaking approach to making prescription eyewear accessible and its expansive global reach have caught my attention. I am particularly interested in contributing to Zenni’s data-driven effort across Marketing, CRM, and Customer Service domains. With over ten years of hands-on experience in data science and machine learning, four of which in a senior role, I have honed my expertise in data-driven business optimization and predictive modeling. My strengths align closely with Zenni’s emphasis on a strong tech background, cross-functional collaboration, and business decision optimization.

My journey in the industry began with Integration Objects, where I designed data analysis software solutions tailored for the oil and gas sector. This software empowered clients to harness their data through machine learning algorithms, business intelligence tools, reports, and dashboards. I also had the privilege of training clients in predictive and prescriptive analytics, aiding them in making informed business decisions.

Subsequently, I collaborated with Infor, a key figure in the enterprise software landscape. There, I developed data and statistical models for a decision support application within the hospitality sector. This role not only honed my technical prowess but also introduced me to the agile methodology, underscored the essence of team synergy, and provided opportunities to mentor younger professionals.

Upon relocating to Canada, I worked as a data scientist at VectoSolv, a startup developing warranty management systems. My contributions included prototyping decision support tools for the automotive industry’s warranty claims adjudication. I take particular pride in pioneering a unique visualization method for analyzing operation bundling in car repair orders and crafting an innovative graph-based unsupervised labeling algorithm for car labor tasks. In addition to leveling up my technical skills, this role also provided me with invaluable insights into the North American business landscape.

I am keen to contribute my skills in machine learning, predictive modeling, and data analytics to Zenni’s mission. I am motivated by the chance to work in a dynamic, research-oriented group and to bring impactful data solutions to different parts of the organization. The prospect of making a real impact at Zenni, alongside smart, dedicated, and mission-driven professionals, excites me. I am available for an interview at your earliest convenience to discuss my application in further detail.

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