Omar BEN FADHEL

Support daily IS operations, including data cleaning, integration, and visualization to enhance data reliability and accessibility. Manage and document SQL Server and MySQL databases, ensuring data quality, consistency, and proper normalization. Build and maintain operational dashboards and reports using Excel, Power BI, and HubSpot to support strategic decision-making. Collaborate with internal teams to identify system needs and contribute to the integration and rollout of new digital tools and platforms. Provide support and improvements for ERP and CRM systems (ZOHO ERP, HubSpot), ensuring data accuracy and assisting end users. Contribute to project tracking and documentation using Trello and MS Project. Maintain internal communication tools (Teams, Slack, Zoom) and deliver first-level technical support to staff. Participate in system audits and ensure compliance with information security policies and best practices.

• Designed and implemented predictive models to forecast employee turnover using logistic regression and decision trees. • Conducted exploratory data analysis (EDA) on internal HR datasets to identify patterns related to absenteeism, performance, and retention. • Developed dashboards in Power BI to monitor workforce KPIs, including attrition rates, training effectiveness, and recruitment funnels. • Presented actionable insights to HR management, supporting data-driven decisions in workforce planning and employee engagement.

• Built an econometric model analyzing the relationship between market risk and inflation volatility. • Conducted an empirical analysis on the relationship between financial stress and inflation volatility in Tunisia using macro-financial data from 2000–2024. • Conducted time series forecasting, stationarity tests (ADF, KPSS), and correlation analysis. • Developed and compared econometric models including OLS, ARDL, and GARCH-X, integrating diagnostics (PACF, residuals, volatility clustering) to assess model fit and volatility persistence. • Built a customized Financial Stress Index (FSI) using market-based indicators (Tunindex returns, exchange rate spreads, interbank rates) and assessed its macroeconomic transmission mechanisms. • Applied conditional heteroskedasticity models to quantify time-varying risk dynamics and identify systemic stress episodes (e.g., 2011 revolution, COVID-19 shock). • Derived policy recommendations for the Central Bank of Tunisia to improve inflation targeting frameworks and crisis anticipation mechanisms.

. Analyzed Shopify e-commerce data to identify business trends and forecast key performance metrics, enabling data-driven decision making for product strategy and inventory management . Built and maintained comprehensive Power BI dashboards to visualize sales performance, customer behavior patterns, and website traffic metrics • Calculated and managed ROI metrics for marketing campaigns, resulting in 15% improvement in ad spend efficiency . Optimized Google Ads performance through data analysis, A/B testing, and strategic keyword optimization . Conducted cohort analysis to understand customer retention patterns and lifetime value, identifying opportunities to increase repeat purchases . Collaborated with marketing team to develop data-backed strategies for customer acquisition and retention . Utilized Python for data cleaning, transformation, and predictive modeling of sales forecasts

• Implemented a custom Enterprise Resource Planning (ERP) system to streamline business operations across specific departments (finance, HR, inventory management). • Provided hands-on training and coaching to a cross-functional team of 8 employees, ensuring smooth adoption and effective use of the ERP system • Cleaned and organized the company's data to better implement it in a Business Intelligence Model and insuring 50% more effectiveness and efficiency. • Cleaned and prepared the data using Python ( Pandas, Numpy...) for data analysis. • Creating interactive Sales, Marketing, HR, and Inventory dashboards using Tableau. • Developing an AI, and implementing a Machine Learning model for the revolutionary SapoCircle machine to recognize the different ingredient and their amount to use in the production process ensuring 30% more efficiency. • Developing an interactive and user friendly dashboards for the SapoCircle app that provides real time, and up to date insights about the device.

Extracted valuable datasets using Selenium, Scrapy, Pandas, and Requests. • Designed ETL workflows using Talend to clean and preprocess over 10 datasets weekly, ensuring better accuracy. • Ensured data accuracy and readiness for analysis, significantly reducing data-related errors in reports. • Managed large-scale dataset pipelines related to international product data, with attention to accuracy, structure, and deadline-sensitive reporting.

• Managed targeted customer outreach via email, increasing response rates with design-driven content. • Scraped and validated email-contacts for customer acquisition, reducing error rate.

Conducted detailed market and regulatory research across diverse sectors, collecting and organizing insights from surveys and interviews. • Delivered concise, actionable summaries used in internal strategy discussions. • Maintained accurate records of data collection, ensuring timely and organized submission.

• Interpreted 20+ accounting reports daily and analyzed them for future financial decisions using Microsoft Excel. • Delivered 60% modified reports of projects' accounting analysis.