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Data Analyst | Business Analyst

Tunis, Tunisia | ([téléphone] | [e-mail] | LinkedIn

PROFESSIONAL SUMMARY

Dynamic and analytically-driven professional with 2+ years of experience in business analysis and data science, skilled in Python, SQL, and machine learning, with a passion for transforming complex data into actionable business insights and driving strategic decision-making.

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Power BI Dashboards • SQL Querying & Data Mining • Product Analytics • Data Modeling • EDA • Segmentation & Trend

Analysis • Stakeholder Training & Data Literacy • Requirements Gathering • Report Design & Automation • Cross-functional

Collaboration • Anomaly Detection • Python • Predictive Analytics • Data Quality & Governance

WORK EXPERIENCE

Business Analyst | iMaxeam · Aug 2024 – Aug 2025

Sousse, Tunisia | IBM Maximo / Enterprise Asset Management

• Analyzed client business requirements across 4 industry sectors (transportation, industrial, field services, facilities) through stakeholder interviews and workshops, translating findings into product use cases and MVPs.
• Wrote complex SQL queries against Maximo databases to extract, validate, and analyze structured operational datasets for client reporting.
• Gathered reporting requirements from clients and built custom reports using BIRT, from specification to final delivery.
• Acted as Product Owner in Agile/SCRUM sprints, managed backlog, led demos, and configured dashboards (Start Centers) and notification rules inside IBM Maximo for multiple client environments.
• Managed UAT and regression testing across client rollouts, partnering with end users to confirm accurate data delivery.
• Configured MAXAPPS mobile application via XML, enabling field technicians to access and update work orders on-site.

Tools: SQL, BIRT, IBM Maximo, KPI Dashboards, EDA, Data Documentation, Excel, Data Quality

Data Scientist and Analytics | Smartovate · Jun 2023 – Apr 2024

Remote, United Kingdom | HR Tech

• Enhanced remote team management and performance outcomes by developing action plans using a predictive analytics solution, and worked with stakeholders to define objectives.
• Established KPIs to track engagement, streamline meeting schedules, and measure remote team productivity.
• Developed predictive ML models (LSTM, ARIMA) achieving 81% forecasting accuracy for user engagement and scheduling, documented methodology and presented findings clearly to non-technical stakeholders.
• Automated a data pipeline for payroll analytics with anomaly detection across 200+ employee records, improving data accuracy and compliance while cutting manual review time by ~40%; documented data models, KPI definitions, and reporting processes for cross-team reference.

Tools: Python, SQL, Predictive Analytics, Dashboard Development, Anomaly Detection

Machine Learning Engineer Intern | SMARTLOGGER · Feb 2022 – Jun 2022

Sousse, Tunisia | Industrial Manufacturing

• Collected and analyzed structured manufacturing datasets using Statistical Process Control (SPC) across 8 quality rules to identify process deviations and defect patterns.
• Built, compared, and documented multiple ML classification models, improving defect cause prediction accuracy by 79% and enabling data-driven quality decisions on the factory floor.
• Developed data visualizations and analytical reports communicating findings to operations and quality stakeholders in a clear, structured way.

Tools: Python, Statistical Analysis, SPC, Data Visualization, Classification Models, Flask

ANALYTICAL PROJECTS

Customer Segmentation & Behavioral Analytics

• Applied K-Means clustering and PCA for customer segmentation; built elasticity models to analyze purchase probability, brand choice, and purchase quantity, delivered insights through structured visual reports.

Skills: Python, Clustering, Dimensionality Reduction, Segmentation, Data Visualization, Business Insights

Credit Risk Modeling | Banking Sector

• Designed an end-to-end analytical pipeline, EDA, feature engineering, data mining, and logistic/linear regression modeling, to predict expected loss, producing clear visual reports for stakeholder review.

Skills: Python, Regression, EDA, Data Mining, Financial Analytics, Reporting

TECHNICAL SKILLS

BI & Reporting: Oracle Analytics Cloud, IBM Maximo Dashboards, BIRT, Excel / Google Sheets, Matplotlib, Seaborn

Data & Querying: SQL (complex queries, joins, aggregations, data mining), Python (Pandas, NumPy, Scikit-learn), Data

Modeling, Database Design

Analytics: EDA, Segmentation, Trend Analysis, Predictive Analytics, Anomaly Detection, A/B Testing, Statistical Process

Control

Documentation & Process: Requirements Documentation, Data Governance, KPI Definition, Repeatable Process Design, Data

Quality

Collaboration: Cross-functional Teamwork, Stakeholder Training, Data Literacy, Agile/SCRUM, Remote Work

EDUCATION

Computer Science Engineering Degree · Jun 2022

International Multidisciplinary School of Sousse — Sousse, Tunisia

CERTIFICATIONS

• Google Advanced Data Analytics (Google–Coursera)
• IBM Data Science Professional Certificate (IBM–Coursera)
• Data Scientist Associate Certification (DataCamp, 2025)
• Oracle Analytics Cloud 2025 Certified Professional
• A/B Testing in Python | Web Scraping & API Fundamentals | Python for Finance (365 Data Science)
• Maximo Application Suite Introduction & Aviation Foundations (IBM, 2024–2025)

LANGUAGES

Arabic (native) | English (fluent) | French (proficient) | German (basic)