Struggling to understand performance, track the right KPIs, or uncover growth opportunities hiding in your data? I'm here to help.
I transform messy, scattered information into clear, interactive insights – so you can make confident decisions, cut through uncertainty, and focus on what actually moves your business forward.
Excerpts from a professional recommendation — real words from those I've worked with
Focused, credible services — backed by certified training & real‑world projects
SQL querying, data cleaning, statistical analysis, hypothesis testing, spreadsheet mastery
Pandas, NumPy, data manipulation, visualisation, scripting, OOP, Jupyter Notebook workflows
Regression, Classification, NLP, Clustering, Recommender Systems — full ML stack
Interactive reports, DAX measures, data modeling, Power Query, storytelling
Certified Data Scientist & Machine Learning/AI Professional
I'm a certified Data Scientist & Analytics professional with a passion for turning complex data into clear, actionable strategies. My work sits at the intersection of Data Analytics, Predictive Modeling, AI Solutions, Data Storytelling, and Business Reporting.
I believe every dataset tells a story — one that can redefine how organizations operate and grow. My approach is always rooted in business impact: no vanity metrics, just measurable results.
El Mahdi's contributions were marked by professionalism, empathy, and a strong sense of responsibility. His ability to break down complex topics made a significant difference.
From raw data to insights — spreadsheets, SQL, statistics, and data storytelling.
Pivot tables, conditional formatting, VLOOKUP, IF logic, regex, data cleaning, aggregations
SELECT, WHERE, JOINs, window functions, CTEs, subqueries, aggregations, views, normalization
Descriptive stats, probability distributions, hypothesis testing, confidence intervals, sampling
Handling nulls, duplicates, outliers, imputation, text formatting, datetime parsing, data quality
Line of best fit, correlation, R-squared, trend lines, residual analysis, MAE, MSE, RMSE
Importing from CSV, Excel, databases, spreadsheets; data governance & ethics compliance
real‑time sparkline · animated statistical bars
From scripting to data pipelines — NumPy, Pandas, visualisation, OOP, and more.
Array operations, broadcasting, linear algebra, random number generation, statistical functions
Data loading, cleaning, transformation, grouping, merging, string manipulation with Pandas
Bar, pie, line, scatter plots, heatmaps, interactive visualisation with Plotly, advanced Matplotlib
Classes, objects, methods, inheritance, encapsulation, PEP 8 standards, docstrings
Search algorithms, sort algorithms, computational complexity analysis, recursive & lambda functions
Interactive analysis, Python scripting, automation, reproducible research, data pipelines
live typing · colored output · endless execution
Regression · Classification · NLP · Unsupervised Learning — from certified training.
Simple & multiple linear regression, least squares, regularisation (Ridge, Lasso), decision trees, random forests, ensemble methods, bootstrapping
Logistic regression, SVM, KNN, Naive Bayes, neural network classifiers, metrics (precision, recall, F1, ROC, AUC), imbalanced data handling
Text cleaning, tokenisation, TF-IDF, bag-of-words, feature extraction, sentiment analysis basics
PCA, advanced dimensionality reduction, K-means, hierarchical clustering, Gaussian Mixture Models, geospatial clustering
Hyperparameter tuning, cross-validation, train-test split, model persistence (saving/restoring), variable selection
Content-based filtering, collaborative filtering, similarity metrics, project experience
cascading signal pulses · live neural activation
End‑to‑end dashboard creation — from data transformation to interactive reports.
Import data, transform with Power Query, build data models, establish relationships & cardinality
Calculated columns, measures (SUMX, AVERAGEX, CALCULATE, FILTER), time intelligence, variables
Star schema, cardinality, cross‑filter direction, role‑playing dimensions, RELATED function
Slicers, bookmarks, drill‑through, custom tooltips, mobile layout, sharing to Power BI Service
Conditional formatting, custom themes, colours & fonts, accessibility, layout & composition
Key influencers visual, Analyze feature, Q&A, data profiling, conditional formatting for insights
animated KPI counters · trend detection · dynamic bars
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Customer Ratings, Pricing & Format Analysis — 500 bestselling books analyzed for market share, pricing strategy, and reader satisfaction patterns.
Seasonal Trends, Product Performance & Geographic Insights — $8.9M in sales analyzed for demand patterns and revenue drivers across European markets.
Revenue Trends, Customer Segmentation & Product Analysis — six-year performance review with 39%+ profit margin and demographic insights.
Everything you need to know about my services, tools, and approach — all in one place.
I help businesses transform raw data into actionable insights through Data Analytics, Business Intelligence, Machine Learning, Python development, SQL analysis, and custom Power BI dashboards. My work spans the full data pipeline — from cleaning messy datasets to building predictive models and interactive reports.
Yes — and this is often the most important step in any analytics project. I specialize in data cleaning, validation, transformation, and quality assurance. Using tools like Pandas, Power Query, SQL, and regex, I handle nulls, duplicates, outliers, inconsistent formatting, and datetime parsing to ensure accurate analysis and reporting downstream.
My primary toolkit includes Python, SQL, Power BI, Pandas, NumPy, Machine Learning libraries (Scikit-learn, XGBoost), Jupyter Notebooks, Excel, Google Sheets, and relational databases (MySQL, PostgreSQL).
Absolutely. I create interactive Power BI dashboards that help organizations monitor KPIs, track performance, identify trends, and make informed business decisions. Each dashboard includes DAX measures, data modeling, custom tooltips, bookmarks, drill‑through pages, and mobile‑responsive layouts.
Yes. I build predictive models using techniques such as regression (linear, Ridge, Lasso, decision trees, random forests), classification (logistic regression, SVM, KNN, Naive Bayes), clustering (K-means, hierarchical, Gaussian Mixture Models), recommendation systems, and natural language processing (NLP) — all aimed at solving real-world business problems.
Yes. I perform exploratory data analysis (EDA), statistical analysis, trend identification, hypothesis testing, and predictive modeling to uncover valuable insights hidden in your data. I use correlation analysis, confidence intervals, residual analysis, and metrics like MAE, MSE, and RMSE to validate findings.
I work with spreadsheets, CSV files, SQL databases (MySQL, PostgreSQL), Excel files, and other structured datasets. I also handle data governance considerations and ensure compliance with data legislation and ethics standards.
My workflow follows four clear stages:
Yes. Every business has unique challenges, which is why I design tailored analytics and AI solutions rather than relying on one-size-fits-all approaches. Whether you need a custom dashboard, a predictive model, or a full data pipeline, I build solutions that fit your specific context and goals.
I combine analytical thinking, business understanding, and certified technical expertise (Data Science, Data Analytics, Python, and ML/AI) to create solutions that are practical, measurable, and focused on delivering real business value. No vanity metrics — just results that move the needle.
Still have questions? I'm happy to help.