Open to opportunities

Toqa Mohamed Mahfouz

@toqamohamedmahfouz

Message

Business intelligence and data analyst focused on turning complex data into actionable insights with Power BI and ML.

Egypt

Message

What I'm looking for

I’m looking for a role where I can build Power BI/SQL dashboards and apply ML to clean data into clear, business-ready insights. I want work that values data storytelling, measurable impact, and continuous learning.

I’m a Business Intelligence & Analytics student at Helwan National University with 10+ internships across data analysis, machine learning, and AI. I’m driven by a passion for turning complex, messy data into clear, actionable insights that deliver real business value.

In my BI work, I build full-cycle solutions—from cleaning and validating datasets to crafting interactive dashboards and predictive models. I’ve mastered Power BI (including DAX and Power Query) and Tableau, and I’ve built 3+ dashboards covering sales, HR, and operational KPIs, while using SQL to clean and validate data across multiple reporting pipelines.

I also apply machine learning end-to-end, building and evaluating classification models (including churn prediction) and learning full ML pipelines such as feature engineering, hyperparameter tuning, and deployment. In internships, I’ve built 4+ classification models with Scikit-learn and XGBoost, targeting strong accuracy, and I’ve used interpretability methods like SHAP to communicate results to non-technical stakeholders.

Beyond BI and ML, I enjoy connecting raw data to measurable impact using backend and big data tooling. I’ve worked with SQL and Elasticsearch on large log datasets, implemented ingestion pipelines with Apache Hive, HBase, and Spark to reduce processing time, and developed forecasting and deep learning models (including LSTM) to improve real business predictions.

Experience

Work history, roles, and key accomplishments

Current

Build with AI: Masr Edition

Current

Google Developer

Apr 2026 - Present (3 months)

Participated in a competitive Google AI & Cloud program, gaining hands-on experience building cloud-based AI projects. Worked with Vertex AI and BigQuery.

Vertex AI BigQuery

Current

Data Analyst Intern

Current

Bluestock

Apr 2026 - Present (3 months)

Cleaned and analyzed financial datasets using Python (pandas, matplotlib) and SQL, building dashboards to track 3+ KPIs across business units. Delivered weekly data reports translating raw numbers into business-ready insights.

Python Pandas Matplotlib SQL Data Cleaning Data Analysis KPI Reporting Reporting

Current

Machine Learning Engineer

Current

Codveda Technologies

Mar 2026 - Present (4 months)

Built and evaluated 4+ classification models using scikit-learn and XGBoost. Worked on customer churn prediction with ensemble methods and GridSearchCV tuning, including feature engineering, hyperparameter tuning, and model deployment.

scikit learn XGBoost Classification GridSearchCV Hyperparameter Tuning Feature Engineering

Data Analysis Intern

SaiKet Systems

Mar 2026 - Apr 2026 (1 month)

Conducted EDA on 2+ business datasets using Python (seaborn, pandas) to identify trends that informed strategy recommendations. Delivered a sales performance analysis report using outlier detection and correlation analysis.

Python SeaBorn Pandas Sales Analysis

Gen AI

Nvidia

Sep 2025 - Oct 2025 (1 month)

Studied transformer architecture, LLMs, and prompt engineering through NVIDIA’s Gen AI curriculum. Learned how LLMs are fine-tuned and deployed for NLP business applications.

Transformer Architecture LLM Prompt Engineering LLM Fine tuning NLP

Machine Learning Engineer

Creativa Innovation Hubs

Aug 2025 - Oct 2025 (2 months)

Developed a medical data classification model using Python and scikit-learn with feature selection and cross-validation to achieve high precision. Applied SHAP values to interpret model outputs and communicate results to non-technical stakeholders.

Python scikit learn Cross Validation SHAP Model Interpretability

AI of Business

National Telecommunication Institute (NTI)

Jul 2025 - Aug 2025 (1 month)

Built an LSTM-based sales forecasting model using a real business time-series dataset. Evaluated performance with MAE, RMSE, and accuracy, improving forecast accuracy by ~15%.

RNN Time Series Deep Learning MAE

Data Science / Data Analytics Intern

Brainwave Matrix Solutions

Feb 2025 - May 2025 (3 months)

Executed 3+ data science projects using scikit-learn, pandas, and matplotlib for modeling and visualization. Built a customer segmentation model using K-Means clustering to improve targeting efficiency.

scikit learn Pandas Matplotlib Data Visualization Modeling Customer Segmentation

AI & ML with Quantum

نوركتبم بابش

Nov 2024 - Apr 2025 (5 months)

Built AI/ML pipelines using Python, TensorFlow, and scikit-learn covering CNNs, RNNs, GANs, NLP, and Quantum ML. Delivered a heart disease classification capstone achieving 91%+ accuracy using Random Forest.

Python TensorFlow scikit learn CNN RNN Gan NLP Quantum Machine Learning Random Forest

Big Data Analyst

National Telecommunication Institute (NTI)

Aug 2024 - Sep 2024 (1 month)

Queried and managed 1M+ record datasets using SQL and Elasticsearch for log analysis. Implemented a data ingestion pipeline with Apache Hive, HBase, and Spark, reducing processing time by ~30%.

SQL Elasticsearch Log Analysis Apache Hive HBase Apache Spark Data Pipelines Big Data

Education

Degrees, certifications, and relevant coursework

Helwan National University

Bachelor of Science, Business Intelligence & Analytics

B.Sc. student studying Business Intelligence & Analytic Systems, expected to graduate in 2027. Builds skills in BI and analytics with hands-on experience in tools like Power BI, Tableau, SQL, and Python.

Digital Egypt Pioneers Initiative (DEPI)

Power BI Engineer Program, Power BI & Data Analytics

2024 - 2025

Activities and societies: Built 3+ dashboards (sales, HR, operational KPIs); applied predictive modeling and SQL across 5+ pipelines; graduation via team-based UK public transport delay analysis.

Power BI Engineer program (with Microsoft) where she mastered Power BI, DAX, Power Query, and Tableau. Built multiple dashboards and applied predictive modeling and SQL, concluding with a UK Train Analysis project for MCIT mentors.