Dana

Key Skills

Software

Don't disclose

Top Subject Matter

Healthcare / clinical data outcome prediction

Machine learning education / project-based ML mentoring

Computer vision / biometric recognition

Top Data Types

Text

Top Task Types

Question Answering

Object Detection

Data Collection

Freelancer Overview

AI Engineer Intern, Children’s Cancer Hospital 57357 (AI-for-healthcare training). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Science, Helwan University (2023) and Postgraduate Diploma, Kafr El-Sheikh University (2023). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming, Coding, and Question Answering.

Labeling Experience

Data Analyst Intern, Watt Route (EV Charging Analytics)

Don't discloseData Collection

Collected, cleaned, and modeled EV and charging-station datasets to analyze usage patterns and performance trends. • Performed data cleaning and modeling steps for downstream analytics. • Built dataset views supporting dashboards and automated reporting. • Conducted geospatial analyses to support strategic decisions. • Evaluated insights to guide network expansion and improve user experience.

2025 - Present

Data Science Mentor, DEPI Projects (EV Charging Analytics)

Don't discloseTextQuestion Answering

Provided 1-to-1 mentoring focused on applying Python and machine learning to real student and freelancing projects. • Guided mentees in building ML-ready workflows from raw data. • Helped students select features and prepare datasets for modeling. • Supported portfolio building using practical ML techniques. • Facilitated learning through project reviews and targeted feedback.

2024 - 2025

Deep Learning Engineer (Freelance), Personal Detection / person recognition system

Don't discloseObject Detection

Created a person-recognition system using facial and biometric data with model training and validation. • Prepared biometric/facial inputs for training. • Trained and validated recognition models to achieve real-world accuracy. • Iterated on model performance based on validation outcomes. • Documented and implemented the end-to-end recognition pipeline.

2023 - 2023

AI Engineer Intern, Children’s Cancer Hospital 57357 (AI-for-healthcare training)

Don't disclose

Built proof-of-concept models for clinical data to predict patient outcomes as part of AI-for-healthcare training. • Worked with clinical datasets and prepared inputs for downstream modeling. • Implemented data processing steps required for model development. • Validated and iterated on predictive approaches based on training results. • Contributed to a healthcare AI workflow focused on outcome prediction.

2023 - 2023

Education

Work History