Amr M.

Key Skills

Software

Other

Appen

Mindrift

Scale AI

Toloka

Top Subject Matter

Machine Learning and Data Science (movie data)

Machine Learning (tabular water data)

Top Data Types

Computer Code Programming

Top Task Types

Data Collection

Classification

Text Generation

Object Detection

RLHF

Evaluation/Rating

Transcription

Computer Programming/Coding

Freelancer Overview

Machine Learning and Data Science Training (Python ETL for movie dataset). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of East London (2024) and Bachelor of Science, Ain Shams University (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection and Classification.

Labeling Experience

Machine Learning and Data Science Training (Python ETL for movie dataset)

OtherData Collection

Trained in machine learning and data science by building data ingestion and preprocessing workflows for a movie dataset. The work involved extracting, cleaning, and transforming structured attributes for downstream modeling. The pipeline used common data wrangling tools to prepare labeled-style tabular features from external sources. • Developed a Python-based ETL pipeline integrating CSV files and the OMDb API • Collected and cleaned 100+ movie attributes (e.g., titles, release dates, earnings, ratings) • Processed data using pandas and NumPy • Produced a transformed dataset suitable for ML model training

2023 - 2023

Machine Learning Engineer Training (water dataset modeling)

OtherClassification

Performed ML training involving feature engineering and data preprocessing for a water dataset with missing values. The project focused on improving model performance by optimizing algorithms and preparing inputs. Results were evaluated to reach a specified accuracy for the trained model. • Built a project dataset with 10 columns and 3,276 rows including missing values • Applied feature engineering and data pretreatment techniques • Optimized algorithms to improve training outcomes • Achieved 77.8% model accuracy through iterative experimentation

2022 - 2022

Education

Work History