MindHeal AI
An AI-powered psychological wellness ecosystem featuring 'Helia'—an emotionally adaptive digital companion built to scale supportive, conversational mental health interfaces.
I'm Ammar Yasser, a passionate machine learning enthusiast with a keen interest in developing intelligent systems that can learn and adapt. My journey in the world of AI and data science has led me to explore various facets of machine learning, from neural networks to natural language processing.
Through my projects and continuous learning, I strive to push the boundaries of what's possible with machine learning, always seeking innovative solutions to complex problems.
Download ResumeBuilt foundations in Data Analysis and Exploratory Data Analysis (EDA). Worked with Python, Pandas, Matplotlib, and Jupyter Notebooks on real-world datasets. Gained hands-on experience in data visualization, problem-solving, and teamwork. Partnered with Udacity for guided training and mentorship in core data science and AI concepts.
Developed expertise in advanced data analysis and statistical methods. Mastered univariate, bivariate, and multivariate analysis. Applied inferential statistics including Confidence Intervals, Hypothesis Testing, A/B Testing, and Probability Distributions. Built regression models (Simple/Multiple Linear & Logistic). Developed team collaboration skills through capstone project on transportation planning (Wasanly).
Learned practical machine learning workflows through the GDSC DataCamp program. Focused on data preprocessing, feature engineering, model development, and mastered Scikit-Learn and GitHub/Git.
Completed AWS-based Machine Learning and Generative AI training. Built hands-on projects using cloud-based AI technologies. Developed skills in LLMs, Classification, and ML deployment.
Selected from over 5,000 global applicants (12% acceptance rate). One-month global learning program with mentorship, career exploration, and international collaboration. Completed capstone project focused on personal branding and innovation.
Completed a 40-hour intensive applied AI and Machine Learning program. Focused on gradient boosting, feature engineering, and advanced algorithms. Earned MS Learn Badge.
Participated in foundational machine learning training as a Batch 1 student. Earned completion certificate.
Advanced training in machine learning systems and AI architectures. Completed practical industry-focused projects with technical mentorship. Earned 5 specialized certificates in Cloud Computing, Data Organization, Analytics, Python, and AI.
Collaborated with international student teams on global STEM challenges and developed research, teamwork, innovation, and problem-solving skills. The NYAS program ended in July.
Studying advanced Machine Learning, Deep Learning, Computer Vision, and Large Language Models (LLMs). Building AI solutions for complex real-world problems using industry-standard tools. The DECI L5 program ended in August.
I founded ORBIT in August as a long-term scientific research team focused on artificial intelligence, technology, engineering, and scientific discovery. The goal is to investigate meaningful problems, develop ideas, and build research-driven solutions over time. Visit orbit-team-web.vercel.app to explore the team’s mission, research, members, and competitions.
An AI-powered psychological wellness ecosystem featuring 'Helia'—an emotionally adaptive digital companion built to scale supportive, conversational mental health interfaces.
Built during Sprints x Microsoft Summer Camp, this end-to-end medical diagnostic workflow covers outlier treatment, feature engineering, cross-validation, and production-ready metric dashboards.
High-stakes clinical breast cancer diagnostic web engine powered by a pre-trained Scikit-Learn classification layout, wrapped in a high-performance Streamlit UI.
A structured master repository detailing machine learning mechanics from fundamental algebra up to deep neural implementations, functioning as a standalone codebase encyclopedia.
Industrial-grade optimization study that leverages descriptive statistics, probability matrices, hypothesis testing, and multi-variable logistic regression on interface variants.
Udacity Data Analyst Nanodegree milestone focused on EDA for Ford GoBike transaction data to expose commuting behaviors and rider distributions.
Comprehensive ETL pipeline parsing the WeRateDogs archive with API data mining, JSON parsing, dirty data assessment, and rigorous cleaning.
Deep visual exploration analyzing film correlations between production investment, revenue margins, and audience critique trends.
Multi-threaded developer workspace merging web streaming layers, custom Pomodoro engines, and sticky task state boards for productivity flows.
Structured regional logistics and transportation UI concept focused on map-based interfaces and high-speed user interaction layouts.
Complete mathematical and algorithmic implementations from the Andrew Ng DeepLearning.AI specialization across supervised learning and neural network tasks.
Fast validation testbeds built to analyze isolated algorithm behaviors including linear regression, baseline trees, and clustering engines.
Level Four: Data Science and AI Graduate
Completion of an advanced global program spanning data science, machine learning, and AI systems delivered from Nov 2024 to Aug 2025.
Issued: Oct 2025
Executive Masterclass on Rights-Based Digital Transformation for UN Senior Leadership
Strategic leadership training on rights-based digital transformation for senior global stakeholders.
Issued: Jun 2026
IHS Empowerment Program Certificate
Global high school certificate focused on leadership, mindset development, and cross-cultural empowerment.
Issued: Jul 2025
Development and Basic Concepts of Cloud Computing
Core cloud computing principles, service models, and architecture fundamentals verified by Huawei.
Issued: Jan 2026
Information Representation and Data Organization
Training on structured data representation, encoding systems, and analytics-ready organization methods.
Issued: Jan 2026
Data Management and Analytics
Verified expertise in data lifecycle management, analytics workflows, and enterprise data governance.
Issued: Jan 2026
Python Programming Basics
Verified foundational Python programming skills including scripting, control flow, and basic automation.
Issued: Jan 2026
Overview on AI
High-level AI overview certificate covering model families, application areas, and ethical considerations.
Issued: Dec 2025
Machine Learning Specialization
Full 3-course series covering supervised learning, neural networks, and practical machine learning applications.
Supervised Machine Learning: Regression and Classification
Focused deep learning certification for regression and classification model development and validation.
Advanced Learning Algorithms
Advanced AI certificate covering optimization, ensemble methods, and scalable algorithm design.
Unsupervised Learning, Recommenders, and Reinforcement Learning
Specialized certificate for clustering, recommender systems, and reinforcement learning strategies.
Intro to Machine Learning
Introductory certificate covering supervised learning basics, evaluation metrics, and model interpretation.
Intermediate Machine Learning
Intermediate certificate focused on feature engineering, model tuning, and practical ML workflows.
Intro to Deep Learning
Entry-level deep learning certificate covering neural networks, activation functions, and model training pipelines.
Introduction to Generative AI Concepts
Certificate covering core generative AI ideas, foundation models, and practical use cases.
Issued: Aug 2025
AI & ML Summer Camp (40 Hours)
Hands-on summer camp certificate focused on practical AI and ML applications paired with industry mentorship.
Issued: Aug 2025
Supervised Learning with scikit-learn
Verified scikit-learn skills for supervised learning pipelines, training, and model evaluation.
Issued: Aug 2025
Generative AI with AWS
Certificate covering AWS-powered generative AI tools, deployment models, and practical cloud workflows.
AWS AI & ML 2025 Challenge / Scholar Certificate
Scholar certificate awarded for participation in AWS AI and ML challenge initiatives.
ML-HUB Batch 1
Completed the first batch of ML-HUB practical training focused on data science pipelines and model delivery.
Issued: Nov 2025
GDSC DataCamp Foundation Certificate
Foundation certificate for data science skills delivered through the GDSC DataCamp program.
Python Coder Certificate
Verified practical Python coding capabilities and foundational programming confidence.
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