Hi, I'm Syeda Mariam Danish

Exploring AI, Data Insights, and Ethical Governance for Smarter Systems.

View My Work Get In Touch

About Me

I am an aspiring AI/ML engineer passionate about transforming data into intelligent, human-centered solutions. My journey spans across developing machine learning models for data insights, exploring AI governance, and researching biologically inspired computation and artificial agents. Alongside research, I’ve built practical systems including a hospital management solution, a full-stack inventory system (frontend & backend). With experience in human-computer interaction through Figma prototyping and a strong interest in ethical and sustainable AI, I bring a blend of engineering, design, and research skills to create impactful and future-ready technologies.

Python Machine Learning JavaScript Next.js Express.js CI/CD Pipeline Figma (Frontend Designing) Usability Testing & Evaluation Artificial Agents
Syeda Mariam Danish portrait

Featured Projects

Customer Loyalty Prediction – Airline Industry cover

Customer Loyalty Prediction – Airline Industry

Led a team of 4 to develop a machine learning model predicting airline customer loyalty, achieving 93% accuracy. Applied PCA for dimensionality reduction and utilized Decision Trees, Naive Bayes, and CNNs to deliver actionable insights for retention strategies.

Python scikit-learn TensorFlow CNN Keras
GitHub
Auction House Inventory Manager cover

Auction House Inventory Management System

Built with Java and JavaFX, the application was developed to fulfill the client’s request for a user interface tailored to manage the inventory list of an auction house featuring various collectibles. In alignment with the requirements, a user‑friendly interface with multiple functionalities has been implemented. Additionally, the application provides a comprehensive statistics summary for the collectibles, including year estimates, oldest and newest items, total items, and other essential metrics.

Java JavaFX MVC Charts/Analytics
GitHub
MediConnect247 DevOps project cover

DevOps-Driven Hospital Management System – MediConnect247

Designed and implemented scalable backend infrastructure, developed RESTful APIs with Node.js and Express.js, integrated Jenkins for CI, and deployed containerized services on Kubernetes. Enhanced deployment velocity and system maintainability.

Node.js Express.js MongoDB Docker Microservices
GitHub
YALLAFITFUSION project cover

YALLAFITFUSION – Lifestyle Goal Achievement Application

Led an Advanced Human–Computer Interaction (HCI) project to design an interactive application supporting lifestyle goal achievement. Developed a multimodal interface incorporating voice, gesture, touch, haptic feedback, and AI assistance, ensuring accessibility for diverse users (e.g., dyslexia‑friendly design). Created a clickable prototype in Figma with gesture and voice commands for intuitive interaction, and conducted user testing using qualitative and quantitative methods (questionnaires, observations) to evaluate usability and gather feedback.

HCI Figma Accessibility Voice & Gesture Usability Testing
GitHub

Education

MSc in Artificial Intelligence

Heriot-Watt University, Dubai · Sep 2024 – Aug 2026

Graduate program with strong emphasis on applied AI, data science, and human‑centered intelligent systems.

  • Key Modules: Data Mining & Machine Learning, DevOps, Software Foundations
  • Human‑Computer Interaction, Biologically Inspired Computation
  • Artificial Agents & Intelligent Agents

PGCEi – Postgraduate Certificate in Education (International)

University of Nottingham, UK · 2023

Pedagogical training with focus on international educational practice and learner‑centered design.

BE in Telecommunication Engineering

NED University, Karachi · 2011 · CGPA: 3.7/4 – Distinction

  • Key Modules: Fundamentals of Computer Engineering; Programming with C
  • Computer Architecture & Organization; Microprocessor & Assembly
  • Digital Communication & Information Theory; Internet Computing; Computer Networks

Certificates

📘

Data Science with Python Training

REWAQ OUSHA Educational Institutions

March 10, 2024

Comprehensive training in Python for data analysis, data wrangling, visualization, and introductory machine learning. Successfully completed with certificate of completion.

Python Pandas NumPy Matplotlib Power BI scikit-learn
View Certificate
🐍

Python Training

Nizi Solutions Pakistan

Foundational Python programming including syntax, data structures, functions, OOP, and scripting.

Python OOP Scripting
View Certificate

Achievements

Experience

Machine Learning Research – Freelance Project

NED University of Engineering and Technology, Pakistan (Remote) · May 2025 – Sep 2025

  • Developed and integrated GAN-based data augmentation; implemented WGAN-GP for SNR prediction.
  • Built reinforcement learning pipeline for dynamic modulation selection in edge computing.
  • Optimized data preprocessing, model architectures, and MIMO integration.
  • Applied pruning and quantization for efficient edge deployment.
  • Monitored experiments with TensorBoard and tracked key evaluation metrics.

AI Research Intern

Techiral, India (Remote) · May 2025 – Jun 2025

  • Designed energy‑efficient neural networks with spiking neurons and memory systems.
  • Achieved memory compression and sparsity using FAISS retrieval.
  • Implemented mixed precision training to accelerate learning.
  • Evaluated models with key metrics; documented implementation and hyperparameter tuning.

RF Level 2 Engineer (Project Management)

Huawei-LCC, Pakistan · Feb 2015 – Sep 2015

  • Identified need for timely project notifications and implemented an alarm‑based progress tracking system, improving team alignment and task management.
  • Promoted from intern to permanent employee within one month for exceptional performance.
  • Created daily, weekly, and monthly project plans and reports.
  • Left due to relocation.

Project Intern

TUSDEC, Karachi, Sindh, Pakistan (On-site) · Jan 2011 – Dec 2011 · 1 year

  • Developed an Android-based car tracking system enabling real-time vehicle location tracking.
  • Leveraged Wi‑Fi network data and GPS integration for accurate, low-latency positioning.
  • Gained practical experience in Android development, real-time data processing, and fleet tracking solutions.

Intern — RF Optimization & Planning

Ufone 4G, Karachi, Sindh, Pakistan (On-site) · Jun 2010 – Jul 2010 · 2 months

  • Assisted with monitoring network KPIs to assess and optimize RF performance.
  • Analyzed coverage and performance data to support RF planning strategies and ensure targets were met.
  • Collaborated with the team to investigate network issues and recommend optimizations.

Get In Touch

Have a project in mind? Let's work together to bring your ideas to life!

Email: syedamariamdanish2020@gmail.com

LinkedIn: linkedin.com/in/syeda-mariam-d