Data • Analytics • AI Engineering

Ismail — Data Scientist & Machine Learning Enthusiast

I craft intelligent data products that fuse analytics, machine learning, and AI engineering to turn complex signals into decisive action.

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Core Focus

  • Data storytelling & advanced analytics
  • Production-ready ML systems
  • AI-driven automation strategies

About Me

Building intelligent systems with curiosity and craft.

I'm Ismail, a data scientist with a Master’s in Data Science and a relentless passion for machine learning and modern AI. I love shaping data narratives that empower companies to move faster and make confident, informed decisions.

Background

Master’s in Data Science, specializing in statistical learning, deep learning, and intelligent automation. I thrive at the intersection of experimentation and production-ready ML.

Areas of Expertise

  • Predictive modeling & applied ML
  • MLOps & scalable data platforms
  • Experiment design & analytics strategy
  • Generative AI & LLM workflows

Beyond the screen

You’ll find me exploring new cities, hiking mountain trails, capturing stories through photography, diving into RPGs, and cheering on my favorite teams.

Travel Hiking Photography Gaming Sports

Education

Learning the craft from research to real-world deployment.

2024 — 2025

Kingston University

Master’s in Data Science

  • Key modules: Advanced Machine Learning, Big Data Analytics, Deep Learning Systems, Applied Statistical Modelling
  • Tools: Python, TensorFlow, PyTorch, Spark, SQL, Docker
  • Capstone: Designed an end-to-end ML pipeline for anomaly detection using streaming data

2019 — 2023

Previous Degree

Bachelor’s in Computer Science

  • Focused on algorithms, data structures, and software engineering principles
  • Developed early ML projects exploring NLP and computer vision
  • Active member of data science societies

Skills & Tech Stack

From exploratory analysis to production ML systems.

Programming

Clean, reliable code for fast experimentation and production.

Python R SQL C++ HTML CSS PHP

ML / AI

Models across classical ML, deep learning, and modern foundation tech.

Scikit-learn TensorFlow PyTorch Transformers Vision Models Diffusion Models

Data Engineering

Robust data pipelines to keep models and dashboards in sync.

ETL Spark

Automation

End-to-end automation of business processes and repetitive workflows using modern RPA and low-code tools.

UiPath Power Automate n8n Workflow Orchestration

Visualization

Clear narratives through visual analytics and executive dashboards.

Matplotlib Seaborn Power BI Tableau

Tools

Day-to-day toolkit for collaboration, experimentation, and delivery.

Git Jupyter Docker Linux

Work Experience

Turning data into decisions across industries.

Feb 2024 — Sept 2024

RPA Developer

Sybros Tech · Lahore, Pakistan

  • Turned hours of manual, repetitive work into fully automated pipelines — designing intelligent workflows with UiPath and Power Automate that ran in live production environments for real clients.
  • Kept 50+ automations running smoothly in the cloud simultaneously, taking ownership of everything that could go wrong — and making sure it didn't.
  • Connected systems that weren't built to talk to each other, building API pipelines that were reliable enough to trust and transparent enough to debug fast.
  • Helped open a brand new market for the company — the automation solutions I built for a client in Saudi Arabia were part of why we won the deal and expanded into the Middle East.

OCT 2023 — MAY 2024

Python Developer

Banyo LTD · UK, Remote

  • Built scalable Python pipelines for data extraction, processing, and automation.
  • Developed web scraping frameworks using BeautifulSoup, Selenium, and Scrapy to collect structured datasets from multiple web sources.
  • Created Flask REST APIs to deliver processed data for analytics dashboards and AI applications.
  • Implemented logging, retry mechanisms, and fault-tolerant workflows for production-ready data systems.

June 2023 — Jan 2024

Data Scientist

Psi-Sqaure LTD · Lahore, Pakistan

  • Developed and evaluated machine learning and NLP models for real-world applications, performing data labeling, preprocessing, and fine-tuning to improve model accuracy and generalization.
  • Built scalable Python-based data and machine learning pipelines for data cleaning, feature engineering, and model evaluation, enabling efficient and reproducible experimentation workflows.
  • Improved model accuracy from 78% to 86% through feature engineering and hyperparameter tuning, enhancing predictive performance and robustness.
  • Integrated external APIs and internal data services to streamline data ingestion and ensure structured, high-quality inputs for downstream ML models and analytics systems.

Projects

Selected work across analytics, ML, and AI engineering.

Computer Vision · Generative AI

Brain Tumour Detection (Diffusion + ViT)

Trained a custom diffusion model to generate a synthetic brain MRI dataset, then fine-tuned a custom Vision Transformer to detect tumours—improving robustness when real labelled data is limited.

Python PyTorch Diffusion Models Vision Transformer

LLMs · Retrieval

localGPT (Local RAG for PDFs)

Built a local RAG system to ingest long PDFs and answer user queries with grounded citations. Deployed on a remote machine to keep retrieval + inference responsive for real client workflows.

Python RAG Embeddings Vector DB

Automation · RPA

Email Automation (Inventory + Planner)

Implemented an event-driven workflow where specific incoming emails are parsed to extract key fields, update inventory records, and create structured Planner tasks—reducing manual ops work and improving SLA response times.

Power Automate Outlook Microsoft Planner Workflow Orchestration

Computer Vision · Apps

Cat vs Dog Classifier (CNN + ViT)

Trained convolutional and Vision Transformer models for cat–dog image classification, then wrapped the best-performing model in a Streamlit app so non-technical users can upload images and get instant predictions.

Python PyTorch CNN Vision Transformer Streamlit

Download CV

Get the full story.

Dive into my detailed experience, case studies, speaking engagements, and the tools I rely on to build scalable data products.

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Ismail ML Engineer
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Contact

Let’s collaborate.

Whether you need help architecting data products, shipping ML pipelines, or exploring AI strategy, I’m always excited to talk.

in LinkedIn GH GitHub @ Email