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.

2022 — 2024

Senior Machine Learning Engineer

Helix Analytics · Remote

Productionized NLP pipelines using Transformers to automate customer feedback analysis across 12 markets.
Rolled out feature store and CI/CD for models, cutting deployment time from weeks to hours.
Collaborated with product to design data-driven roadmaps and measurable success metrics.

2020 — 2022

Data Scientist

Northwind Insights · Manchester, UK

Developed anomaly detection models for IoT telemetry, reducing false alerts by 32%.
Built Tableau/Power BI dashboards translating complex analytics into executive narratives.
Pioneered internal ML guild and knowledge-sharing sessions across engineering teams.

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

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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 Data Scientist

Contact

Let’s collaborate.

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

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