Hi, I'm Muhammad Ayan Hashmi

Data Scientist|

Transforming Data into Insights, Ideas into Solutions

1+

Years of Experience

14+

Projects Completed

6+

Technologies Mastered

About Me

Education & Professional Background

I completed my Bachelor of Data Science degree with specialisation in Data Analytics at RMIT University in 2025, where I immersed myself in the theoretical foundations and practical applications of machine learning, data engineering, and enterprise systems development. Alongside maintaining a strong GPA, I actively contributed to research projects that explored innovative applications of data in business environments.

My university experience was enriched by my active involvement in the Data Science Society at RMIT, where I contributed to organizing workshops, hackathons, and industry networking events. This role allowed me to collaborate with fellow students on challenging projects and help connect academic learning with real-world industry practices. I also participated in cross-functional teams that developed data-driven solutions for local businesses and non-profit organisations.

Following graduation, I have continuously expanded my skill set through professional experience, online certifications, and personal projects. I believe in the importance of lifelong learning in the rapidly evolving field of technology. My commitment to staying current with the latest developments in data science, cloud computing, and software development has enabled me to deliver cutting-edge solutions that leverage the most advanced tools and methodologies available.

Beyond technical skills, I pride myself on my ability to communicate complex concepts to diverse audiences, including peers, mentors, and non-technical stakeholders. This communication skill, combined with my analytical mindset and creative problem-solving approach, allows me to effectively bridge the gap between business needs and technical implementation.

Technical Skills

Core Technologies & Expertise

Machine Learning algorithms

MACHINE LEARNING & AI

Advanced expertise in machine learning, with hands-on experience deploying models using TensorFlow, Keras, and Scikit-learn across complex real-world scenarios. Specialized in building and refining models for classification, regression, clustering, deep learning, and graph-based machine learning. Applied deep knowledge of NLP and recommender systems to develop scalable solutions that automate processes, improve decision-making, and deliver measurable business outcomes.

SQL database technology

SQL & DATABASE MANAGEMENT

Proficient in designing, optimising, and managing relational databases using SQL. Experienced with PostgreSQL, MySQL, and SQL Server for complex query development, data modeling, and ensuring data accuracy and scalability. Skilled in creating efficient database schemas, implementing indexing strategies, and designing database solutions that support enterprise-level analytics and reporting requirements. With strong understanding of database normalisation, transaction management, and query optimisation techniques for large-scale applications.

Amazon Web Services cloud platform

CLOUD COMPUTING & AWS

Solid experience in building and managing big data workflows on AWS using core services like EC2, S3, and CloudFormation. Proficient in developing scalable data processing pipelines with Apache Spark, Hadoop, and Pig for handling large-scale, distributed datasets. Skilled in cloud architecture, containerisation with Docker, and implementing automated, infrastructure-as-code solutions to support high-performance, cost-effective analytics in cloud environments.

Python programming language

PYTHON

Extensive experience using Python for data analysis, machine learning model development, and building predictive analytics solutions. Proficient with essential libraries including Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, and Seaborn for comprehensive data science workflows. Strong understanding of python's use for data manipulation, statistical analysis, model training, and visualisation, enabling efficient development of end-to-end data science solutions that drive business insights and decision-making.

Java programming language

JAVA ENTERPRISE DEVELOPMENT

Strong foundation in Java development for building robust, scalable backend systems and enterprise applications. Experience with Spring Framework, REST API development, and microservices architecture for creating maintainable, high-performance applications. Proficient in object-oriented programming principles, design patterns, and best practices for enterprise software development. Understanding of Java ecosystem including build tools, testing frameworks, and deployment strategies that ensure reliable, and scalable enterprise solutions.

JavaScript programming

JAVASCRIPT & WEB TECHNOLOGIES

Proficient in modern JavaScript (ES6+), React.js, and Node.js for creating interactive web applications and data visualisation dashboards. Skilled in building responsive, user-friendly interfaces that present complex information in accessible formats. Experience with popular visualisation libraries including D3.js and Chart.js for creating dynamic, interactive presentations that enhance user engagement and data comprehension. Strong understanding of modern web development practices, asynchronous programming, and front-end optimisation techniques.

Notable Projects

Explore some of my recent work that showcase my ability to deliver innovative solutions across various domains & technologies.

Data Science Capstone Project

Partnered closely with industry professionals to lead a comprehensive data science project applying machine learning, statistical analysis, and advanced data visualisation techniques to solve real-world business problems. Translated complex data findings into actionable insights and delivered concise, impactful recommendations to key stakeholders, showcasing strong analytical thinking, clear communication, and technical expertise.

Python ML Predictive Analysis Problem Solving

Data Visualisation Platform

Reviewed and integrated multiple existing datasets in R by identifying quality issues and transforming them into a structured, analysis-ready format. Constructed an enhanced visualisation dashboard using R, incorporating perceptual, design, and ethical principles while maintaining data integrity. Demonstrated strong data storytelling and diagnostic skills by developing advanced visualisations with ggplot2, and deploying an interactive, user-friendly interface via ShinyApps.

R Data Storytelling Shiny Data Visualisation

Machine Learning Project

Developed an end-to-end supervised learning pipeline to analyse and classify histopathology images of colon cells. The project involved two main tasks: identifying whether a given cell image was cancerous, and classifying it into one of several cell types (e.g., epithelial, fibroblast, inflammatory). I applied multiple machine learning algorithms, including CNN-based models, and compared their performance based on accuracy, interpretability, and computational efficiency.

Python Deep Learning CNN TensorFlow

Full Stack Web Application

Developed a full-stack web application using ReactJS, Express, and Cloud MySQL, incorporating a robust relational database for efficient data storage and retrieval. Implemented secure user authentication, profiles, product listings, a shopping cart, and a review system. Built an intuitive admin dashboard with GraphQL for moderation, metrics, and real-time updates. Focused on scalability and maintainability with best coding practices and version control.

React.js Express MySQL GraphQL

Professional Services

I offer comprehensive data science and business insights tailored to meet organisation's unique challenges and objectives.

Data Analysis & Visualisation

Transform raw data into compelling visual stories and actionable insights. I specialise in data analysis, statistical modeling, and creating interactive dashboards using Python, R, and modern visualisation tools like Tableau and Power BI. My approach ensures that complex data becomes accessible and meaningful for stakeholders at all levels.

Machine Learning & AI Solutions

Develop custom machine learning models tailored to specific business needs. From predictive analytics and recommendation systems to natural language processing, anomaly detection, and image recognition, I build scalable AI solutions that automate processes, improve decision-making, enhance user experience, and drive innovation.

Enterprise Software Development

Design and build robust, scalable software solutions that streamline business operations. My expertise spans full-stack web development, API design, database architecture, and cloud deployment. I focus on creating maintainable, secure applications that grow with business and integrate seamlessly with existing systems.

Database Design & Optimisation

Architect high-performance database solutions that scale with business goals and needs. I specialise in designing efficient relational database schemas, optimising complex queries, and building robust data pipelines that ensure data integrity and accessibility while reducing operational overhead.

Cloud Architecture & Deployment

Migrate applications to the cloud and optimise infrastructure for performance and cost-efficiency. I provide end-to-end cloud solutions using AWS, including containerisation with Docker, serverless architectures, and automated CI/CD pipelines that ensure reliable, scalable deployments.

Business Intelligence Consulting

Strategic consulting to help leverage data for competitive advantage. I liaise with leadership teams to identify opportunities for data-driven improvements, develop KPI frameworks, and implement analytics strategies that align with business objectives and drive measurable results.

Let's Work Together

Ready to transform data into actionable insights? I'd love to discuss how we can collaborate to achieve goals and make a measurable difference together. Whether you have a specific project in mind or need strategic guidance, let's have a convo!