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I'm a software engineering graduate focusing on machine learning and data science. I earned my degree from the University of Manchester and spent a year deploying ML models in production, collaborating on industry-focused research with Intel. I have a strong foundation in Python, Java, SQL, and Azure, and I’m growing my expertise in ML and data science through hands-on projects. I'm reliable, analytical, and eager to contribute to high-impact software initiatives.…I'm a software engineering graduate focusing on machine learning and data science. I earned my degree from the University of Manchester and spent a year deploying ML models in production, collaborating on industry-focused research with Intel. I have a strong foundation in Python, Java, SQL, and Azure, and I’m growing my expertise in ML and data science through hands-on projects. I'm reliable, analytical, and eager to contribute to high-impact software initiatives.

Ashhab Imran

Data Scientist, AI Engineer, AI Developer, +3

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I'm a software engineering graduate focusing on machine learning and data science. I earned my degree from the University of Manchester and spent a year deploying ML models in production, collaborating on industry-focused research with Intel. I have a strong foundation in Python, Java, SQL, and Azure, and I’m growing my expertise in ML and data science through hands-on projects. I'm reliable, analytical, and eager to contribute to high-impact software initiatives.…I'm a software engineering graduate focusing on machine learning and data science. I earned my degree from the University of Manchester and spent a year deploying ML models in production, collaborating on industry-focused research with Intel. I have a strong foundation in Python, Java, SQL, and Azure, and I’m growing my expertise in ML and data science through hands-on projects. I'm reliable, analytical, and eager to contribute to high-impact software initiatives.

Available to hire

I’m a software engineering graduate focusing on machine learning and data science. I earned my degree from the University of Manchester and spent a year deploying ML models in production, collaborating on industry-focused research with Intel.

I have a strong foundation in Python, Java, SQL, and Azure, and I’m growing my expertise in ML and data science through hands-on projects. I’m reliable, analytical, and eager to contribute to high-impact software initiatives.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Machine Learning Software Engineer at Bender UK Ltd

September 1, 2023 - August 1, 2024

Developed and deployed machine learning models into production environments using Python and Scikit-learn; performed data analysis and preprocessing with NumPy and Pandas; created data visualizations with Matplotlib and Seaborn; contributed to multiple real-world ML projects including Data-Driven Optimization of Route Health, ML analysis of rain impact on weather factors, and weather-driven insulation optimization; extended an existing Symbolic Machine Learning Pipeline (SMLP) to analyze and optimize neural network models; added support for additional ML models including polynomial regression, decision trees, and random forests; focused on verification, optimization, and real-world applicability of symbolic ML approaches.

Machine Learning Software Engineer at Bender UK Ltd.

September 1, 2023 - August 20, 2024

Developed and deployed machine learning models in production environments using Python and Scikit-learn. Performed data analysis and preprocessing with NumPy and Pandas. Created data visualisations using Matplotlib and Seaborn. Contributed to multiple real-world ML projects, including Data-Driven Optimisation of Route Health, ML Analysis of Rain Impact on Weather Factors, and Weather-Driven Insulation Optimisation. Extended an existing Symbolic Machine Learning Pipeline (SMLP) to analyse and optimise neural network models. Added support for additional ML models including polynomial regression, decision trees, and random forests. Focused on verification, optimisation, and real-world applicability of symbolic ML approaches.