I am a motivated master's candidate in Data Science and Artificial Intelligence at the University of Liverpool with a strong foundation in AI and hands-on experience in machine learning pipelines, Python scripting, and data analysis. I enjoy developing AI-driven solutions that enhance business operations and educational processes. I am eager to contribute to impactful, real-world AI projects in a collaborative and remote setting, leveraging my skills in data science, machine learning, and cloud platforms to create scalable and efficient systems.

Kiran Ganesh

I am a motivated master's candidate in Data Science and Artificial Intelligence at the University of Liverpool with a strong foundation in AI and hands-on experience in machine learning pipelines, Python scripting, and data analysis. I enjoy developing AI-driven solutions that enhance business operations and educational processes. I am eager to contribute to impactful, real-world AI projects in a collaborative and remote setting, leveraging my skills in data science, machine learning, and cloud platforms to create scalable and efficient systems.

Available to hire

I am a motivated master’s candidate in Data Science and Artificial Intelligence at the University of Liverpool with a strong foundation in AI and hands-on experience in machine learning pipelines, Python scripting, and data analysis. I enjoy developing AI-driven solutions that enhance business operations and educational processes.

I am eager to contribute to impactful, real-world AI projects in a collaborative and remote setting, leveraging my skills in data science, machine learning, and cloud platforms to create scalable and efficient systems.

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Experience Level

Expert
Intermediate
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Intermediate
Intermediate
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Intermediate

Language

English
Advanced

Work Experience

Data Scientist / Engineer at Bolgiaten Ltd
December 31, 2024 - July 21, 2025
Built and deployed Python-based machine learning models for candidate profiling and analytics workflows. Designed scalable AI systems on AWS and Azure, improving data processing speeds by 15%. Applied SHAP and LIME to interpret model outputs for recruitment insights and stakeholder communication. Used GitHub Actions and CI/CD tools to automate ML delivery and improve deployment efficiency. Contributed to educational and recruitment platforms with AI features for filtering and ranking profiles.
Data Analyst / Scientist Trainee at Arcadia
August 31, 2023 - July 21, 2025
Developed classification and clustering models in Python and SQL for educational and HR data. Created Power BI dashboards to present insights, reducing manual reporting time by 30%. Applied anomaly detection and time-series forecasting to assess candidate trends and behavioural signals. Automated data pipelines (DBT, Postgres) and implemented robust ETL strategies. Ensured data quality and performance through SQL optimisation and monitoring scripts.
Data Analyst Intern at Rice HR Technologies
February 28, 2023 - July 21, 2025
Supported automation of internal tools for data analysis and recruiter efficiency using Python and shell scripting. Improved user engagement through ReactJS-based interfaces for candidate application tracking. Optimised back-end modules in C++ to enhance platform scalability and educational data handling.

Education

MSc at University of Liverpool
January 1, 2023 - December 31, 2025
Bachelor of Engineering at Anna University
January 1, 2018 - December 31, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet, Professional Services, Financial Services

Experience Level

Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate