Shrusti Hiremath
Senior Ml Data Associate @Amazon
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WORK HISTORY
Senior Ml Data Associate @Amazon
Cambridge, GB
1.Worked on Large Language Models (LLMs) and multimodal AI data including text, speech, audio, image, and video2.Delivered high-quality labelled data using in-house tools while meeting strict KPI and quality standards3.Generated human-in-the-loop ML insights to improve model accuracy, reliability, and responsible AI outcomes4.Analyzed error patterns and root causes, proposing process and SOP improvements to enhance data quality5.Supported daily operations and provided floor support by resolving internal queries and unblocking workflows6.Maintained strict data privacy and confidentiality, adhering to Amazon’s customer trust principles7.Demonstrated strong judgment in ambiguous data scenarios and fast-paced, multi-task environments
EDUCATION
Ballari Institute of Technology and Management
Bachelor of Engineering - BE, Electrical and Electronics Engineering
University of Liverpool
Masters, Data science and Artificial intelligence with the Year in Industry
ABOUT SHRUSTI HIREMATH
I’m an MSc Data Science & Artificial Intelligence candidate at the University of Liverpool, with a solid foundation in Electronics and Communication Engineering. My journey into data began with a deep interest in solving real-world problems and a desire to turn complex datasets into clear, actionable insights.Professionally, I’ve worked with DXC Technology, where I created standardised Excel reporting templates that saved 12+ hours per month and monitored critical network KPIs that informed business decisions. At Isquare Soft, I led the development of automated MI dashboards, reducing data logging errors by 15% and improving reporting efficiency.Across academic and corporate projects, I’ve consistently leveraged SQL, Excel, Power BI, Tableau, and Python (Pandas, NumPy) to clean, analyse, and visualise data that shapes business strategy. I also bring familiarity with Git, R, and a strong understanding of stakeholder reporting and performance metrics.What excites me most about data is its power to connect technical insights with human decisions. Whether it’s automating a routine process or crafting an insightful dashboard, I enjoy simplifying complexity and adding measurable value.I’m actively looking for graduate roles in Data Analysis or Business Intelligence, where I can apply both my technical toolkit and my business mindset to deliver high-impact results. I also hold the right to work in the UK and am available to start immediately.My Tool Stack: Python, Data Visualization, SQL, Excel, Power BI, Tableau, Python (Pandas, NumPy), R, Git, MI Reporting
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