Ankit Ray

With a strong background in data science and artificial intelligence, I am confident in my ability to contribute effectively to your team. As detailed in my attached CV, my professional journey has equipped me with a diverse skill set that makes me well-suited for the role. During my tenure as a Data Analyst at Amazon UK E-commerce, I gained extensive experience in utilizing SQL to analyze vast datasets, Utilising internal AWS based tools to identify trends, extract actionable insights and collaborating with Amazon's Inventory control audit teams and various quality team members to champion the integration of data science solutions. Creating impactful use cases that leverage the vast and high-quality datasets readily available within the Amazon data warehouse, addressing specific business challenges and fostering widespread adoption. This experience not only strengthened my analytical capabilities but also instilled in me a profound appreciation for the critical role of data in understanding and mitigating risks associated with it.

My academic background, which includes a Master's degree in Data Analytics from the University of Sheffield, provides a solid foundation in both technical and analytical aspects. This education, combined with my practical experience, positions me as a well-rounded professional prepared to contribute to the challenges associated within the organisation.

I have a proven ability to work in Agile environments and implement software engineering best practices. My collaborative approach is complemented by effective leadership skills as highlighted in my CV is a project where I designed and developed a dynamic and responsive website recommending clinical trials for lived experience users which helped my team to win a prestigious Hackathon organised by Wellcome organisation. This event showcases my ability to connect with diverse audiences through technology, utilizing SQL, machine learning, Python, Natural Language Processing (NLP), and other technologies for impactful solutions. My collaborative approach, coupled with a commitment to proactively address challenges, has resulted in successful resolutions to technical and data quality concerns.

What distinguishes me is not only my technical expertise but also my ability to transcend these skills to become a thought partner to Business Unit partners. By closely collaborating with them, I identify high-potential audiences aligning with business objectives, fostering a synergistic relationship between data analytics and strategic business goals.

1. Data Analyst at Amazon UK , 

• I gained extensive experience in utilizing SQL to analyze vast datasets, Utilising internal AWS based tools to identify trends, extract actionable insights and collaborating with Amazon's Inventory control audit teams and various quality team members to champion the integration of data science solutions. 
• Creating impactful use cases that leverage the vast and high-quality datasets readily available within the Amazon data warehouse, addressing specific business challenges and fostering widespread adoption. This experience not only strengthened my analytical capabilities but also instilled in me a profound appreciation for the critical role of data in understanding and mitigating risks associated with it.

My academic background, which includes a Master's degree in Data Analytics from the University of Sheffield, provides a solid foundation in both technical and analytical aspects. This education, combined with my practical experience, positions me as a well-rounded professional prepared to contribute to the challenges associated within the organisation.