Gayathri Sooraj

Experienced Data Analyst who is detail-oriented and self-starting, with hands-on experience in end-to-end data lifecycle, including data extraction, exploratory data analysis, feature engineering, model training, testing, deployment, and monitoring. Possessing a strong background in leading projects and holding an MSc in Data Science, I am equipped with both practical expertise and theoretical knowledge.

Data Analyst | Champion Mobile Global - London, UK

06/2022 – Current

• Led end-to-end data analysis projects, encompassing data collection, cleaning, exploratory analysis, statistical modeling, and insightful reporting.
• Coordinated with cross-functional teams and stakeholders to align project goals and workflows.
• Actively engaged in project planning, scheduling, resource allocation, and risk management to drive successful project outcomes and decision making.
• Generated high quality analysis reports and documentation for projects, leveraging diverse data visualization techniques and interactive dashboards.
• Employed a range of statistical techniques including hypothesis testing, regression analysis and clustering analysis to analyse quantitative data. 
• Conducted in-depth analysis of qualitative data including transcripts, text data, image data, and audio data.
• Employed methods such as sentiment analysis, content analysis, and image recognition algorithms to extract meaningful insights and patterns. 

06/2022 - 06/2023

• Constructed and trained machine learning models to analyse complex datasets, extract patterns, and predict outcomes.
• Worked with researchers from different fields to apply data science methods to various domains.
• Communicated complex data findings to stakeholders and non-technical audiences through reports and presentations.
• Optimized data processing and modeling algorithms for improved performance and accuracy.
• Ensured the integrity and confidentiality of research data throughout the project lifecycle.
• Implemented iterative testing cycles to refine models and systems, utilizing feedback to optimize performance and accuracy over time.

06/2018 - 02/2020

• Identified new sales opportunities to expand the business portfolio and maintained strong client relationships through dedicated post-sales support and engaging presentations at meetings and conferences.
• Conducted thorough analyses of sales data and market trends to identify patterns, forecast sales, and shape strategic marketing initiatives for company and client growth.
• Synthesized research findings into comprehensive reports, highlighting potential strategy outcomes to inform decision-making and optimize sales processes.
• Played a key role in developing marketing strategies, leveraging data-driven insights to advise on campaign direction and business development activities.

MSc in Data Science, University of Sussex 

Key Modules: Algorithmic Data Science, Data Analysis Techniques, Data Science Research Methods, Image Processing, Machine Learning, Web Applications and Services