Sarina Patel Email & Phone Number

London, England, Gb

London, United Kingdom

London, United Kingdom

As a Data & Analytics Senior Consultant in the Data, Risk & Analytics Team at Deloitte, I have worked with major TMT clients (Technology, Media, and Telecommunications) as a Data Scientist, Airflow Engineer, and Data Architect for analytical tool design and implementation. Main Responsibilities:• Building and maintaining strong senior client relationships to uncover their challenges and needs through requirements gathering and workshops.• Designing, deploying, and monitoring solutions to meet client requirements, ensuring data governance is in place for compliance and data integrity.• Collecting and cleaning data before conducting analysis and modelling to identify trends, patterns, and insights in the data.• Clearly presenting findings and actionable recommendations to senior stakeholders. Key achievements include: • Designed and deployed complex, dynamic data workflows in Apache Airflow, integrating Python and AWS services (e.g. Batch, S3, RDS, SES) for faster premise-to-hub routing calculations.• Developed and automated Snowflake SQL stored procedures for calculating the Product Carbon Footprint of 80,000 products to be used across the business.• Used Bayesian probability modelling to analyse customer behaviour and usage patterns to determine the optimal trade-in time for customer handsets, balancing cost and CO2 emissions.• Developed a clustering algorithm in R using DBScan, leveraging geospatial data to strategically group 10.5 million rural premises for a telecoms client's broadband expansion project. Passionate about continuous learning and team growth, I actively promote knowledge sharing and industry expertise in the TMT Communications team and have contributed to organising hackathons and delivering skill-enhancement sessions within the Data Science guild. Additionally, I am proud to support the Mental Health & Wellbeing team in creating a supportive and inclusive workplace.

London, United Kingdom

As a Clinical Statistician for the Future Pipeline Discoveries team in R&D, my role primarily involved advising on study designs, performing statistical analyses, interpreting study results, and collaborating closely with professional statisticians and cross-functional teams to ensure the quality and safety of pharmaceutical products. Responsibilities:- Understanding and applying existing statistical methods (e.g. Bayesian statistics, Survival Analysis, Decision Trees) to accurately analyse clinical trial data and interpret study results.- Utilising R, SAS, and Microsoft Excel for statistical analysis and data visualisations for clinical trial reporting.- Clearly presenting trial results to multiple teams and senior leadership at GSK.Achievements:- Led the development of the ‘Reporting and Analysis Plan’ for a clinical trial which included conducting calculations and making decisions on the experimental design of the clinical trial (e.g. sample size, randomisation scheme, power calculations) - Contributed to an internally produced R package using R Shiny, utilised by Biostatistics staff, to aid management decisions of "go/no-go" for ongoing clinical trials.

Bachelor Of Science - Bs (Hons) With Sandwich Year, Mathematics, 1St Class

Activities and Societies: School of Science Student Helper, Welfare and Diversity SiO for the Mathematical Science Department

A Levels/As Levels

A Levels: Biology (A*); Mathematics (A); Chemistry (A) AS Level: Physics (A)