Daniel Nerozi Email & Phone Number

London, GB

London, England, United Kingdom

• Statistical modelling: Utilised supervised modelling to create new models for flagship products and updated existing ones to optimise product performance.
• Data processing: Cleaned, validated, and processed large datasets used for modelling. Ensured an accurate comprehensive representation of the UK.
• Enhanced flagship products: Ran statistical tests to validate changes and influence future improvements. Ensured sustained accuracy and effectiveness by updating and improving company-leading products.
• Migration to Python: Led the rebuild of a SAS product to Python, focusing on code efficiency, automated testing, and readability. Created automated testing to ensure data reliability and reduce time spent on manual.
• Process automation: Implemented numerous SQL and Python scripts to automate time-consuming manual processes, resulting in a tenfold increase in efficiency while maintaining accuracy. Automation was added for new and.
• Problem-solving: Successfully addressed long-standing issues within existing products, and proactively implemented effective and fast solutions.

• Promoted good practice in the department by sharing research and knowledge gained through external courses and led the creation of tutorial videos on how to fully utilise new software.
• Took the initiative to join numerous development courses and chosen to participate in the prestigious SSAT Leadership course, collaborating closely with leaders in education across England.
• Recording and monitoring student progress in exams to find area of development for students using Excel. Students’ marks increased on average by 21% for 76% of individuals.
• Volunteered to take on responsibility in the department including leading engagement within Mathematics, organising the UKMT Maths Challenges and Black History Month sessions, mentoring trainee teachers, and ensuring.
• Continually collaborating with teachers to create better resources for the department and assisting other departments with Mathematics and Russian exams.
• Supported school-wide transition to online learning during COVID lockdowns and led the creation of tutorial videos on how to fully utilise new software.

London, England, United Kingdom

• Data collection: Initiated and created a player database using SQLite, converting recordings into data by tracking a range of events and their co-ordinate locations.
• Processing and analytics: Organised, manipulated, and cleaned data using SQL for further analysis in R and Python. Clearly delivered key insights to fellow coaches using PowerPoint to inform coaching practises.
• Metric driven: Tracked effects of interventions over time, which led to an increase in average points per game from 1.88 to 2.33 during this period.

London, England, United Kingdom

Pgce, Secondary Education And Teaching, Pass

Bachelor Of Science - Bs, Mathematics, First