Jul 2025 – Present · 11 mos

Feb 2025 – Present · 1 yr 4 mos

Nov 2024 – Oct 2025 · 11 mos

• ● Analysed footage of strikers by tagging key events, identifying patterns to develop targeted 1v1 coaching strategies.
• ● Utilized StatsBomb 360 data to conduct in-depth player performance analysis, informing course design.
• ● Presented data-driven insights to coaching staff, enhancing training methodologies and player development.

Oct 2024 – Jul 2025 · 9 mos · London Area, United Kingdom

• ● Prepared weekly payouts for over 15 vendors using Excel, ensuring timely and accurate disbursement.
• ● Validated size and color variants of clothing on the website and updated data for newly added products using Excel to maintain inventory consistency.
• ● Utilized Python and Excel to update inventory quantities and remove out-of-stock products, ensuring accuracy of inventory data.
• ● Monitored order fulfillment statuses from vendor Shopify accounts, tracking them in Excel and updating records as needed to support efficient order management.

Jul 2024 – Nov 2024 · 4 mos · London Area, United Kingdom

• ● Conducted data exploration to assess player retention across age groups, delivering actionable insights to the CEO for strategic planning.
• ● Designed and implemented an analytical framework using Python and Excel, optimizing workflows and improving efficiency by 50%.
• ● Developed a custom event tagging tool in Python to replace proprietary software, enabling precise data manipulation and saving the organization significant costs.
• ● Created interactive Tableau dashboards to visualize performance trends, ensuring clarity in stakeholder communication.

Jun 2024 – Aug 2024 · 2 mos · Remote

• ● Evaluated AI-generated code quality, identifying strengths and weaknesses to improve coding generation capabilities.
• ● Solved complex coding problems using Python, ensuring functional and efficient solutions.
• ● Contributed to training generative AI models for coding generation, helping advance cutting-edge AI language model capabilities.
• ● Collaborated remotely with a global team of professionals to enhance AI coding tools, fostering innovation in the artificial intelligence domain.

Oct 2023 – Jul 2025 · 1 yr 9 mos · London Area, United Kingdom

• ● Developed Excel dashboards to monitor sales performance across regions and employees, enabling data-driven decisions and contributing to incentive program success.
• ● Streamlined VAT compliance by designing and maintaining accurate data validation systems, ensuring alignment with tax regulations and improving operational efficiency.

Oct 2023 – May 2024 · 7 mos · On-site

• ● Performed detailed analysis to support post-match reviews, driving data-informed strategic decisions.
• ● Produced actionable match reports using Python, Tableau, and PowerPoint, translating raw data into clear insights for stakeholders.
• ● Collaborated with coaches and players to align analytical insights with their tactical and strategic needs.
• ● Recorded matches using a VEO camera and uploaded them to Hudl, ensuring seamless video access for analysis and coaching purposes.

Sep 2021 – Mar 2022 · 6 mos · Kochi, Kerala, India · On-site

Aug 2021 – Aug 2023 · 2 yrs · Bengaluru, Karnataka, India

• ● Led a team of engineers to automate workflows, improving test coverage by 50% and streamlining workflows for greater operational efficiency.
• ● Developed and integrated Python-based automation frameworks into CI/CD pipelines, boosting deployment efficiency by 30% and reducing production defects by 15%.
• ● Used Excel to track test cases, manage workflows, and maintain accurate records, ensuring efficient reporting.
• ● Created and presented PowerPoint reports to stakeholders, effectively communicating progress, challenges, and results.

Jul 2017 – Aug 2021 · 4 yrs 1 mo

• ● Led a team to develop and execute over 100 Python-based automated test scripts, reducing manual testing efforts by 40% and improving accuracy.
• ● Led the migration of test frameworks from Perl to Python, ensuring the seamless integration and continued usability of extensive legacy libraries.
• ● Facilitated Python training sessions for team members, using PowerPoint to create documentation and support knowledge-sharing.
• ● Earned recognition for attention to detail, initiative, and leadership, resulting in a promotion within three years.