• Created Python API designed to execute scheduled sales data analysis, delivering actionable insights to the salesdashboard and various personnel within the organization, enhancing operational efficiency and informed decision-making processes.• Increased data processing efficiency by optimizing Python scripts, resulting in a 50% reduction in processing time.• Successfully deployed the python script, reducing manual data handling efforts by 7 hours per week and improvingdata accuracy by 33%.• Enabled advanced data visualization through Python integration, delivering bespoke dashboards that equip stake-holders with valuable insights on affordability trends and benchmark comparisons.• Streamlined data migration processes between databases/environments, resulting in a smoother transition and min-imal downtime during system upgrades or migrations.• Collaborated with cross-functional teams to gather requirements and design user-centric solutions.• Utilized Docker for containerization, improving deployment efficiency and consistency across development environ-ments.• Engaged in code reviews, ensuring code quality and adherence to best practices.

• Successfully developed the Apple enterprise chat-bot, resulting an increase in productivity as well as in reports r dif-ferent stake holders.• Played a key role in the development of the Apple GBI CCRA project, enabling comprehensive analysis of customerinteractions across social media platforms, leading to actionable insights for business improvement.• Optimized data collection processes from social media platforms, improving data accuracy and reliability by 15%.