• Conducted statistical analysis and hypothesis testing using Python and R to
identify significant trends and patterns in data, resulting in a 25% increase in
sales.
• Investigated service performance and was responsible for daily
troubleshooting issues in the Hybrid cloud model.
• Developed and maintained complex SQL queries to extract, manipulate, and
analyze data from various sources, resulting in a 30% improvement in data
accuracy and completeness.
• Automated data processing and analysis using Python, saving the company
over 20 hours per week in manual data processing.
• Hands-on experience with algorithms, optimization techniques, applied
mathematics, parameter handling, data modeling, and evaluation.
• Trained and mentored junior data analysts on SQL, Python, and R,
improving the team's overall data analysis skills.
• Collaborated with cross-functional teams to identify business opportunities
and develop data-driven strategies for growth.
• Excellent communication and presentation skills to effectively communicate
insights and recommendations to non-technical stakeholders