• Conducting primary research and detailed analysis of consumer sentiment surrounding the Beats by Dr. Dre brand and Gen Z perceptions of marketing campaigns and branding, utilizing data collection methods such as surveys and interviews.• Leveraging data mining techniques to extract insights on Gen Z preferences and trends, synthesizing findings into actionable recommendations for brand communication strategies.• Utilizing tools such as Excel, Tableau, and SQL to analyze market trends, identify technology shifts, and create visualizations to inform strategic decision-making in the branding and marketing domain.

• Managed and administered MySQL databases for more than fifty customers.• Presented technical solutions to BT stakeholders resulting in extended contracts and gaining more clients by 30%.• Architected and strategized an event-driven system for EMC SMARTS-ServiceNow integration using Python, leveraging Kafka to facilitate real-time alert flow, reducing load on the SMARTS dashboard by 25%.• Designed Tableau dashboards powered by AWS Redshift to analyze key telecom KPIs (ARPU, CAC, churn rate, network utilization), empowering the team to make data-driven decisions, leading to a 33% increase in operational efficiency.• Leveraged Tableau for analytics on network infrastructure, uncovering actionable insights on devices with peak event occurrences and with high ticket volume for optimizing ticket generation.• Extracted data using SQL facilitating data migration to cloud. Saving annually $21,000 worth resource time by building Power BI dashboard to visualize and automate daily performance tracking for the operations team.• Led data integration initiative, modeling and validating 15M+ records across diverse sources achieving 99% data quality.• Partnered with cross-functional teams to deliver tailored training sessions, leading to the automation of critical reports and saving 20 hours per week for 12 team members.• Accelerated customer onboarding by 40% by leading a 5-person team to implement a shell script for an automated job scheduler, promptly retrieving files from SFTP servers.

• Leveraged advanced SQL techniques to extract precise data, developing intuitive Power BI dashboards for British Telecom User management.• Developed streaming & batch ETL pipelines from diverse sources like CSV files, Kafka, and REST APIs, and performed EDA.• Optimized SQL stored procedures, queries, and user-defined functions, leading to a 20% reduction in processing time by the API fetching.• Mentored 4-person team to establish a Java spring-boot-based common-data loader (CDL), automated workflow designed to monitor fraud trends, measure the effectiveness of prevention measures, and identify emerging threats.• Designed ELK-Kibana to indicate cluster health and conducted data analysis to reduce 10% server downtime.• Served as Subject Matter Expert, leveraging expertise in assisting teams with optimizing SQL queries for performance, conceptualized solutions and implemented KPIs for dashboards to add value and drive strategic decision-making.• Awarded a Certificate of Appreciation for enhancing client data security and network efficiency, facilitating the migration of 10,000+ networking devices using shell scripts, MySQL, and Excel.• Automated data reporting, saving 60% of time by revitalizing shell scripts post-migration to an Enterprise Cloud (EC) environment from Oracle VDC (Virtual data Center).• Delivered a 15% performance improvement in the critical customer application by optimizing front-end and back-end server infrastructure. This success stemmed from close collaboration with stakeholders, daily standups, and a deep dive into user stories to identify key bottlenecks.• Automated tasks like database backup and scheduling using Python and shell scripts and worked with application layer protocols including TCP/IP, ICMP, and SNMP

Data Analysis using Python and creating Dashboards using Power BI.