Abdul Khan

• Utilized SQL and Python to collect, clean, and transform data from SQL databases, REST APIs, and CSV files, enabling
detailed and accurate analysis.
• Created data analysis and visualization strategies using Power BI and Tableau, including trend analysis and KPI
tracking, which improved decision-making and reporting efficiency.
• Assisted in client meetings to gather requirements, define technical specifications, and address implementation concerns,
ensuring alignment with client needs and project objectives.
• Produced comprehensive reports on the installation and configuration of technologies like VMware and Docker,
streamlining deployment processes and enhancing technical documentation.

Utilized SQL and Python to collect, clean, and transform data from SQL databases, REST APIs, and CSV files, enabling detailed and accurate analysis.
Created data analysis and visualization strategies using Power BI and Tableau, including trend analysis and KPI tracking, which improved decision-making and reporting efficiency.
Assisted in client meetings to gather requirements, define technical specifications, and address implementation concerns, ensuring alignment with client needs and project objectives.
Produced comprehensive reports on the installation and configuration of technologies like VMware and Docker, streamlining deployment processes and enhancing technical documentation.

Leveraged Splunk to create KPIs, build dashboards, and monitor network performance, identifying trends and anomalies to optimize network efficiency.
Designed and implemented ETL processes using Python to automate the extraction, transformation, and loading of data from network logs into SQL databases, ensuring accurate and timely reporting.
Collaborated with cross-functional teams to design and implement data solutions, delivering actionable insights and enhancing overall project outcomes.
Analyzed voice call data with Tektronix for the Nuisance Call Filtering Project, contributing to significant improvements in call quality and customer satisfaction.
Managed and tracked project tasks and issues using JIRA, effectively collaborating with the team to resolve bugs and enhance system performance.

Leveraged Splunk to create KPIs, build dashboards, and monitor network performance, identifying trends and anomalies
to optimize network efficiency.
• Designed and implemented ETL processes using Python to automate the extraction, transformation, and loading of data
from network logs into SQL databases, ensuring accurate and timely reporting.
• Collaborated with cross-functional teams to design and implement data solutions, delivering actionable insights and
enhancing overall project outcomes.
• Analyzed voice call data with Tektronix for the Nuisance Call Filtering Project, contributing to significant improvements
in call quality and customer satisfaction.
• Managed and tracked project tasks and issues using JIRA, effectively collaborating with the team to resolve bugs and
enhance system performance.