Deepthi Vadla

Responsibilities:

• Network Performance Analysis:
  Monitored and evaluated critical network metrics to enhance overall infrastructure performance. Improved anomaly detection accuracy by 30% through proactive KPI tracking and real-time alerting mechanisms.
• SQL & Data Processing:
  Designed and optimized complex SQL queries for parsing and analyzing telecom network logs, resulting in a 40% reduction in troubleshooting time and faster data access across distributed systems.
• Predictive Analytics & Forecasting:
  Developed predictive models using Scikit-learn , XGBoost , and Time Series Analysis with over 85% accuracy to forecast network congestion, signal drops, and optimize capacity planning.
• Anomaly Detection & Security Monitoring:
  Implemented unsupervised learning algorithms such as Isolation Forest, DBSCAN, and Autoencoders to identify anomalies in traffic behavior, enhancing threat detection efficiency by 25%.
• Data Visualization & Reporting:
  Built interactive dashboards using Power BI and Tableau for real-time network performance monitoring. Enabled faster issue resolution and trend analysis by visualizing complex KPIs and alarm patterns.
• Cloud & Automation:
  Automated data pipelines and workflows using Azure Data Factory and PySpark , reducing manual intervention by 80% and decreasing ETL execution time by 50%.
• Optimization & Cost Efficiency:
  Diagnosed and resolved data pipeline performance issues, optimizing Spark jobs and storage usage, which led to a 20% reduction in overall cloud infrastructure costs.
• Cross-Functional Collaboration:
  Collaborated with network engineers, data scientists, and business stakeholders in an Agile environment to design scalable data solutions supporting cross-team initiatives.

Responsibilities:

• Acquired practical experience in analyzing network logs and deciphering crucial performance metrics to comprehend system dynamics.
• Actively participated in team meetings and brainstorming sessions to contribute valuable insights as a valued team member effectively collaborating across departments for optimum results.
• Developed skills in crafting SQL queries for data retrieval and constructed Power BI dashboards to visualize network traffic, identify trends, and aid in troubleshooting.
• Assisted in anomaly detection models to identify irregular traffic patterns and worked closely with engineers to understand troubleshooting techniques and network performance optimization.
• Documented and communicated database schemas using accepted notations.