Deepak Reddy

Data Analyst

Cognizant Technology Solutions • Aug 2022 - Present

• Applied data analysis techniques to extract and analyze data from various sources (CSV, JSON, REST APIs), identifying key trends and providing insights that led to a 14% improvement in process efficiency.
• Developed and implemented interactive dashboards using data visualization tools like Grafana to track key performance indicators (KPIs), automating reporting processes and reducing manual effort by 40%.
• Automated ETL processes for data cleaning and transformation using scripting languages such as Python (with Pandas), reduced processing time by 40% and ensured data quality.
• Analyzed GitHub branching patterns across 30+ repositories, identifying merge bottlenecks and improving branch integrity by 35%.
• Managed the planning, execution, and reporting of ARES software quality metrics, leveraging Neo4j for data analysis and Grafana for visualization, contributing to a 15% improvement in project delivery timelines.
• Examined patterns and trends in large datasets across multiple sources, identifying key bottlenecks and contributing to a 30% improvement in data integrity.
• Optimized key lead time metrics by 12% through in-depth analysis of relevant data points and providing data-driven recommendations for process optimization.

Yelp Data Analytics

• Engineered data processing pipelines using PySpark to handle large-scale Yelp business datasets with 1 million records, optimizing query performance and reducing processing time by 60% through distributed computing frameworks.
• Conducted comprehensive market analysis across 50+ cities and 3 business categories, identifying 12 underserved markets with high growth potential through statistical correlation analysis.
• Automated workflows for data cleaning and standardization using regex patterns, reducing data inconsistencies by 70% and ensuring high-quality datasets for downstream analysis.

CRM Data Analytics

• Analyzed multi-table CRM datasets with 8,800+ sales opportunities across 85 accounts to identify revenue optimization opportunities, utilizing advanced SQL techniques including window functions, CTEs, and complex joins to derive actionable business insights
• Developed comprehensive sales performance metrics including win rate analysis, pipeline velocity calculations, and cohort-based customer acquisition tracking, resulting in data-driven recommendations for improving sales team effectiveness by 15-25%
• Executed advanced data analytics projects using MySQL to create cross-sell effectiveness matrices, deal abandonment risk scoring models, and multi-touch attribution analysis across 4 interconnected datasets spanning products, accounts, sales pipeline, and team structures

Formula 1 Dashboard

• Developed and deployed an interactive Formula 1 dashboard, integrating track and driver statistics, resulting in a 30% reduction in report generation and analysis.
• Designed and implemented over 15 key performance indicator (KPI) visualizations within the F1 dashboard, providing immediate insights into lap times, Pole to Win Ratio, and Driver Wins.