Lokendra Singh

Conducted data mining, data modeling, statistical analysis, business intelligence gathering, and benchmarking. Implemented new procedures resulting in annual cost savings of $3.5M by analyzing 11 current business processes and identifying areas for improvement. Built multiple Power BI dashboards using standard visualization for analytics with Azure Blob Storage serving as the data source which dramatically boosted efficiency by saving up to 600% in operational time and cutting costs by approximately $60,000. Built and maintained database systems on AWS Cloud, leveraging Python and SQL for warehousing solutions, ETL processes, and machine learning algorithms. Leveraged Python and PySpark to construct an Operations Intelligence tool for Supply Chain Intelligence. This tool facilitated data manipulation and valuable insights on PwC's insights platform, also provided a solution for clients, leading to a significant reduction in time spent on tasks. Built Pricing API for AWS Cloud which allowed for seamless, real-time analysis of pricing information on AWS products and services, significantly enhancing decision-making capabilities and operational efficiency.

Worked within the development team to extract insights from raw data, utilizing Hadoop and its HDFS as the Big Data storage platform. Analyzed data using an automated Scala script in the Spark environment and performed batch processing using Kafka Streaming services, resulting in valuable insights.