Shravan Reddy N Email & Phone Number

Jacksonville, FL, US

Santa Clara, California, United States

• Collaboration with Stakeholders: You collaborated with both the client and internal stakeholders to understand the challenges associated with different types of violations in video conferencing platforms, including.
• Engaged in active collaboration with internal and client stakeholders on the 'ConfSec' project, a security initiative for video conferencing platforms like Zoom and WebEx, demonstrating a clear understanding of.
• Conducted comprehensive data management tasks, including cleaning, preprocessing, and analysis of complex video and audio log datasets using Python and associated libraries like Pandas and NumPy.
• Developed predictive machine learning models using TensorFlow to identify potential security violations in video conferences, effectively translating business problems into data-driven solutions.
• Utilized MongoDB for executing optimized database queries, leading to efficient data extraction and management, underlining core Data Engineering competencies.
• Built robust ETL pipelines using Apache Beam and Airflow, facilitating seamless data flow from multiple sources to the analytics systems, a key process in data warehousing and data integration tasks.

Jacksonville, Florida, United States

• In the 'Data Sync' project, a large-scale data integration initiative, conducted comprehensive requirement gathering sessions with various stakeholders to fully understand their data needs and the current data landscape.
• Designed and developed robust data pipelines using Apache Spark for ETL operations, integrating disparate data sources into a unified data warehouse, demonstrating a fundamental competency in data engineering.
• Regularly interacted with SQL and NoSQL databases, highlighting the versatile skills required to work with structured and unstructured data, and to utilize each database's capabilities effectively.
• Utilized AWS Redshift for the creation of a scalable data warehouse, ensuring the infrastructure's resilience in handling the company's evolving data needs.
• Extensively used Python and PySpark for data preprocessing tasks, which included data cleaning, transformation, and quality enhancement.
• Incorporated real-time data into the data warehouse using stream processing tools like Apache Kafka and Flink, demonstrating an understanding of real-time analytics and data processing.

Hyderabad, Telangana, India

• Assisted in the extensive collection and preprocessing of data from numerous marketing campaigns in 'MarketBuddy' project, ensuring data integrity, accuracy, and consistency through data cleaning, normalization, and.
• Participated in thorough exploratory data analysis (EDA), performing statistical analysis and applying machine learning algorithms to identify patterns, trends, and correlations in the data.
• Collaborated with senior analysts to design and implement A/B tests to assess the effectiveness of different marketing strategies, including setting up test parameters, collecting and analyzing data, and generating.
• Used Python and libraries like Pandas and NumPy for advanced data manipulation and analysis, transforming raw data into structured formats suitable for further examination.
• Utilized SQL for complex query writing to fetch specific data subsets from large databases, aiding in detailed data analysis.
• Contributed to the 'Forecaster' project, developing predictive models using machine learning techniques, which enhanced the company's ability to predict marketing campaign outcomes.