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 weapon violations, verbal violations, and so on.• 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 stakeholder requirements and business objectives.• 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.• Crafted clear and insightful data visualizations and dashboards via PowerBI, effectively translating complex data into actionable insights for non-technical stakeholders.• Developed a real-time monitoring system with Apache Kafka to track activities across various video conferencing platforms, exemplifying knowledge in streaming data processing and real-time analytics.• Led a cross-functional team to deploy predictive models into production using Docker, showcasing software development skills, and understanding of containerization concepts.• Managed AWS cloud resources, demonstrating proficiency in cloud platforms and handling of distributed storage and computational needs.

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.• Developed real-time monitoring and anomaly detection capabilities using Tableau, enabling stakeholders to get real-time insights and detect any issues in a timely manner.• Fostered collaboration with the data science team, providing them with structured, clean data suitable for advanced analytics and predictive model development.• Leverage AWS services like EMR, Glue, and Step Functions to design and implement data ingestion processes and pipeline architectures, resulting in a streamlined data flow across different sources.• Adhered to strict data governance protocols and maintained the highest data security standards, protecting sensitive data's integrity and confidentiality.• Proactively identified and resolved data discrepancies and other issues affecting data quality and consistency, thereby minimizing data-related errors in analytical reports.

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 transformation tasks.• 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 insightful reports on test outcomes.• 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.• Assisted in the interpretation of analytics results, drafting clear reports outlining the findings and their implications on business strategies.• Engaged in regular team meetings, effectively communicating the insights derived from the data to the team, improving collaboration and shared understanding.• Created compelling data visualizations using Tableau and Power BI, presenting intricate data in an easily comprehensible format to non-technical stakeholders.• Continuously monitored and updated data dashboards and reports, ensuring stakeholders had access to the most recent data.• Complied with all data privacy regulations and internal data governance guidelines, preserving the trust of the client and the company.