Lokesh Reddy

About Lokesh Reddy

I am a highly skilled and motivated data analytics professional with a Master\'s degree in Data Analytics Engineering. I am passionate about using data-driven insights to solve complex problems and drive business success. Skills: Programming: I am proficient in SQL, Python, and R, and have hands-on experience in developing data-driven solutions using these programming languages. Statistics: I have a solid understanding of statistical techniques, including regression and econometric modeling, which I apply to analyze market trends and derive actionable insights. Big Data: I have experience working with PySpark and Azure Databricks for processing and analyzing large data sets, enabling me to handle big data efficiently. Visualization: I am skilled in using Power BI to create immersive and interactive data visualizations that effectively communicate complex insights to stakeholders. With a Master\'s degree in Data Analytics Engineering and a diverse skillset in programming, and statistics, I am well-equipped to tackle complex data challenges and provide valuable insights to drive business success. I am a proactive and results-driven professional, eager to make a meaningful contribution to the field of data analytics through innovative solutions and collaborative efforts.

Experience

1. Software Engineer (Ai Ml)

   John Marshall Bank

   Dec 2023 — Present

   Developed and deployed machine learning models using Python, TensorFlow, and Scikit-learn to enhance predictive capabilities.• Applied data mining techniques to extract valuable insights and performed feature engineering to improve model performance.• Implemented end-to-end machine learning solutions, including data preprocessing, feature engineering, model training, and deployment using AWS SageMaker.• Implemented real-time data processing and event-driven architecture using Kafka and Spark to handle live data streams.• Conducted A/B testing and applied reinforcement learning to evaluate and refine machine learning models for better accuracy.• Ensured data privacy and compliance by applying best practices and regulations in data management and processing.• Developed APIs for machine learning models using AWS API Gateway and Lambda functions, enabling real-time predictions and integrations with other applications.• Created and managed interactive dashboards and reports using Tableau to visualize data insights and support decision- making.• Developed and maintained Databricks notebooks for data analysis and model development, integrating with Snowflake for data storage.• Applied MLOps practices to automate production deployment, monitoring, and management of machine learning models.• Designed data integration solutions to connect diverse data sources and streamline data access across platforms.

Education

• Anurag Group of Institutions

  B.tech

  2017 — 2021

• George Mason University

  Master's degree

  2022 — 2024