Devika Kanuri Email & Phone Number

Buffalo Grove, Il, Us

Texas, United States

• Leveraged Python scripting for data extraction, transformation, and loading (ETL), streamlining the migration workflow and optimizingdata compatibility between SQL Server and AWS.• Envisioned and developed data driven reports and dashboards and presented to the leadership team using Tableau.• Used Redshift to Extract, load and transform big data from various heterogenous data sources like AWS S3, API, Teradata to different destinations.• Developed and maintained documentation for data models, processes, and workflows, facilitating knowledge transfer within the team.the organization• Designed and implemented data models and schemas for both relational and NoSQL databases such as PostgreSQL, MongoDB,and Cassandra, optimizing for performance and scalability.• Optimized and maintained databases to enhance overall data quality, performance, and reliability.• Established stringent data quality checks and automated validations, ensuring data accuracy and integrity.• Developed automated process for code builds and deployments using Python.• Implemented version control and best practices in code management for data engineering workflows, enhancing collaboration andcode maintainability.• Integrated Apache Kafka for real-time data processing, enhancing the handling of large-scale data sets.• Deploy machine learning models into production environments.• Evaluate the performance of machine learning models using appropriate metrics.• Work on data preprocessing, feature engineering, and model evaluation.• Optimize model parameters and hyperparameters using techniques like cross-validation and grid search.• Collaborate with software developers to create APIs and microservices for model deployment.• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.• Conduct feature engineering to extract relevant features from raw data.• Perform model selection and comparison to choose the best-performing model for the given problem.

Ahmedabad, Gujarat, India

• Actively participated in all research phases, encompassing Data Collection, Cleaning, Mining, Model Development, and Visualization.• Successfully migrated data infrastructure to AWS, enhancing scalability and reliability while ensuring secure data transferprocesses.• Worked closely with data scientists and analysts to design custom ETL processes, supporting advanced analytics and predictivemaintenance initiatives.• Implemented stringent data quality checks and automated validation processes to guarantee data accuracy and reliability.• Maintained strict adherence to data security standards, complying with regulations like GDPR and HIPAA.• Led cross-functional projects, achieving a 15% improvement in data-driven decision-making efficiency.• Utilized Agile and SDLC methodology to deliver end to end continuous integration/ continuous delivery (CI/CD) pipeline by integrationof tools like Jenkins and AWS for VM provisioning.• Implemented robust data quality checks and orchestrated data workflows using AWS Glue, Lambda, and Data Pipeline for ensuringaccuracy, real-time processing, and timely delivery.• Used the best algorithm and parameters to implement, adjust, and test the model on AWS EC2.• Successfully handled data migration projects, ensuring seamless transition between different data storage solutions, and maintainingdata consistency.• Develop and deploy machine learning models.• Utilize machine learning libraries such as Scikit - Learn, TensorFlow, and Keras.• Perform data preprocessing tasks, including data cleaning, transformation, and normalization.• Handle missing data, outliers, and noisy data to ensure the quality of the dataset

Master'S Degree, Computer And Information Sciences, General, 3.4

Bachelor'S Degree, Computer Science, 7