Anju Mohan

Hey there 👋, I’m Anju!

Glad to see you here!

I’m Anju, a Senior backend engineer with application and data pipeline experience for Cigna Insurance with Mastech Digital

My profile summary

As a results-driven Senior Software Engineer, my expertise lies in backend design, development, and agile methodologies. I have a proven track record of successfully delivering intricate projects and optimizing performance. My hands-on experience encompasses designing and developing data-driven backend pipelines and application systems using Java/J2EE technologies, cloud technologies, Spring Boot, Microservices, Apache Kafka, and containerization tools like Openshift Kubernetes.

My passion extends to understanding and solving problems within the big data and machine learning domains. I bring valuable experience in Supervised learning, Unsupervised learning, and Reinforcement learning, gained through involvement in academic research projects. Proficient in Python, Numpy, Sklearn, Pandas, and various Machine Learning tools, I am dedicated to driving innovation and contributing expertise to both software development and machine learning realms.

I excel in seamlessly transitioning into the field of machine learning, leveraging my strong foundation in software engineering. My goal is to contribute to groundbreaking solutions, bridging the gap between software development and the exciting realm of machine learning.

Connect with me on LinkedIn for discussions on comprehending, exploring, and resolving challenges in the realm of data.

DataEngineering project - Netflix movies pipeline

This project is about Netflix movie data analysis. This project looks at the Netflix movie data and recommends good movies for the users. The recommendations for the movies are based on movie ratings and also on the number of votes made by other users. The recommendations also provide suggestions on top movies by genre.

Technologies used

DAG/Pipeline - Mage AI

Transformation - Pyspark jobs

Resource creation - Terraform

Cloud - GCP

Languages and Tools:

• Programming Languages: Java, Node.js, Go, Python
• Frameworks: Spring Boot, Kafka streams, and connectors
• Web Technologies: SOAP and REST APIs, OpenAPI Swagger
• Cloud and Infrastructure: AWS (S3, Lambda, VPC, KMS, IAM, API Gateway, Step Functions, SQS, SNS, DynamoDB, DocumentDB, RDS, Cloudwatch, EC2), Cloud Formation, Terraform
• Database Technologies: SQL Server, MongoDB, Oracle DB, PostgreSQL, SQL, Stored Procedures
• Machine Learning: Python Libraries (NumPy, pandas, scikit-learn, Keras, Tensorflow), ML/RL Algorithms (Decision Tree, k-NN, Q-Learning), Jupyter Notebook, Anaconda, AWS Sagemaker, AWS Glue, AWS Kinesis
• Development Tools: Eclipse, IntelliJ, VS Code, Spring Tool Suite, PyCharm
• Build, Deployment & Version Control: Maven, CI/CD, Jenkins, GitLab
• Containerization and Orchestration: Docker, Kubernetes, OpenShift
• Agile Methodologies: Scrum/Kanban, Jira, Confluence
• Security Tools: Veracode, Checkmarx, SonarQube
• API Testing: Postman, SOAP UI, Mockito, TestNG, JEST, Cucumber BDD
• Data Formats: CSV, XML, JSON, XSD
• Logging and Monitoring: Log4j, Splunk indexing, Tableau reports