Python Developer Machine Learning

Deepa Bangari

Python Developer

*****.*******@*****.*** 972-***-****

****, ********* ***, *******, **, 75454

Professional Summary

I am a results-driven Python Developer with 6 years of experience in building scalable, cloud-ready applications. I specialize in designing and deploying secure web solutions using Django, Flask, and FastAPI. I have hands-on expertise in AWS services, setting up CI/CD pipelines, and deploying containerized applications using Docker and Kubernetes. I also have a strong background in data manipulation, creating ETL pipelines, and integrating machine learning models using Pandas and Scikit-learn. I work closely with cross-functional teams to deliver clean, maintainable code and ensure projects are completed on time. I’m known for clear communication, a proactive approach, and the ability to quickly learn and adapt to new technologies.

Technical Skills

Languages: Python, Bash/Shell scripting, HTML, CSS, XML, SQL

Frameworks: Django, Flask, FastAPI, Angular, React

Cloud Platforms: AWS (EC2, S3, Lambda, RDS, IAM, CloudWatch, ECS, ELB)

Databases: MySQL, PostgreSQL, MongoDB, Microsoft SQL Server, Oracle

DevOps & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions, GitLab CI, Argo CD, Terraform, Ansible, Nginx, Apache

Data Tools: Pandas, NumPy, Scikit-learn, Apache Airflow, Jupyter Notebook, Matplotlib

Testing/Automation: PyTest, Unit Test, Postman, Swagger

Other Tools: JIRA, ALM, Git, IntelliJ IDEA

Operating Systems: Windows, Linux

Professional Summary

M&T Bank – Wilmington, DE

Python Developer June 2023 – Present

Project Description: Developing cloud-native financial applications to improve data processing, automate ETL workflows, and support real-time analytics. Focus on serverless architecture, secure API design, and scalable deployment across AWS environments.

Responsibilities:

Designed and implemented RESTful APIs using Flask to support financial data processing pipelines.

Built automated ETL workflows with Pandas and NumPy to transform and load large financial datasets.

Deployed scalable Python services on AWS EC2 and AWS Lambda for cost-efficient, serverless operations.

Configured AWS RDS for optimized database performance and reliable data storage across distributed systems.

Used Docker containers and Kubernetes orchestration to standardize deployments across multiple environments.

Developed React components for front-end interfaces and integrated them with Python Flask backends.

Implemented JWT-based authentication to secure user sessions and safeguard sensitive banking information.

Monitored application health using AWS CloudWatch, creating alerts and logs to speed incident resolution.

Automated build and release pipelines with Jenkins and GitHub Actions to streamline continuous delivery.

Wrote clean, reusable Python code following PEP 8 standards, improving maintainability and code reviews.

Environment: Python, Flask, AWS (EC2, Lambda, RDS, S3, IAM, CloudWatch), React, Docker, Kubernetes, Jenkins, GitHub Actions, Pandas, NumPy, Scikit-learn, Matplotlib, MySQL, Jira, Git, Windows, Linux, PyTest

Evernorth Health Services – St. Louis, MO

Python Developer Nov 2020 – May 2023

Project Description:

Developed healthcare data applications to automate claims analysis and enable predictive modeling for patient care.

Created robust APIs and machine-learning integrations to support real-time decision making.

Responsibilities:

Built Django and Flask APIs to process healthcare claims and deliver secure, real-time data services.

Applied Scikit-learn algorithms to analyze clinical data for predictive health-care outcome modeling.

Integrated SQL Alchemy with PostgreSQL to simplify database operations and maintain transactional integrity.

Utilized Pandas data frames to manage large datasets and perform high-speed data manipulation tasks.

Employed Beautiful Soup for web scraping to collect research data for analytics dashboards and reports.

Developed single-page Angular 9 applications for dynamic user interfaces linked to Python backends.

Used Bootstrap and custom CSS to create responsive, user-friendly healthcare application interfaces.

Leveraged PyTest for unit and integration testing, ensuring reliable code before production releases.

Automated data retrieval with Python Requests to streamline external API integrations and reduce latency.

Collaborated with cross-functional teams in Agile sprints to deliver new features on tight schedules.

Environment: Python, Django, Flask, Scikit-learn, Pandas, Angular 9, PostgreSQL, SQL Alchemy, MySQL, Beautiful Soup, Bootstrap, AJAX, PyTest, Jira, Agile, Windows, Linux

Cushman & Wakefield – New York, NY

Python Developer Nov 2018 – Sep 2020

Project Description:

Developed internal property management applications to streamline data analysis and automate reporting processes.

Enhanced system performance through multi-threading and optimized database access.

Responsibilities:

Built and maintained full-stack web applications using Django’s MVC architecture and Python services.

Created Python web services to process JSON data and interface efficiently with the application’s data layer.

Utilized Beautiful Soup to scrape and parse web content for real estate market analysis and reporting.

Implemented multi-threading in Python applications to improve performance for data-intensive operations.

Used Pandas and NumPy for statistical modeling and complex numerical analysis of property data.

Configured Django URL routing and application parameters for scalable module-based development.

Executed MySQL queries using Python connectors to fetch and manipulate transactional property records.

Integrated PyTest for unit testing and automated code verification to maintain high software quality.

Performed debugging and troubleshooting to resolve critical issues and optimize application performance.

Collaborated closely with project managers and stakeholders to deliver features on agreed timelines.

Environment: Python, Django, Pandas, NumPy, Beautiful Soup, PyTest, MySQL, HTML, XML, Windows, Linux

Education

Master of Computer Science – Raja Bahadur Venkata Rama Reddy Institute of Technology, Hyderabad

Bachelor of Science – DBPM College, Hyderabad

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