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Python Developer Machine Learning

Location:
Lewisville, TX
Salary:
70000
Posted:
December 04, 2024

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Resume:

LAKSHMAN MATTA

Python Developer

Pittsburgh, PA 214-***-**** ********.*@***********.*** LinkedIn GitHub Summary

Python developer with 3+ years of experience in crafting high-performance applications and RESTful APIs. Expertise in optimizing data pipelines, refactoring legacy systems, and implementing cloud-based microservices. Skilled in leveraging Django, Flask, and AWS to drive healthcare data integration and analysis. Committed to code quality through rigorous testing and review processes. Proficient at applying agile methodologies to deliver value in fast paced environments, balancing technical excellence with business objectives. Skills

Methodologies: SDLC, Agile (Scrum, Kanban), Lean, Waterfall Programming Languages: Python, SQL, R, HTML, CSS, JavaScript Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn Web Frameworks: Django, Flask, FastAPI

Machine Learning Algorithms: Decision Trees, Logistic Regression, K-Nearest Neighbors (KNN) Databases: SQL Server, PostgreSQL, MySQL, MongoDB, DynamoDB Data Visualization: Tableau, Power BI, Excel

Version Control: Git, GitHub

Cloud Platforms: AWS (Glue, EC2, S3, Lambda, Redshift), Azure, Google Cloud Platform, Snowflake DevOps and Testing: Jenkins, Docker, Kubernetes, CI/CD pipelines, Pytest, Unittest API Development: RESTful APIs, GraphQL

IDEs: Visual Studio, PyCharm, Jupyter Notebook

Soft Skills: Problem Solving, Collaboration with cross functional teams, Communication, Attention to detail Work Experience

Humana, Pittsburgh Python Developer August 2023 - Current

• Engineered high-performance Python applications using Django and Flask, optimizing core algorithms to reduce processing time, developed and maintained RESTful APIs improving data integration for 3 critical healthcare systems, increasing data accuracy for patient care decisions.

• Designed efficient data pipelines and analytics platforms using Python libraries (NumPy, Pandas) and cloud services (AWS Glue, S3) to process over 5TB of healthcare data, visualize insights with Tableau, and enable data-driven decision-making.

• Optimized data retrieval and storage processes by utilizing SQL for structured patient data and DynamoDB for real-time event tracking, improving query response times and enhanced scalability for high-volume healthcare transactions.

• Collaborated with cross-functional teams to modernize legacy systems, refactoring over 100,00 lines of code and migrating to cloud-based microservices architecture (AWS EC2, Lambda) using Docker and Kubernetes, improving system reliability.

• Deployed robust testing strategies using Pytest, achieving 90% code coverage, and conducted thorough code reviews in GitHub to ensure high- quality, secure code that meets healthcare industry standards and regulations, reducing critical bugs in production.

• Leveraged agile methodologies (Scrum, Kanban) and Python's extensive ecosystem to iteratively deliver value, adapting to changing requirements and continuously improving development practices using CI/CD pipelines (Jenkins), increasing time-to-market for new features in rapidly evolving technological landscape.

Vivma Software Inc, India Python Developer January 2021 – December 2022

• Built robust server-side logic for web applications using Django, collaborating with cross-functional teams to implement features that increased user engagement by 1,500 monthly active users.

• Designed and implemented RESTful APIs using FastAPI, facilitating seamless integration between systems and databases like PostgreSQL and MongoDB, reducing data retrieval time.

• Led version control practices using Git and conducted regular code reviews, improving team collaboration and overall code quality.

• Applied automated testing strategies with Pytest, enhancing software reliability and reducing production bugs by 30%. contributed to CI/CD pipeline optimization, cutting deployment time in half and enabling more frequent releases.

• Overcame performance bottlenecks in a data-intensive application by refactoring code, improving processing speed, leveraged NumPy and Pandas to streamline data analysis workflows, reducing report generation time from hours to minutes. Education

Master of Science in Information Systems Dakota State University May 2024 Bachelors of Science in Computer Science Malla Reddy College of Engineering and Technology July 2022 Projects

Visualizer (Data Visualization and Machine Learning Tool Development): Developed "Visualizer," a comprehensive data analysis application, as part of a final semester project, implemented features for generating plots, graphs, and predictive analytics from user-uploaded datasets, integrated machine learning algorithms including decision trees, logistic regression, and KNN for classification tasks. Created a user interface for dataset uploading, visualization generation, and ML model utilization. Incorporated functionality to produce exploratory data analysis (EDA) reports for non-technical users, utilized Python, Power BI, and Tableau to deliver actionable insights in real-world scenarios. Successfully completed the project within a challenging two-week timeframe. Virtual Paint Application using Computer Vision: Built a real-time virtual paint application using Python and OpenCV, leveraging webcam input for interactive drawing, applied color masking and contour detection algorithms to track a physical object (e.g., Rubik's cube) as a virtual paintbrush, utilized computer vision techniques for object tracking, enabling smooth and accurate drawing on a digital canvas, integrated real-time image processing and rendering capabilities to create a responsive user experience. Demonstrated proficiency in video tracking, contour detection, and OpenCV's image processing libraries, successfully combined theoretical knowledge of computer vision algorithms with practical Python programming skills. Created an innovative interface bridging physical object manipulation with digital art creation. Certifications

Agile Software Development: Agile Development Life Cycle Agile Software Development: Agile Project Management Agile for Software Development: Lean, Agile, & Scrum Advanced SQL Queries Project Management: Scrum Framework for Software Development SQL Concepts & Queries



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