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Click here or scroll down to respond to this candidate Candidate's Name
Python Developer
Beltsville, MD | PHONE NUMBER AVAILABLE | EMAIL AVAILABLE
SUMMARY
Python Developer with 4+ years of experience in developing and deploying scalable software solutions.
Adept at using various methodologies, including SDLC, Agile, and Waterfall, to manage projects from conception to completion.
Skilled in multiple programming languages like Python, JavaScript, and SQL, and proficient in web development with frameworks
like Django, Flask, and Fast API.
Knowledge of database management with PostgreSQL, MySQL, and MongoDB, and hands-on experience with DevOps tools like
Docker, Kubernetes, and Jenkins for continuous integration and deployment.
Proficient in cloud platforms such as AWS, and Azure, with a strong focus on microservices architecture and serverless computing.
Good communication skills, teamwork, problem-solving, critical thinking, and time management. Capable of leading teams,
mentoring junior developers, and collaborating with cross-functional stakeholders to deliver high-quality software products.
SKILLS
Methodology: SDLC, Agile, Waterfall
Programming Languages: Python, JavaScript, SQL, HTML5, CSS3, Bash, Shell Scripting
Frameworks & Libraries: Django, Flask, FastAPI, Pyramid, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn
Web Development: React, Angular, Vue.js, JQuery, Bootstrap, RESTful APIs, GraphQL
Database Management: PostgreSQL, MySQL, MongoDB, SQLite, Redis
DevOps & CI/CD: Docker, Kubernetes, Jenkins, GitLab CI/CD, GitHub Actions
Cloud Platforms: AWS (Lambda, EC2, S3), GCP (BigQuery, Cloud Functions), Azure (Functions, Blob Storage)
Development Tools: Git, GitHub, Jupyter Notebook, PyCharm, Visual Studio Code
Testing Frameworks: Pytest, Unittest, Selenium
Soft Skills: Communication, Teamwork, Problem-Solving, Critical Thinking, Time Management
Operating Systems: Linux, Windows, macOS
WORK EXPERIENCE
Centene, USA | Python Developer June 2023 - Current
Participated in Agile ceremonies including daily stand-ups, sprint planning, and retrospectives to ensure effective team collaboration
and project delivery.
Created dynamic user interfaces with JavaScript, utilizing frameworks like React and Angular, and styled with HTML5 and CSS3.
Utilized Django's ORM (Object-Relational Mapping) to interact with relational databases, maintaining data integrity.
Performed data analysis using Pandas and NumPy, manipulating large datasets, and generating insights to support business
decisions.
Wrote complex SQL queries to retrieve, insert, update, and delete data in MySQL, optimizing for performance.
Developed Docker containers for Python applications, creating Docker files to ensure consistent build environments across multiple
systems.
Automated the deployment of Python applications on EC2 using Infrastructure as Code tools like AWS CloudFormation.
Collaborated with cross-functional teams, including product managers, designers, and QA engineers, to ensure smooth project
execution.
Magna Infotech, India | Python Developer June 2019 - July 2022
Followed the Waterfall approach for projects with defined stages, ensuring clear documentation and adherence to project timelines.
Developed Bash scripts for automating repetitive tasks, such as data backups, server maintenance, and code deployment.
Built back-end services with Pyramid and Flask, integrating with various data sources and third-party APIs.
Designed and implemented machine learning models using TensorFlow and PyTorch for tasks such as image recognition, natural
language processing, and predictive analytics.
Developed RESTful APIs to support web application functionality, ensuring secure and efficient data communication.
Established data models for MongoDB to support unstructured and semi-structured data requirements.
Configured and managed Kubernetes clusters to ensure high availability, scalability, and fault tolerance.
Integrated Azure Blob Storage with other Azure services, such as Azure Functions and Azure Logic Apps, to build robust data
processing workflows.
Designed and implemented Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins and GitLab CI/CD to
automate the build, test, and deployment processes.
CERTIFICATIONS
Python Essential Training - LinkedIn.
Advanced SQL for Data Science - LinkedIn.
Machine Learning with Python - LinkedIn.
Cleaning Bad Data - LinkedIn.
EDUCATION
Master in Data Science | Wichita State University, Wichita, KS
Bachelor in Electronics and Communication Engineering | R.V.R. & J.C. College of Engineering, India
PROJECT
Season Adjustment of House Prices
This Project is to analyze data from 11years Federal Home Loan Banks spanning 2009-2022 to understand housing market
trends and the impact of house price levels on seasonal adjustments, resulting in 79% of accuracy predictions on house prices.
Used ARIMA forecasting Method and trend analysis of LTV ratios, found Hidden patterns in the Data and visual representations
of house price trends and a comparison between actual and predicted values from the ARIMA model.
Performed extensive feature engineering and data preprocessing, Explore various machine learning techniques.
Created Dashboard and plots in Power BI with enriched features.
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