Vinesh D

Python Developer

• Developed and maintained scalable web applications using Django and Flask, delivering user-friendly features to improve customer satisfaction by 25%
• Designed and implemented RESTful APIs for integration with third-party services, supporting efficient data exchange
• Collaborated with cross-functional teams, including front-end developers, designers, and QA testers, to deliver high-quality products on time

projects:

Inventory Management System

• Built a Django-based inventory management application that automated inventory tracking and generated detailed reports, reducing manual effort by 40%.
• Used PostgreSQL for data storage and Celery for background task management.
• Deployed the solution on AWS EC2 for scalability.
• Implemented user authentication and role-based access control to ensure data security.
• Designed a REST API for seamless integration with external systems.
• Created detailed inventory reports using Matplotlib for data visualization.
• Developed custom modules to handle supplier and customer relationships.
• Used Django Admin for easy management of inventory data.
• Optimized database queries to enhance application performance by 30%.
• Integrated notifications using AWS SNS to alert users of low stock levels.
• Utilized Docker to containerize the application for consistent deployment across different environments.

Customer Feedback Platform

• Developed a Flask-based feedback collection system with sentiment analysis features, allowing better decision-making for client services.
• Integrated Pandas and NumPy for data analysis and Matplotlib for visualization.
• Utilized AWS Lambda for serverless processing of feedback data.
• Built a natural language processing (NLP) model to analyze customer sentiment.
• Deployed the platform using AWS Elastic Beanstalk for ease of scaling.
• Implemented user-friendly forms for feedback submission using Flask-WTF.
• Added authentication using Flask-Login to secure the platform.
• Created detailed sentiment analysis reports for better insights.
• Enabled CSV export functionality for easy data sharing.
• Used AWS S3 for storing collected feedback securely.
• Developed an admin dashboard for managing feedback submissions.

• Created and maintained backend services for web applications using Flask and Django REST framework.
• Optimized SQL queries and database operations, enhancing system performance by 30%.
• Automated data processing pipelines to streamline daily business operations, reducing manual workloads by up to 50%

projects:

Data Processing Pipeline

• Designed an automated data extraction and processing pipeline using Pandas and SQLAlchemy, handling large datasets from multiple data sources, significantly improving data accuracy.
• Deployed the solution on AWS EC2 instances and used S3 for storage.
• Implemented data validation to ensure data quality and integrity.
• Used AWS Lambda to automate periodic data extraction tasks.
• Developed error handling and logging mechanisms for better monitoring.
• Optimized data processing speed by using parallel processing techniques.
• Integrated notifications using AWS SNS for pipeline status updates.
• Built a web interface using Flask to monitor pipeline status.
• Created data transformation scripts to standardize incoming data.
• Deployed CloudWatch metrics to monitor pipeline performance.
• Used Jenkins for continuous integration and delivery of pipeline updates.

Task Management Tool

• Developed a task management web application using Django, which enabled teams to track project milestones and tasks.
• Implemented role-based authentication and RESTful APIs for efficient data management.
• Hosted the application on AWS RDS and EC2 for reliability and scalability.
• Designed a responsive front-end using Bootstrap for better user experience.
• Used Celery for background task scheduling and notifications.
• Created a reporting module to generate weekly progress reports.
• Integrated with Slack API for task notifications.
• Implemented PostgreSQL as the database backend for robustness.
• Set up email notifications using SMTP for overdue tasks.
• Developed REST APIs for integration with other project management tools.
• Deployed the application using Docker to ensure consistency across environments.

• Assisted in building and maintaining Python applications, including developing data-driven solutions using Pandas and NumPy.
• Worked with senior developers to improve code quality and ensure adherence to best practices.
• Conducted testing and debugging, ensuring smooth deployment of updates and new features.

projects:

Web Scraping Tool

• Created a Python-based web scraping tool using BeautifulSoup and Scrapy to collect market data, providing valuable insights for marketing campaigns.
• Scheduled scraping tasks using AWS Lambda for periodic data collection.
• Implemented data cleaning functions to improve data quality.
• Stored scraped data in AWS S3 for long-term storage.
• Created a retry mechanism to handle website downtime.
• Used SQLAlchemy to store data in a relational database.
• Built a monitoring dashboard to track scraping progress.
• Integrated email notifications for task completion and error alerts.
• Utilized Rotating Proxies to prevent IP bans while scraping.
• Implemented BeautifulSoup for HTML parsing and data extraction.
• Created CSV and JSON export options for data sharing.

E-commerce Analytics Dashboard

• Developed a data visualization dashboard using Matplotlib to provide business intelligence insights for an e-commerce client, helping them make data-driven decisions.
• Enabled real-time data updates using Django Channels and hosted on AWS S3.
• Used Pandas to clean and preprocess sales data for analysis.
• Designed interactive charts for better data exploration.
• Integrated Google Analytics API to collect traffic data.
• Created filters for category-wise sales analysis.
• Used AWS RDS for managing sales data storage.
• Implemented user authentication to restrict access to reports.
• Built scheduled data extraction using Celery for timely updates.
• Developed a feature to export dashboard data as PDF reports.
• 
  
• Used Bootstrap for a responsive UI to enhance user experience.