Developed a document verification system enabling candidates to upload essential documents for identification. Overcame challenges with OCR integration and custom algorithms for accurate context matching.Developed a document verification system using Flask integrating OCR for text extraction and context-matching algorithms.Utilized technologies such as Flask Python Pytesseract SQLAlchemy and EasyOCR to overcome technical challenges and achieve satisfactory accuracy in text extraction and context matching.

Health indicators ranking and scores are being tracked with the help of monthly reports ad hoc analysis and monthly bulletin.Played a key role in the ongoing development of the UP Health portal focusing on implementing new features debugging existing code and performing maintenance tasks to ensure smooth operation.Mentored junior developers providing guidance and support to resolve technical issues and improve coding practices.Leveraged Python Pandas Python Gramex framework and MySQL for data processing and management.Developed and implemented Python scripts to automate tasks and streamline data workflows contributing to the efficiency of data retrieval and analysis processes.

Led the development utilizing Django REST Framework and PostgreSQL for backend solutions.Enhanced chatbot comprehension and responsiveness with Rasas NLP capabilities.Ensured seamless integration with front-end developers and employed iterative methodologies for optimization.Leveraged technologies including Django REST Framework PostgreSQL Rasa Python AWS services (EC2 S3) and MySQL for efficient development.

CarbonX is a sophisticated SaaS platform enabling enterprises to monitor emissions simulate intervention impact and devise comprehensive decarbonization strategies.Integrated with 3SCs SCAI technology it optimizes supply chain emissions visibility streamlines carbon accounting and offers tailored intervention recommendations.Developed robust backend solutions using Python Django REST Framework ORM and PostgreSQL.Leveraged AWS services including EC2 SES and S3 for reliable hosting email communication and secure storage.Integrated API Gateway and third-party APIs to enhance platform functionality and user experience.Wrote Python scripts and set up cron schedulers for automated tasks and scheduled operations.

Reallo is a revolutionary rental application offering seamless property search and management.Designed and implemented crucial APIs for mobile apps and the web admin portal.Integrated third-party services such as RentPrep and the Stripe payment gateway.Leveraged Python Django REST Framework ORM AWS EC2 SES S3 and PostgreSQL for backend development.Contributed to enhancing user experience and ensuring a smooth rental journey for both renters and landlords.

Amaze is a comprehensive travel app that allows users to plan book and pay for all their travels in one place. It helps users discover new ways to travel and enhances liveability in cities.Played a significant role in the development of the Amaze app overseeing the management of APIs and business logic using Python Django Rest Framework ORM PostgreSQL and AWS services.Integrated microservices dedicated to pricing payment voucher portal mobility budget and utilities ensuring a modular and secure architecture.Integrated Buckaroo payment method along with other third-party APIs to enhance payment processing and user experience.Utilized AWS services such as EC2 SES S3 and API Gateway for scalable infrastructure and seamless integration.Employed Git for version control to track and manage code changes effectively.Defined precise API specifications and diligently maintained comprehensive documentation throughout the development process.Implemented agile methodologies to facilitate efficient project management and adaptation to changing requirements.

Clear Nutrition is a personalized nutrition program that allows users to track their diet nutrition intake and exercise providing insights and advice for a healthier lifestyle.Led the development of the app utilizing Python-based APIs MySQL and AWS services for efficient data flow and scalability.Employed Django REST Framework for backend development and seamless API integration.Managed project tasks using Jira and implemented REST APIs for frontend-backend communication.

Clovia is a rapidly growing e-commerce brand specializing in lingerie providing a fast optimized and secure shopping experience with high-quality fashion-forward products.Worked as an Associate Software Developer focusing on proof of concepts (POC) debugging and issue resolution.Contributed to backend development using Python Django and PostgreSQL.Ensured a secure and optimized shopping experience for users.

It’s a known fact that older the wine, better the taste. However, there are several factors other than age that go into wine quality certification which include physcicochemical tests like alcohol quantity, fixed acidity, volatile acidity, determination of density, pH and more. The main goal of this project is to build a machine learning model to predict the quality of wines by exploring their various chemical properties. Wine quality dataset consists of 4898 observations with 11 independent and 1 dependent variable.

Data Set Information:

The dataset was downloaded from the UCI Machine Learning Repository.

These datasets can be viewed as classification or regression tasks. The classes are ordered and not balanced Outlier detection algorithms could be used to detect the few excellent or poor wines. Also, we are not sure if all input variables are relevant. So it could be interesting to test feature selection methods.