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Schedule Interview NowKeval S. Python, AWS and Data Engineering
My name is Keval S. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Beautiful Soup, SQL, Scrapy, Data Scraping, pandas, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Movie Recommender System, Property Scout: Real Estate Analysis Tool, Emotion Detection Using CNN: Uncovering Emotions from Images, Market for Wellness, Web scrapping. I am based in Rajkot, India. I've successfully completed 5 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
Main technologies
Python, AWS and Data Engineering
5 years
Beautiful Soup
4 Years
SQL
4 Years
Scrapy
3 Years
Additional skills
Direct hire
Potentially possible
Previous Company
Amazon India
Experience Highlights
Movie Recommender System
The Movie Recommender System is a Python project that offers personalized movie suggestions using collaborative and content-based filtering. It analyzes user ratings and movie attributes, like genre and director, to generate recommendations. The system combines both methods for improved accuracy and features a user-friendly interface. Available on GitHub, this project provides an open-source solution for developing movie recommendation systems.
Property Scout: Real Estate Analysis Tool
Property Scout is a Python tool that analyzes real estate data for investors, realtors, and homebuyers. It scrapes property listings from real estate websites, cleans and preprocesses the data, and provides insights on price trends, location, and investment potential. The tool includes visualization features to display market trends and property evaluations. It's open-source and available on GitHub for customization and further development.
Emotion Detection Using CNN: Uncovering Emotions from Images
This project uses Convolutional Neural Networks (CNNs) to detect and classify emotions from facial images. The model, trained on a diverse dataset, accurately identifies emotional states based on facial features. Key features include high accuracy in emotion detection, robustness across expressions and demographics, and applications in sentiment analysis and interactive systems. The code and documentation are available on GitHub, enabling replication and further research. This project showcases the power of CNNs in understanding human emotions.
Market for Wellness
I scraped the data of holistic doctors from the public library like yelp and Yellowpages.
Web scrapping
I wrote a code to scrape hitta.se and also build a pipeline to store the data in PostgreSQL.
Education
p.m patel college
Bachelor of Science (BS) in Chemistry
2015-01-01-2018-01-01
Languages
- English
- Gujarati
- Hindi
Stackoverflow