Raj Shah

Hi, I'm Raj Shah

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

Driven full-stack developer with a Masters in Computer Science and over 2 years of experience as a Software Engineer. Skilled in crafting scalable web applications using Python, JavaScript, React, MongoDB, and PostgreSQL. Leverage experience in machine learning and data visualization tools like OpenCV, TensorFlow, PowerBI, and Matplotlib to provide unique perspectives and solutions. Eager to apply ML knowledge to build intelligent systems and derive impactful insights from data. Excited to join a dynamic team where I can contribute my technical expertise across the stack, learn from talented peers, and build the next generation of software platforms. Outside of work, I stay up-to-date on the latest technologies and development techniques. I'm constantly learning, taking on challenges to expand my skills, especially in ML and data visualization.

Detail-oriented Software Developer with professional experience in Backend Development, Machine Learning, Data Analyst. I am adept in Python, Django, Flask, SQL, Machine Learning, Data Visualization.

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Apkudo Inc

Software Developer

Developed and maintained Python API endpoints, enhancing seamless integration between front end and backend systems. Implemented robust error handling and authentication mechanisms for optimal security and reliability.
Optimized database schemas using PostgreSQL, resulting in substantial query performance improvement and enhanced scalability.
Collaborated with cross-functional teams to gather requirements and implement new features, leveraging Python and PostgreSQL. Actively participated in code reviews, offering valuable feedback and contributing to code enhancements.
Conducted comprehensive testing and debugging of Python API endpoints, ensuring functionality and maintaining code integrity. Monitored application performance using advanced logging and profiling techniques.
Tools: Python, PostgreSQL,Django, RESTFul API

Jan 2023 - Dec 2023 | Dallas, USA

XPF Solutions

Software Developer

Developed and maintained front end components using HTML, CSS and Javascript
Fixed bugs from existing websites and implemented enhancements that significantly improved web functionality
Collaborated and coordinated with cross-functional teams to gather requirements for designing and developing layouts for client websites
Worked closely with backend developers to integrate front end interfaces with RESTful APIs, enabling seamless data exchange
Utilized version control system (Git) to manage and track code changes, enabling streamlined code management
Tools: HTML, CSS, Javascript, Git

Jan 2018 - Dec 2019 | Mumbai, India

Projects

                
Hospital Management System
                  A web app for hospital to manage day to day tasks
                
                Description
                Tools: MongoDB, Express.JS, React.JS, Node.JS
Developed a robust Hospital Management web application using  MERN Stack.
Implemented features such as patient registration, appointment booking, doctor availability, etc.

                    Designed and deployed a RESTful API using Node, Express and MongoDB.
                  
Leveraged React.js resources including Context API, React Hooks, and React Route

Green Cart
                  Online plant sales platform
                
                Description
          
                Tools: Node.JS, Express.JS, JQuery, Handlebars
Spearheaded the development of an online plant sales platform in a collaborative team of three members.
                  
Elevated user engagement by skillfully employing client-side scripting to manipulate the HTML DOM.
Designed and implemented the dynamic database module

Kidemy
                  A web app for parents to assign and keep a tab of courses for children.
                
                Description
                
                Tools: HTML, CSS, Bootstrap, Express.JS, Node.JS, MongoDB
A web app for parents to assign the course to their children and keep track of their progress.
 Parents can add multiple children to the portal.
Parents can assign relevant courses to their children and track their progress regarding their score 
                    and completion of the subject or module of assigned courses.

Broadband Service Provider
                  A simple web app for broadband servide provider.
                
                Description

                Tools: HTML, CSS,React.JS, MongoDB
Devised a comprehensive
                     web application catering to a 
                     broadband service providers need, adeptly managing plans and user subscription
                    
Demonstrated proficiency in backend functionality through MongoDB integration and 
                    frontend development utilizing React, CSS

Quora Duplicate Question Detection
                  A model that classifies whether a given question pairs are semantically equal.
                
                Description
                
                Developed a model with around 400,000 data points to classify whether given question pairs are semantically equal.
Implemented traditional ML algorithms like XG Boost and Random Forest classifier, achieving an average accuracy of 75%.
Utilized modern NLP techniques like LSTM and word2vec, achieving an average accuracy of 83% and compared with previous approaches

Spotify Music Recommendation
                  A Music Recommendation System.
                
                Description
                
                Designed a Music Recommendation model using Machine Learning algorithms such as KNN, Random Forest, Decision Tree, etc.
Analyzed 225,000+ training samples, performed data analysis and visualization, and compared algorithm accuracy using Histograms and pie 
                    charts. Achieved an average accuracy of 82% .

Capture Parking
                  Build a Parking Monitoring system.
                
DescriptionCreated a parking monitoring system, harnessing historical data and CCTV images to forecast real-time 
                    parking space availability.
 utilized computer vision techniques, including Mask R-CNN, for image analysis to determine parking space status.

House Value Prediction
                  Machine learning model to predict the value of houses.
                
                Description
                
                Developed a Machine Learning pipeline for data preprocessing, feature engineering, modeling, and evaluation on a dataset of around 20,000 
                    samples.
Implemented various algorithms such as Linear Regression, Ridge Regression, Random Forest, Neural Networks, achieving good accuracy.

Taxi Demand Prediction in NYC
                  A Machine learning model to predict taxi demand in NYC.
                
                Description
                
                Developed a machine learning system to predict taxi demand for specific areas of New York City.
Pre-processed and clustered the data using K-Means, implemented feature engineering techniques, and deployed the model in SageMaker.

Cricket 360
                  Data Visualization project related to cricket using PowerBI.
                
                Description
                
                Refined, analyzed, and visually represented cricket-related data, culminating in the creation of an engaging and interactive dashboard.
The process included  web scraping using Pandas, preprocessing, data modeling, and finally, implementation of a dynamic dashboard using Power BI.

Job Details Survey
                  Power BI data visualization using real data.
                
                Description
                
                Power BI dashboard was created using real data collected from a survey conducted among individuals regarding their employment status and related information.
The collected data was processed and cleaned using Power Query to ensure accuracy and reliability.