Suryansh Singh

As a Machine Learning Developer, I have worked on several impactful projects leveraging machine learning and artificial intelligence. One of my key projects was a Resume Parser, where I developed an NLP-based system that automatically extracted and categorized key information such as contact details, work experience, education, and skills from resumes. I also worked on Data Prediction Models to help clients make informed decisions by forecasting trends using historical data, particularly in the finance and retail sectors. In addition, I contributed to a Visual Analysis project, creating a computer vision model that assisted in quality control by analyzing product images and categorizing inventory based on visual features. Another significant project I worked on was Bank Transaction Parsing, where I built a system to extract and categorize financial data from bank transactions, automating reporting processes and improving financial analysis accuracy. These projects have sharpened my skills in machine learning, NLP, and computer vision while delivering solutions that drive efficiency and business insights.

As an Android Developer, I worked on several impactful projects, including the development of a Location Alarm System and an Emergency Call Application. For the Location Alarm System, I integrated GPS and geofencing technologies to trigger alerts when users entered or exited predefined locations, providing users with timely reminders and notifications. The Emergency Call Application I developed enabled users to send an SOS alert along with their real-time location to predefined contacts with a single tap, ensuring quick and effective responses in critical situations. These applications were designed to be user-friendly and reliable, offering enhanced security and convenience to users.