Aashwal Choudhry

Dynamic and results-driven individual, Proficient in working with IT backend teams, with 1.5 year of experience. Experienced in various technical languages, including C/ C++, Python and Java. Committed to drive innovation aligns with the rapidly evolving field of machine learning and artificial intelligence, making me an asset to any team aiming for excellence. Gained hands-on knowledge of Search Engine Optimization (SEO) keyword research, on-page/off-page optimization, and performance analysis. Developed proficiency in Social Media Marketing (SMM) content planning, platform strategy (Instagram, Facebook, LinkedIn), and campaign management. Learned Email Marketing techniques list building, automation, and performance tracking. History of maintaining equipment, updating software, and handling network security with an organized and systematic focus. Strong multitasker with excellent communication and planning abilities.

Demand prediction for a ride-hailing company (Uber) using a machine learning algorithm 

Passengers, at times, find it difficult to get a cab in new or developing areas, and Uber drivers, at times, go home without having a single passenger. The application predicts the demand for cabs at a particular time in a particular area. The project's goal was to see if a more efficient approach for assessing demand across different geographic regions could be developed. To that purpose, a large dataset was methodically collected, followed by stringent data cleaning procedures. Patterns within pickup and drop-off sites were identified using clustering algorithms The Mean Absolute Percentage Error (MAPE) was calculated as a performance statistic using a suite of machine learning algorithms, including the Random Forest Regressor, XGBoost Regressor, Linear Regression, baseline models, and the Exponential Weighted Ratio technique. The forecast can help the companies optimize their resources (i.e., vehicles), enhance availability at the right place at the right time, help drivers maximize revenue, and lead to much-satisfied customers 

GitHub link - click here

Payment gateway app

The application was created with the help of Android Studio, and the app facilitates payment transactions by transferring information between a payment portal, such as a website, mobile phone, or IVRS, and the front-end processor or acquiring bank.

Software Development to predict whether a person is suffering from COVID-19

The objective of the project was to predict if a person is suffering from COVID-19 based on the existing symptoms, using the Support Vector Machine algorithm. The training data used was collected for the city of New Delhi, and it consisted of the symptoms exhibited by the patients