About Me
Enthusiastic it engineer with a foundation in data science and a desire to apply skills in various fields. Seeking opportunities to contribute and learn in an it engineering role.
Experience
End of Study Internship
Developed modules for data acquisition, de novo molecule generation, filtering, visualization, and deployment.
Utilized Keras, TensorFlow, RDKit, and Chart.js for drug design and molecule discovery.
Contributed creatively to dataset collection, model training, and business objective understanding.
Collaborated with cross-functional teams to deliver a comprehensive platform for molecule design.
Internship: Analytics of Urban Mobility
Analyzed geospatial data and conducted time series forecasting for hourly deliveries.
Applied geospatial analytics and visualizations using SWFTBOX data.
Utilized clustering techniques (K-Means, DB-SCAN) and Prophet Python library for demand predictions.
Demonstrated strong analytical and problem-solving skills within a collaborative team environment.