Tejashwini Manyam

Ambitious and motivated data science student with a solid foundation in statistical methods, machine learning, and data analytics. Skilled in extracting meaningful insights from complex datasets using programming languages such as Python and R, as well as tools like TensorFlow and Tableau. Known for strong problem-solving abilities and a creative approach to data visualization, with a commitment to leveraging data-driven insights to inform strategic decision-making. Eager to apply knowledge and collaborate in a dynamic environment, contributing to innovative projects that enhance operational efficiency and drive growth

Creation of Deep Learning Library and Model for Utility Extraction from Unnamed Aerial System: This project aims to collect RGB images of manholes in specific areas and use ArcGIS tools, along with deep learning frameworks, to train a model capable of detecting manholes and counting the number present in a given location. This information will assist construction workers, builders, and laborers in planning and executing construction projects in these areas more efficiently. 

Economic Impact Analysis of the North Country Children's Museum:  The project is about a data-driven analysis of the North Country Children's Museum (NCCM) and its economic impact on Potsdam (Clarkson University). It describes the process of collecting visitor data, which includes details like visit information and spending patterns. Monte Carlo simulations were used to model the data, estimating the economic influence of 22,000 visitors on local businesses. Various descriptive statistics, such as spending averages per group size, were also analyzed to gauge NCCM's overall economic contribution.

• Python for Data Science | From the Basics to Advanced, Alison, 05/01/23, 07/31/23
• Database Management System, NPTEL Swayam, 04/01/22, 08/31/22
• Python programming, Udemy, 05/01/19