NAGA SAI TEJASWINI JALADI

Hello Everybody. I am so enthusiastic about software. I am highly responsible and motivated student to learn who got trained by myself through online platforms. Ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.

• Amazon Web Services Cloud Practitioner (AWS)
• Python Data Structures
• Programming for Everybody (Getting started with python)
• 3D Model creation with Autodesk Fusion 360

Determination of water quality using MACHINE LEARNING ALGORITHMS [MAJOR PROJECT] :

• In this project we investigate a data set of ground water contamination records by using Machine learning algorithms. A water quality prediction model utilizing the principal component regression technique. The water quality index (WQI) is applied to the dataset, and the most dominant WQI parameters have been extracted. To predict the WQI, different Regression Algorithms like logistic regression, Random forest classifier, Decision tree classifier, K-NN Algorithm, SVM, etc., are used to give accuracy score as output. Finally, the Gradient Boosting Classifier is utilized to classify the water quality status. The proposed system is experimentally evaluated. The results demonstrate 95% prediction accuracy for the principal component regression method and 100% classification accuracy for the Gradient Boosting Classifier method, which show credible performance compared with the state-of-art models.

Creating 3D model using REVIT [MINOR PROJECT]:

• Traditional process of creating 2D drawings that aren't connected reduces drawing efficiency. By using revit software we create a building model in 3D with interiors included and we can get a walk-through which can be understandable to people who are willing to build their dream houses