PRAVALLIKA VADLAMUDI

Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

• AWS Cloud Practitioner Essentials, 04/2024
• AWS Cloud Quest: Cloud Practitioner, 05/2024
• Coursera - Programming for Everybody (Getting Started with Python), 05/2017
• Coursera- Python Data Structures, 10/2017
• Hacker Rank- Assessment for the skill Python (Basic), 11/2017
• Participated in ECM EGALES 1.0 Hackathon, 01/2020
• Participated in National Workshop on "Data Science Using R Programming", 07/2019

Maze Runner

The challenge is to use algorithms like BFS, DFS, or A to determine the solution for the shortest path. So, the BFS Algorithm was selected to determine the shortest path. We figured out how to transfer the image to a data structure in the problem. We graphically displayed the solution in the system in accordance with the project requirements. 

Road Warrior

Built a search engine program that can locate the shortest route between two locations on a map. created a single base algorithm that was tweaked to achieve different search behaviors. Google Maps uses the A formula to find the shortest path and adds elective courses over time.

Prediction of Diabetes using Machine Learning

Aimed to predict how much percentage that person willing to get diabetes and if diabetes occurs then we can give precautions according to the percentage. This project is about predicting the accuracy percentage of diabetes from the given dataset. Considering the Kaggle data set. This data set contain age, skin thickness, pregnancies (if female), BMI, Insulin level, Glucose level. I considered these inputs and predicted the accuracy using algorithms.

Age and Gender Prediction using CNN

The main objective of this analysis work is to make an economical system that able to observe faces in pictures and to classify such faces supported age and gender categories. Created a system that integrates the best known on the previously available models. Judged presently on the available models for each face detection and age/gender classification.

Smart Factory Maintenance

Smart Factory Maintenance is all about machines that can send condition data in real time, and based on software algorithms, predict, and put a stop to malfunctions before they occur. The collected data includes properties of machines like: Lifetime of the machine in months, pressure, moisture, temperature, provider- manufacture or seller of the machine.