Diksha Celene Kolabathula

Motivated and detail-oriented individual with a strong foundation in Python, data analytics, and programming. Experienced in executing data analysis projects that involve data cleaning, visualization, and statistical modeling.Eager to apply my technical skills and problem-solving abilities in a professional environment, while continuing to grow and contribute to data-driven projects and decision-making.

COURSERA:

Machine Learning For All,

Python Programming: A Concise Introduction,

AI For Everyone,

Unsupervised Machine Learning for Customer Market Segmentation.

Heart Disease Prediction : Used different algorithms to predict if a person has any heart-related disease using a dataset from Kaggle. 

Fast Fourier Transformation of a Noisy Wave: Focused on the use of the Fast Fourier Transform to noisy signals, extracting frequency components and recovering the original signal. 

Work-Life Balance: Used R programming to generate plots and graphs analyzing the relationship between work-life and personal life.

Comparison of Face Recognition and Detection Algorithms: Compared algorithms like Local Binary Patterns (LBP) and Principal Component Analysis (PCA) on various datasets.

Recognizing a Motif from Indus Valley Civilization using Image Processing algorithms:Used a dataset of 1000+ images to recognize motifs from the Indus Valley Civilization.

• Artificial Intelligence for Everyone
• Google Crowdsource

Celene

AspireVision Tech Education, Hyderabad, 05/13/19, 06/12/19, Classification of Customer Rating on Zomato dataset, Using Machine Learning with Python. A few of the Machine Learning algorithms were implemented and the one with the best accuracy was selected.