About Me
I’m a dedicated Agricultural engineer and now i turned in Machine Learning Engineer, enthusiastic about the innovative ways technology can positively impact people. I developed excellent communication, leadership and problem solving skills on my...
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Software Engineering
Data & Analytics
Programming Language
Database
Operating System
Web Development
Software Testing
Positions
Portfolio Projects
Company
DNA CLASSIFICATION
Description
Goal: - In this project, we will understand how to interpret a DNA structure and how machine learning algorithms can be used to build a prediction model on DNA sequence data. Build a classification model that is trained on the human DNA sequence and can predict a gene family based on the DNA sequence of the coding sequence. To test the model, we will use the DNA sequence of humans. Collected the data form the database using SQL Quarries. For data handling of DNA data used BIOPYTHON library. By using ordinal encoding, one-hat encoding to manipulate the data. DNA sequence as a “language”, known as k-mer counting. Here is the link of the project https://github.com/RamanjaneyareddyTV/DNA-Sequencing-Classification.
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SQLCompany
ZETA VIRUS DISEASE
Role
Machine Learning Engineer
Description
Goal: - The aim is to predict who will be infected by Zeta Disease. Collected the data form WHO datasets. The data contains 9 columns with 800 people samples. Used univariate analysis to check the individual feature’s distribution. The entire features are continuous variables we do segmented analysis to check how they are related to target variable. Train the model by model building and predict the probability and test the model. Since the dataset is small we use hyper parameter tuning for best fitting. Here is the link of the project https://github.com/RamanjaneyareddyTV/Zeta-Disease-Prediction.
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Machine Learning Power BICompany
HEART DISEASE DIAGNOSTIC: - CREATED DASHBOARD USING POWER BI
Description
Goal: - Create a dashboard for heart disease Import the data form the local drive. Transform the data and edit the data using power query editor. Create the visualization and convert them to dashboard. Here is the link of the project https://github.com/RamanjaneyareddyTV/Power_BIdashboards/tree/master/Heart Disease Analysis.
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Power BI