Uttejreddy P.

Uttejreddy P.

Scarborough Bluffs ParkCanada

Data Analysis and Data Visualization

Electrical and Computer Engineering graduate with 4+ years of experience in Python, C ++, MS Excel, SAS EG, SQL, R, Alteryx, Tableau, and Power BI. * Proficient in Data Cleansing, Data Analysis, Data Transformation, Data Forecasting and Data Visualization. * Demonstrated excellent problem-solving and analytical skills while closely working with audit team from Retail Industry to investigate any potentially fraudulent entries in the data and meet their goals on time. * Completed Google Data Analytics by Google, R Programming by Johns Hopkins University and DeepLearning.AI TensorFlow Developer Specialization courses on Coursera. * Worked on 50+ fortune 500 Retail, Consumer, Industrial Products, Travel & Hospitality clients and actively lead a team by reviewing the work of team members to provide highquality

Portfolio

Image Colorization
Image Colorization
Built a CNN model using Image Augmentation on the Sign Language MNIST dataset to recognize sign language. The model gave an accuracy of 85% on the training dataset and over 90% accuracy on validation dataset within 20 epochs.
Multi-Class Classification Using Convolutional Neural Networks
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Uttejreddy P.

Uttejreddy P.

Scarborough Bluffs ParkCanada

Data Analysis and Data Visualization

Specializes in
Electrical and Computer Engineering graduate with 4+ years of experience in Python, C ++, MS Excel, SAS EG, SQL, R, Alteryx, Tableau, and Power BI. * Proficient in Data Cleansing, Data Analysis, Data Transformation, Data Forecasting and Data Visualization. * Demonstrated excellent problem-solving and analytical skills while closely working with audit team from Retail Industry to investigate any potentially fraudulent entries in the data and meet their goals on time. * Completed Google Data Analytics by Google, R Programming by Johns Hopkins University and DeepLearning.AI TensorFlow Developer Specialization courses on Coursera. * Worked on 50+ fortune 500 Retail, Consumer, Industrial Products, Travel & Hospitality clients and actively lead a team by reviewing the work of team members to provide highquality

Portfolio

Image Colorization
Image Colorization
Built a CNN model using Image Augmentation on the Sign Language MNIST dataset to recognize sign language. The model gave an accuracy of 85% on the training dataset and over 90% accuracy on validation dataset within 20 epochs.
Multi-Class Classification Using Convolutional Neural Networks
Want to see more? Create Account
Less than 30 hrs/week