💫 About Me:

Passionate about implementing end to end Machine Learning across Industry domains through predictive modeling, quantitative analysis,business insights through data visualisation and Deployment.

📊 Customer Lifetime Value and rating calculation
🔍 Thorough data analysis using Python, SQL, and Excel
📈 Data visualization with Tableau and Power BI
🤝 Collaborative approach with cross-functional teams
💡 Setup and operation of Customer Intelligence for profiling and segmentation**

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Shristi Priya's Projects

andrej-kapathy_cv_cs231n-2016-winter

All lecture notes and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford

aws-codepipeline-s3-codedeploy-linux

Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html

computer_vision

commands, pedestrian and car detection

customer-lifetime-prediction-using-python

What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

darknet_yolo

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep_and_machine_learning_projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

fifa-world-cup-analysis

About The Motive of this project is to analyze FIFA World Cup Data,we have the data from 1930 to 2014. The data we have is separated by Matches ,Players and Cup Holders since 1930 to 2014. Lot of Analysis has been done with nice Visualizations to understand and to get insights from data.

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