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Hi there πŸ‘‹


I'm Shaoni Mukherjee, Master's from Liverpool John Moores's University (2020-2021).

Having started coding at an age of 24 and also having completed my Master’s, I can say my interest in this field has only grown with time. I gravitate more towards Data Science and Data Analysis. Currently I work as data Scientist at portcast. Further, I like creating content regarding data science and analytics. Working in the technology sector of various MNCs has helped me gain relevant experience in the industry. As businesses today are becoming more inclined with information technology, I strive to gain more knowledge and expertise in the field to update myself and gain relevant business experience.

My key interest lies solely in sharing my technical expertise with people. I enjoy tackling problems pertaining to technology and coming up with novel ideas. I am also a great listener and an artist. Keen intrest in book and collecting research papers.


My Tech

Popular Tech

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Languages and Tools:

hadoop hive mssql mysql python scikit_learn tensorflow

GIF


HAVE A GREAT TIME!

Shaoni Mukherjee's Projects

advanced_regression icon advanced_regression

You are required to model the price of houses with the available independent variables. This model will then be used by the management to understand how exactly the prices vary with the variables.

ann icon ann

Training an artificial neural network for beginners

car-price-prediction icon car-price-prediction

Car Price Prediction using Machine Learning Table of content Importing libraries Reading dataset Data Preprocessing Checking missing values Checking for Unique values Exploratory Data Analysis Visualization Looking for extreme high data entry Understanding relationship between features Model Building Creating dummy variables Feature Importance Linear Regression

clustering icon clustering

Creating clusters on the basis of K-means clustering algorithm in Python.

detecto icon detecto

Build fully-functioning computer vision models with PyTorch. For Installtion read the readme and use Jupyter Notebook

ecommerce icon ecommerce

ECommerce is currently one of the fastest and dynamically evolving industries in the world. Its popularity has been growing rapidly with the ease of digital transactions and quick door-to-door deliveries. A major source of big tech companies revenues comes from the interaction of their underlying proprietary algorithms that are heavily powered by data science, so it’s fundamental to understand the methods applied to maintain and grow the number of clients.

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