20 SQL Commands For Your Next Data Science Job
Imagine walking into your next data science interview with confidence, knowing you can answer any SQL question they throw at you.
Sudhanshu Mukherjee সুধাংশু মুখার্জি
Data Scientist, Boston, MA
Contact: [ X @ Y ]: X=sud | Y=hustledata.io
I'm Sudhanshu Mukherjee (সুধংশু মুখার্জি), Data Scientist with 3+ years of experience pursuing a Master's at the University of Massachusetts. I enjoy developing machine learning algorithms to solve complex problems through a multidisciplinary approach to Automated Machine Learning, Deep Learning, and Generative AI.
Currently, as part of his master's research, He is building his most ambitious project: Rapid Insights Data Engine(R.I.D.E), a No-Code Platform designed to simplify and automate the entire data science workflow. Through RIDE, he aims to bridge the gap between technical and non-technical users by integrating my expertise in Machine Learning, and No-Code Development.
As part of my master's research, I'm building my most ambitious project: Rapid Insights Data Engine(R.I.D.E), a No-Code Platform designed to simplify and automate the entire data science workflow. Through RIDE, I aim to bridge the gap between technical and non-technical users by integrating my Machine Learning and No-Code Development expertise..
Academically, I have served as a Teaching Assistant for a High-Performance Scientific Computing class(DSC 520) in the Fall of 2024 and as a Teaching Assistant for Introduction to C Programming (CIS 190) in the Fall of 2023. I have also worked as Data Science Education Lead in the Digital Scholarship Hub at my university, where I taught multiple technical topics such as Data Visualization using Plotly, Using Langchain to interact with Large Language Model(LLM), ArcGIS for Geospatial Analysis, Introduction to SQL, and Basics of Machine Learning from December 2023 to August 2024..
Projects
Rapid Insights Data Engine (R.I.D.E)
RIDE is a powerful no-code platform that enables users to upload datasets, preprocess data, visualize it, perform feature selection, explore patterns, and apply statistical tests, all in an intuitive interface of your browser. What makes RIDE stand out is its AutoML capabilities, allowing users to test multiple machine learning models across Regression, Classification, and Clustering. The platform automatically evaluates model performance, helping users select the best-performing algorithm with ease.Beta version out soon. Please email to test out the demo.
Blog Posts
Multiclass Classification using Neural Networks
Explore the intricacies of building a neural network model capable of handling multiple classes.
Deep Learning is all about Gradient Descent Algorithm
Dive into how the gradient descent algorithm powers the learning process in deep neural networks.
From Underdog to Top Contender: How I Surpassed 76% of Teams on Kaggle
Discover the strategies and techniques that helped me climb to the top ranks in a Kaggle competition.
Python Development Best Practices: Virtual Environments and requirements.txt
Learn about the best practices in Python development focusing on virtual environments and managing dependencies.