Kumar Vishwesh

Hello, I am a seasoned AI/ML Product Management professional and Data Science Development Lead with ~9 years of progressive experience in the field. My passion for AI and its potential to transform the world has led me to work on cutting-edge projects that leverage machine learning and artificial intelligence to solve complex problems. As an AI/ML Product Manager, I have a proven track record of successfully launching and managing AI/ML-based products, ensuring that they meet both customer and business requirements. My ability to understand customer needs and translate them into product features, coupled with my technical expertise, has allowed me to deliver impactful solutions that meet business objectives. As an AI/ML Data Science Development Lead, I have led teams of talented data scientists, overseeing the development and deployment of machine learning models and algorithms. I have a strong background in data science and statistics, and machine learning. Throughout my career, I have had the opportunity to work with leading companies in the tech industry, helping them leverage the power of AI to drive innovation and growth. I am passionate about staying up-to-date with the latest trends in AI and using my expertise to create products that make a difference. Thank you for taking the time to read my introduction.

A/B Testing in Product Management: How to Optimize Your Strategy with Data-Driven Experiments

May 29, 2023May 4, 2023 by Kumar Vishwesh

Product managers are constantly striving to enhance their products and deliver the best user experience possible. To achieve this, data-driven decision-making is crucial. And that’s where A/B testing comes into play. A/B testing is a powerful technique that allows product managers to compare two versions of a feature, analyze user behavior, and determine which version … Read more

Interpolation vs Extrapolation: Common Methods with Python Code

May 6, 2023May 3, 2023 by Kumar Vishwesh

In this interesting post, we will explore two terms we often hear from data scientists i.e. Extrapolation & Interpolation. When we get access to data points, we try to present all the information that can be useful. Let’s start exploring this bit from the AI universe. Interpolation vs Extrapolation The prefix inter- means between, and … Read more

Essential Python Snippets for Data Cleaning and Preparation

May 8, 2023May 2, 2023 by Kumar Vishwesh

Python is one of the most popular programming languages in the world of data science. It provides a variety of tools and packages for data cleaning and preparation. In this post, you’ll find crucial and commonly used Python Snippets for Data Cleaning and Preparation in the fields of AI, ML, and data science. Python Snippets … Read more

Regression Imputation: A Technique for Dealing with Missing Data in Python

April 30, 2023 by Kumar Vishwesh

Missing data is a common issue in datasets, and can affect the accuracy of any analysis. It is important to handle missing data appropriately in order to avoid biased results. One way to handle missing data is through imputation, which involves filling in missing values with estimated values based on the available data. In this … Read more

Understanding KL Divergence in Machine Learning: Applications and Improving Model Accuracy

April 29, 2023 by Kumar Vishwesh

When it comes to machine learning, understanding the difference between two sets of data is key. This is where KL divergence, or Kullback-Leibler divergence, comes in. KL divergence in machine learning is a powerful concept that can help us compare two probability distributions, and it has many applications, from detecting anomalies in data to improving … Read more