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Tavish Srivastava

Tavish Srivastava

Author: since 21 Oct, 2013 Article: 125 Claps: 1218

Tavish Srivastava, co-founder and Chief Strategy Officer of Analytics Vidhya, is an IIT Madras graduate and a passionate data-science professional with 8+ years of diverse experience in markets including the US, India and Singapore, domains including Digital Acquisitions, Customer Servicing and Customer Management, and industry including Retail Banking, Credit Cards and Insurance. He is fascinated by the idea of artificial intelligence inspired by human intelligence and enjoys every discussion, theory or even movie related to this idea.

Writes on Business Analytics Technique Big data Machine Learning Beginner R Structured Data Supervised Algorithm Python Python Interview Prep Resource Classification Structured Thinking Business Intelligence Interviews SAS NLP Programming Statistics Advanced Libraries Interviews Listicle Unstructured Data Data Exploration Data Science Deep Learning Text Analytics Vidhya Banking E-Commerce Time Series Forecasting Web Analytics Data Engineering Project Regression Time Series Data Mining Data Visualization Graphs & Networks Maths Unsupervised Call Center Clustering Computer Vision Database Education Image Job Roles NoSQL Skilltest Sound Processing Announcement Artificial Intelligence Automobiles AzureML Career Digital Marketing Excel Hadoop Infographic PIG Ranking Recommendation Research & Technology Social Media Sports SQL Use Cases Intermediate More
  • Beginner Business Analytics Interview Prep Interviews Interviews

    New Case Study for Analytics Interviews: Dawn of Taxi Aggregators

    This is a new case study for analytics and data science interviews. The case requires sound structured thinking and knowledge of mathematics

    Tavish Srivastava 26 Feb, 2019
    New Case Study for Analytics Interviews: Dawn of Taxi Aggregators
  • Algorithm Banking Business Analytics Intermediate Machine Learning

    Exploring Recommendation System (with an implementation model in R)

    This tutorial illustrates use of recommendation engines in the banking industry with practicals done in R. It also explains types of recommendation engines.

    Tavish Srivastava 05 Jul, 2020
    Exploring Recommendation System (with an implementation model in R)
  • Analytics Vidhya Classification Data Science Intermediate Libraries

    Step by step guide to building sentiment analysis model using graphlab

    In this article text mining capability of Graphlab is exploited to solve one of the Kaggle problems, taking into consideration the sentiment of each phrase.

    Tavish Srivastava 03 Dec, 2018
    Step by step guide to building sentiment analysis model using graphlab
  • Algorithm Classification Data Science Intermediate Machine Learning

    How to Use XGBoost Algorithm in R?

    XGBoost is an efficient gradient boosting framework. Say goodbye to lengthy feature engineering as XGBoost in R takes new heights!

    Tavish Srivastava 11 Nov, 2024
    How to Use XGBoost Algorithm in R?
  • Analytics Vidhya Beginner Business Analytics Interview Prep Interviews

    3 Tricky Puzzles which most people get Wrong in Job Interviews

    Here are 3 tricky puzzles asked frequently in analytics job interview to evaluate a candidates mental maths, logical and aptitude skills

    Tavish Srivastava 26 Feb, 2019
    3 Tricky Puzzles which most people get Wrong in Job Interviews
  • Beginner Machine Learning R Statistics Structured Data

    A Complete Tutorial on Time Series Modeling in R

    Complete tutorial on time series analysis and time series modeling in R. It explains auto regression, moving average, dickey fuller test, random walk, etc.

    Tavish Srivastava 02 May, 2025
    A Complete Tutorial on Time Series Modeling in R
  • Business Analytics Data Exploration Intermediate Listicle Machine Learning

    7 Important Ways to Summarise Data in R

    Summarizing data in R is made simple by methods of data summarization like tapply, sqldf, apply to find mean, median and generate useful insights from data

    Tavish Srivastava 26 Jun, 2020
    7 Important Ways to Summarise Data in R
  • Big data Classification Intermediate Libraries Machine Learning

    Learn to Build Powerful Machine Learning Models with Amazon Service

    Here's a tutorial to build machine learning model using amazon machine learning which offers easy use, low pricing and various useful features

    Tavish Srivastava 21 Dec, 2015
    Learn to Build Powerful Machine Learning Models with Amazon Service
  • AzureML Beginner Big data Classification Libraries

    Tutorial – Build a simple Machine Learning Model using AzureML

    A complete tutorial on AzureML to create a predictive model. It explains its uses, features and methods to build machine learning models using AzureML.

    Tavish Srivastava 26 Jun, 2020
    Tutorial – Build a simple Machine Learning Model using AzureML
  • Beginner Big data Business Analytics Career Listicle

    Nobody Tells You – 5 things Big Data ‘CAN’ and ‘Cannot’ Do

    Big Data has its own benefits and limitations. This article explains the role of business analytics and understanding in deriving useful insights

    Tavish Srivastava 19 Apr, 2023
    Nobody Tells You – 5 things Big Data ‘CAN’ and ‘Cannot’ Do

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