Nitesh Chawla
Niteshchawla
Data Science Professional | Founder
Languages
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Enhancing E-commerce Conversion Strategies: How can e-commerce businesses optimize various strategies to significantly enhance their conversion rates, ensuring sustained growth and competitiveness in the online market
Research Case Study on E-commerce vs Physical Stores. To offer a well-rounded examination, illuminating the distinctive advantages and challenges posed by online and offline business strategies. Present a balanced view, supported by data-driven insights and real-world examples.
The goal of this EDA is to set a pricing strategy for an ecommerce company that not only brings in the most money but also draws in a good number of customers to purchase your products.
A Leading Retail chain brand and a prominent retailer in the United States. It makes itself a preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver.
The goal of this project is to use a bunch of news articles extracted from the companies’ internal database and categorize them into several categories like politics, technology, sports, business and entertainment based on their content.
Development of robust classifiers which can distinguish between images of different types of vegetables, while also correctly labeling images that do not contain any one type of vegetable as noise.
Repositories
31Enhancing E-commerce Conversion Strategies: How can e-commerce businesses optimize various strategies to significantly enhance their conversion rates, ensuring sustained growth and competitiveness in the online market
Research Case Study on E-commerce vs Physical Stores. To offer a well-rounded examination, illuminating the distinctive advantages and challenges posed by online and offline business strategies. Present a balanced view, supported by data-driven insights and real-world examples.
The goal of this project is to use a bunch of news articles extracted from the companies’ internal database and categorize them into several categories like politics, technology, sports, business and entertainment based on their content.
The goal of this EDA is to set a pricing strategy for an ecommerce company that not only brings in the most money but also draws in a good number of customers to purchase your products.
Development of robust classifiers which can distinguish between images of different types of vegetables, while also correctly labeling images that do not contain any one type of vegetable as noise.
The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.
To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.
A Leading Retail chain brand and a prominent retailer in the United States. It makes itself a preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver.
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starting with flask
To help rescue crews and retrieve the lost passengers, you are challenged to predict which passengers were transported by the anomaly using records recovered from the spaceship’s damaged computer system.
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An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.
To predict if a passenger survived the sinking of the Titanic or not.
Goal is to predict the sales price for each house. For each Id in the test set, to predict the value of the SalePrice variable.
Goal is to use data from a mental health survey to explore factors that may cause individuals to experience depression.
To conduct a thorough Exploratory Data Analysis to analyze user behavior across different page categories, engagement time, and other features. Gain insights into factors influencing purchase decisions and identify areas for optimization.
The case study is based on how a subscription-based e-commerce business employed customer-centric strategies to reduce churn and increase customer lifetime value. How companies are Maximizing customer spending and loyalty while minimizing subscription cancellations to enhance profits and long-term business sustainability in an e-commerce model.
An intuitive and user-friendly Tableau dashboard that offers a holistic view of sales data, enabling users to explore various dimensions of the company's performance.
This project aims to leverage the power of e-commerce data (sales, product, and demographic) analyzed through SQL to unlock actionable insights driving profitable growth. By delving into customer behavior, product trends, and sales patterns, we will uncover hidden value that can inform key business decisions.
Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.
Config files for my GitHub profile.
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
Yulu has recently suffered considerable dips in its revenues. They have contracted a consulting company to understand the factors on which the demand for these shared electric cycles depends. Specifically, they want to understand the factors affecting the demand for these shared electric cycles in the Indian market.
The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
Recruiting and retaining drivers is seen by industry watchers as a tough battle for Ola. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to Uber depending on the rates.
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.