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Nitesh Chawla

Niteshchawla

Data Science Professional | Founder

Indo Alliance
India

Languages

Jupyter Notebook91%Python9%

Top Repositories

Case-Study-Ecommerce-Conversion-Strategies

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

2
Case-Study-Ecommerce-vs-Physical-Stores

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.

1
Ecommerce-Pricing-Strategy

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.

1Jupyter Notebook
NC-SQL-Business-Case

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.

1
NLP-Content-Classification

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.

0Jupyter Notebook
CV-Classification--Fresh-Produce-Chain

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.

0Jupyter Notebook

Repositories

31
NI
Niteshchawla/Case-Study-Ecommerce-Conversion-Strategies

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

20Updated 1 day ago
case-studyconversionsecommerceinfluencer-marketingloyalty-programmobile-commercepersonalizationresearchretentionuser-generated-content
NI
Niteshchawla/Case-Study-Ecommerce-vs-Physical-Stores

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.

10Updated 3 months ago
case-studyecommerceecommerce-industryecommerce-storemobile-commerceo2oofflineomnichannelonline-business-platformonline-storeresearchsocial-commerce
NI
Niteshchawla/NLP-Content-Classification

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.

Jupyter Notebook00Updated 5 months ago
bag-of-wordslemmatizationmulticlass-classificationnatural-language-processingstopwordstext-classificationtext-processingtf-idftokenization
NI
Niteshchawla/Ecommerce-Pricing-Strategy

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.

Jupyter Notebook10Updated 6 months ago
ab-testingdata-visualizationecommerceexploratory-data-analysishypothesis-testingmatplotlibpandaspptxpresentation-slidespricing-and-profitabilitypythonseabornstrategic
NI
Niteshchawla/CV-Classification--Fresh-Produce-Chain

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.

Jupyter Notebook00Updated 7 months ago
baseline-cnnscallbacksclassification-report-analysiscnn-classificationconfusion-matrixdataaugmentationmobilenet-v2resnet-50transfer-learningvgg16-model
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Niteshchawla/Logistics-NN-Regression

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.

Jupyter Notebook00Updated 11 months ago
adam-optimizerdata-visualizationencodingexploratory-data-analysisfeature-engineeringhidden-layershyperparameter-tuningkeras-tensorflowkerastunermetricsneural-networknumpypandasregressionreluscalingsequential-models
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Niteshchawla/Movie-Recommender-System

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.

Jupyter Notebook00Updated 1 year ago
collaborative-filteringcorrelation-matrixcosine-similarityexploratory-data-analysisfeature-engineeringknearest-neighbor-algorithmmapematrix-factorizationpca-analysispearson-correlationrecommender-systemrmsesparsitytsne-visualizationvisualization
NI
Niteshchawla/NC-SQL-Business-Case

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.

10Updated 1 year ago
bigqueryretailsqlsupermarket
NI
Niteshchawla/flask3_practice

No description provided.

Python00Updated 1 year ago
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Niteshchawla/streamlit2-practice

No description provided.

Jupyter Notebook00Updated 1 year ago
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Niteshchawla/practice-flask

starting with flask

Jupyter Notebook00Updated 1 year ago
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Niteshchawla/Spaceship-Titanic--ML-Lightgbm

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.

Jupyter Notebook00Updated 1 year ago
NI
Niteshchawla/dsml-mlops-jan2025-personalFork

No description provided.

Python00Updated 1 year ago
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Niteshchawla/Online-Marketing-Time-Series-Case-Study

An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.

Jupyter Notebook00Updated 1 year ago
acfarima-forecastingexogenous-factorsexploratory-data-analysisnumpypacf-autocorrelationpandasprophet-facebook-modelsarimax-modeltime-series-analysis
NI
Niteshchawla/Titanic--ML-from-Disaster

To predict if a passenger survived the sinking of the Titanic or not.

Jupyter Notebook00Updated 1 year ago
NI
Niteshchawla/House-Price-Prediction-ML--CatBoost

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.

Jupyter Notebook00Updated 1 year ago
NI
Niteshchawla/Mental-Health-ML--XGBoost-CatBoost

Goal is to use data from a mental health survey to explore factors that may cause individuals to experience depression.

Jupyter Notebook00Updated 1 year ago
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Niteshchawla/Ecommerce-EDA

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.

Jupyter Notebook00Updated 1 year ago
ecommerceexploratory-data-analysisfeature-engineeringhypothesis-testingmatplotlibnumpypandaspythonseaborn
NI
Niteshchawla/Subscription-Based-Ecommerce-Case-Study

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.

00Updated 1 year ago
arpucase-studychurn-analyticschurn-rateclvcustomer-lifetime-valueecommerceresearchsubscription
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Niteshchawla/Ecommerce-Sales-Dashboard

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.

00Updated 1 year ago
dashboarddata-visualizationdropdownfilterlistinteractive-visualizationstableau
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Niteshchawla/Ecommerce-SQL-Analysis

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.

00Updated 1 year ago
analyticsbigqueryecommercesql
NI
Niteshchawla/Clustering-ML

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.

Jupyter Notebook00Updated 1 year ago
cluster-analysisclusteringhierarchical-clusteringk-means-clusteringmachine-learningnumpypca-analysisvisualisation
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Niteshchawla/Niteshchawla

Config files for my GitHub profile.

00Updated 1 year ago
configgithub-config
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Niteshchawla/Aerofit-CaseStudy

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.

Jupyter Notebook00Updated 1 year ago
matplotlib-pyplotnumpypandasprobabilitypythonseabornstatistics
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Niteshchawla/Yulu-HypothesisTesting

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.

Jupyter Notebook00Updated 1 year ago
hypothesis-testingmatplotnumpypandas-libraryscipy-statsseaborn
NI
Niteshchawla/Delhivery-FeatureEngineering

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.

Jupyter Notebook01Updated 1 year ago
feature-engineeringhypothesis-testingmatplotlib-pyplotnumpypandas-pythonscipy-statsseaborn
NI
Niteshchawla/OLA-EnsembleLearning

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.

Jupyter Notebook00Updated 1 year ago
bagging-ensembleconfusion-matrixencodingensemble-learningfeature-engineeringfeatureimportancegridsearchcvhyperparameter-tuningmachine-learningprecision-recallrandom-forestroc-auc-curvescaling-methodssmote-sampling
NI
Niteshchawla/LoanTap-LogisticRegression

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?

Jupyter Notebook00Updated 1 year ago
confusion-matrixencodingfeature-engineeringfeatureimportancehyperparameter-tuninglogistic-regressionmachine-learningnumpypandas-pythonprecision-recallroc-auc-curvesklearn-metricssmote-sampling
NI
Niteshchawla/Jamboree-LinearRegression

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.

Jupyter Notebook00Updated 1 year ago
lasso-regressionlinear-regressionmachine-learningmean-square-errorols-regressionr2-scoreridge-regressionscaling-methodssklearnstatsmodelstrain-test-using-sklearnvariance-inflation-factor
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Niteshchawla/NC-Walmart-CaseStudy

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:.

Jupyter Notebook00Updated 1 year ago
central-limit-theoremconfidence-intervalsmatplotlib-pyplotnumpypandaspythonscipy-statsseabornstats

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