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A portfolio section bearing information about all my Data Science projects so far

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A portfolio section bearing information about all my Data Science projects so far.

Below are the broad categories of all the projects that have been/will be covered by me. Each week I will add a new project to any of the below categories depending on the domain. Enjoy the read, Explorer :)

Project 1: Multivariable Logistic Regression to understand churn prediction for MOOC attrition using social, behavioral and analytical factors

Project 2: Landscape Genetic Model to study correlation between rise in Malaria cases and Local Habitat practices in light of South Asian lanscape

  • A Geospatial data science project undertaking comprehensive land cover investigation to establish linkage between human habitat practices and Malaria propagation
  • Imbalanced and unstructured datasets comprising of 150+ columns
  • Employed multivariate statistical methods and Exploratory data analysis to analyze environmental patterns and its correlation with spread of Malaria in the region
  • [More details] https://github.com/debstS/MalariaProject

Project 3: Customer Churn analysis based on a HelloFresh case study

Project 4: Book recommendation system

  • The goal of this study is to predict how often a hotel will be clicked based on certain characteristics of the hotel.
  • It also aims to provide the right accommodations for users and help advertisers to run well-performing campaigns on the trivago website
  • [More details] https://github.com/debstS/Book-Recommendation-System-

Project 5: A/B testing to compare Product website's layout for 3 types of Property Industry stakeholders

  • A comprehensive A/B testing design plan to test the efficacy and outcome of two types of websites layouts, to decide the more preferred and user-friendly layout options.
  • [More details]

Project 6:Create a Custom Property Chatbot for Question-Answer problem using Langchain and Llama 2 API

Project 7: 'Predict click rate' study based on Trivago Case Study

  • The goal of this study is to predict how often a hotel will be clicked based on certain characteristics of the hotel.
  • It also aims to provide the right accommodations for users and help advertisers to run well-performing campaigns on the trivago website
  • [More details] https://github.com/debstS/trivago_case_study

Project 8: London Real Estate Analysis using Clustering to find areas with highest venues of interest, to help with making best investment decisions while buying a property

Project 9: Credit Risk Modelling for a German credit risk company

Computer Vision projects

##--Below to be continued--

The World of Geospatial data science

A/B Testing projects

Time-series forecasting project

Exploratory Data Analysis projects

Power BI projects

Natural Language Processing projects

Large Language Model projects

Hey there, I am your own Custom Chatbot ! (using Langchain, Huggingface, OpenAI API, Llama 2, etc)

Research Papers and Case study implementation projects as PoCs (HelloFresh, Trivago)

Trying out some stuff (journalism Data Science use cases/making portfolio website)

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

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