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@Shreyash1811
Shreyash1811
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Working from home

Shreyaskumar Kathiriya Shreyash1811

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Working from home
I am an engineer in the pursuit of learning and growing my knowledge in analytical concepts and applications with projects I work on along the way.
  • New York University
  • New York

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  1. Business-Analytics-Case-Study-7Business-Analytics-Case-Study-7Public

    Exploratory Data Analysis, Text Analytics and Sentimental Analysis on consumer complaint data along with other customer attributes. Looked for trends and insights to propose efficient customer hand…

    Jupyter Notebook

  2. Graph_Theory_Notebooks_DataEngineering_Machine_LearningGraph_Theory_Notebooks_DataEngineering_Machine_LearningPublic

    Various Graph theory case studies and Machine learning process Practiced in Data Engineering.

    Jupyter Notebook 2

  3. Market_analysisMarket_analysisPublic

    This project was an attempt to understand the top technology companies and the impact of stock market and its volatility. Here I worked with companies like Amazon, Google, Apple and Microsoft and f…

    Jupyter Notebook 1

  4. Prospect-Student-Engagement-Analysis-and-Personal-Building.Prospect-Student-Engagement-Analysis-and-Personal-Building.Public

    This project was an attempt to understand and practice marketing concepts like funnel analysis and personal building to reach target audience. We used the provided email engagement data of students…

    Jupyter Notebook

  5. Student-Performance-PredictionStudent-Performance-PredictionPublic

    In this project we joined together various dataset consisting data on student demographics, Course selection, Interaction with provided resources and past scores in other similar courses. The objec…

    Jupyter Notebook 2

  6. User-Personalized-Recommendation-System-for-Amazon-by-making-use-of-reviewsUser-Personalized-Recommendation-System-for-Amazon-by-making-use-of-reviewsPublic

    Key objective of the project was to account for reviews data on Amazon products to better the recommendation system and make recommendation more personalized. I made use of Amazon’s available data …

    Jupyter Notebook 1


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