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Achievement: Arctic Code Vault Contributor

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Rajiv2806/README.md

Here is Rajiv

I'm a Data Scientist & I'd love to solve problems with data. "Dating with data" is a part of my daily job.

I'm really fascinated by the research happening in the Data Science/ML space & I try my level best to keep up with the advances.

Welcome to my Git profile.

  • I am interested in solving problems related to Machine learning, Deep Learning, Reinforcement Learning.

  • I love automating things using Python.

  • Presenting raw data using python dashboards for visualizations.

  • I have very string base in SQL - Postgres, Oracle, MySQL, AWS Athena etc..,

  • My experience includes:

  • Custmer Churn

  • Fraud Detection

  • Recommendation systems

  • Time Series

  • Computer Vision

  • Natural Language Processing (NLP)

  • My cloud experiences, more specifically the ML/AI related solutions/services are into:

  • AWS

  • GCP

  • Microsoft Azure

  • IBM Watson

  • 🔭 I’m currently working on Machine Learning, Deep Learning Projects.

  • 🌱 I’m always learning. There is lots to explore in this field.

  • 👯 I’m looking to collaborate on any technical requirements you have.

  • 🤔 I’m looking for help with system design.

Projects References

  1. Processing Dates with Pandas

  2. Pandas Data Pre processing

  3. IPywidgets

  4. Geo Mapping

📫 Reach out to me on my social media profiles below:

LinkedIn

Hacker Rank

Kaggle

I target to push atleast one new code commit per week in 2022, that can help the community. Kindly support by following me or giving me a star if any of the code is of help to you.

Pinned Loading

  1. Application_of_Linear_Regression_on_Facebook_Page_Metrics Application_of_Linear_Regression_on_Facebook_Page_Metrics Public

    Statistical Modelling to predict Brand performance using Social Media platform

    HTML

  2. Supervised_Text_Classfication Supervised_Text_Classfication Public

    Textual Analytics

    HTML

  3. Basic_Text_Analytics_and_NLP Basic_Text_Analytics_and_NLP Public

    Basic_Text_Analytics_and_NLP

    HTML

  4. Empirical-Topic-Modeling Empirical-Topic-Modeling Public

    With bulky volumes of information coming from various sources and with the large reports of data in front of the executives, it's really hard for anyone to go through them in a given time frame. So…

    HTML

  5. Game-Of-Thrones-Sentiment-Analysis-Using-PySpark Game-Of-Thrones-Sentiment-Analysis-Using-PySpark Public

    Forked from aswani15/Game-Of-Thrones-Sentiment-Analysis-Using-PySpark

    Game Of Thrones Sentiment Analysis using PySpark

    Python 1

  6. How_to_make_a_text_summarizer How_to_make_a_text_summarizer Public

    Forked from llSourcell/How_to_make_a_text_summarizer

    This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

    Jupyter Notebook