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This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Home Page: https://www.coursera.org/specializations/natural-language-processing

License: GNU General Public License v3.0

Jupyter Notebook 98.04% Python 1.46% TeX 0.01% Roff 0.50%

deeplearning.ai-natural-language-processing-specialization's Introduction

Data Scientist who lately doesn't rest, he mines⛏️

Senior Data Scientist - Capgemini || Contributing Writer- Towards Data Science

🌱 A data scientist and senior consultant. I have spearheaded several projects across different disciplines of data science & machine learning to deliver data-driven insights to organizations & businesses. I am experienced at creating regression models, using descriptive and predictive data modeling to implement action-oriented solutions to business problems. Having been to 25 countries and territories for academic and professional purposes, I am flexible to work with people regardless backgrounds and cultures.

At Capgemini, I have worked as:

  • Senior Data Engineer- Meta/Facebook
  • Senior Data Scientist Generative AI- Cox
  • Senior Data Scientist- Cisco
  • Data Engineer Analytics - NBC Universal

•Tools: Python, R Studio, SQL, MySQL, Visual Basic for Applications (VBA) , Apache Spark, Hadoop, PowerBI, Tableau, Adobe Analytics, Anaconda, Azure, Amazon Web Services (AWS), ArcGIS by Esri, Flask, Docker. •Library / Packages: R (ggplot2, Caret, Tidy verse, dplyr), Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Tensorflow, PyTorch). •Technical Skills: Data Mining & Visualization, Statistical Inference, Big Data Analytics, Regression, Classification, Clustering, Deep Learning, Monte Carlo, Gradient Boosting, T-Testing & ANOVA, Process Mapping, Project Management, Root Cause Analysis.

💻 -Example projects:

-NLP projects with Streamlit(Python, Streamlit, NLP)

-United Nations' NLP Crisis Informatics (Python, NLP)

-Ads Optimization with Facial emotion recognition (Python, Computer Vision)

-Investing in pre-IPO Unicorn Startups

-US Election 2020 Twitter Sentiment Analysis (Python, NLP)

-1st winner Hackathon- Interactive Virtual Agents for questions related to COVID19

-Movie Recommendation & Ratings with Deep Learning (Spark, SQL)

-Annual Income Predictions (Python)

-Microsoft Malware Prediction (R)

-Seattle vs Washington DC Aibnb Analysis- (Python)

Connect with me:

codeSTACKr | LinkedIn


Technical skills










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