S K I L L S

NLP- Sentiment Analysis, Text Classification, Named Entity Recognition (NER), Chatbots
DL - Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, Reinforcement Learning, Deep Reinforcement Learning

Supervised ML, Unsupervised ML, Prediction Algorithms,

Linear Regression, Logistic Regression, Decision Tree, Random Forrest, K-means Clustering, PCA, LDA

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Python NumPy, Pandas, Seaborn etc. libraries for Data Analysis

R - basics only

Web Scrapping using Python - Selenium, Beautifulsoup, 

Scrappy etc. Libraries ,

Data Extraction using API Integration (JavaScript)

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Data Management,

Data Manipulation & Analysis using SQL from Relational Databases 

E.g., MySQL,

MS SQL Server

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