Skip to content
View pavankumargoli's full-sized avatar

Block or report pavankumargoli

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
pavankumargoli/README.md

Hi, 👋 My name is Pavankumar Goli

GenerativeAI(GenAI) | Data Scientist | Python | Machine Learning Engineer | Deep Learning | Artificial Intelligence (AI) | NLP | Computer Vision | OCR |

High-performing Data Scientist with 13 years of experience in building Artificial Intelligence/Data Science solutions using Machine Learning, Deep Learning, Natural Language Processing (NLP), OCR, and Recommender Systems

Tools | Frameworks

Python, Machine Learning, Deep Learning, Artificial Intelligence (AI), Natural Language Processing, NLP, OCR, Recommender Systems, Data Analytics, SQL, VBA, Advanced Excel, Microsoft Azure, AWS, Abbyy FineReader (OCR Engine), and Tableau.

Data Preprocessing: NumPy, Pandas.

Machine and Deep Learning Implementation Framework: Tensorflow, Scikit-Learn, PyTorch.

Natural Language Processing: NLTK, BERT.

Data Visualization: Matplotlib, Tableau, Seaborn.

Cloud Services: AWS, Google Colaboratory, Kaggle kernel.

Integrated Development Environment: VS-Code, Jupyter-Notebook, PyCharm.

Socials

Pinned Loading

  1. Machine-learning-Algorithms-on-Amazon-Fine-Food-Reviews-Analysis Machine-learning-Algorithms-on-Amazon-Fine-Food-Reviews-Analysis Public

    Implementation of Machine learning algorithms KNN, Naive Bayes, Logistic Regression, SGD for linear regression, SVM, Decision Trees,Random Forest,k means and Truncated SVD on Amazon fine food revie…

    Jupyter Notebook

  2. Exploratory-Data-Analysis-using-Python-Haberman-Cancer-Survival-dataset Exploratory-Data-Analysis-using-Python-Haberman-Cancer-Survival-dataset Public

    Jupyter Notebook

  3. Machine-Learning-Featurization-and-TSNE Machine-Learning-Featurization-and-TSNE Public

    Jupyter Notebook

  4. Stochastic-Gradient-Descent-Linear-Regression-On-Boston-House-Price-Data Stochastic-Gradient-Descent-Linear-Regression-On-Boston-House-Price-Data Public

    Forked from sahildigikar15/Manual-Implementation-of-Stochastic-Gradient-Descent-Linear-Regression--

    Implemented Stochastic Gradient Descent linear Regression on Boston House Price Data. Here we have also implemented SGD using python code. At last we are comparing the weights obtained by Sklearn's…

    Jupyter Notebook 1

  5. Getting-and-Cleaning-Data-Project Getting-and-Cleaning-Data-Project Public

    R