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Name: Abhinav Jangir

Type: User

Bio: Data Scientist

💫 About Me:

👨‍💻 I am a Data Scientist with strong math & statistics background and 2+ years of experience using Machine Learning, Deep Learning, NLP, CV, and EDA Techniques to solve challenging business problems.

💡The specific domains in which I am currently working are:

🟢 Natural Language Processing (NLP): Custom Transformer implementations(BERT, GPT, T5), Entities extraction, Intents classification, Information Extraction, Language Modelling, Text Summarization, Question Answering System, Document Classification, Sentiment Analysis, Word Embeddings, Text Similarity, Document Parsing

🟢 Computer vision: Face Recognition , Object Localization and Classification,
Semantic Segmentation, Image Processing, GAN, OCR.

🟢 Machine learning & Deep Learning: Regression, Classification, Clustering, Time Series Forecasting, Recommendation Engines, Anomaly Detection, Statistical Analysis, EDA, Data visualization, Data pipelining, Hyperparameter Optimization

🟢 Other: Web Scraping, Model Deployment, AutoML, BI Dashboards, ETL Pipelines, MLOps

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Abhinav Jangir's Projects

ai-examples

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

av-job-a-thon

AV Job-a-thon

awesome-public-datasets

A topic-centric list of HQ open datasets.

cc_segemntation

Develop a customer segmentation to define marketing strategy. The sample dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months.

chatassistantbot

chatbot

A savage chatbot trained on movie dialogues

chroma

the AI-native open-source embedding database

course_aws_certified_machine_learning

customer_churn_prediction

Predicting customer churn at a fictitious wireless telecom company and use insights from the model to develop an incentive plan for enticing would-be churners to remain with company.

hackathons_solution

This repo contains the solution code for all of the machine learning hackathons i am participating

https-github.com-hshar94-aws-live

im2latex

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

intuitive-deep-learning

A beginner-friendly tutorial to introduce Deep Learning concepts in an intuitive way!

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

linedin-user-profile-hybrid-recommendation

Hybrid recommedation for talents

llm-finetuning

LLM Finetuning with peft

multiclass_classifier-object-classifier

my_certificate_cv

All my certifications

my_hack

notebook with data

ner-on-wikipedia-pages

nlp

:memo: This repository recorded my NLP journey.

optimizer-visualization

Visualize Tensorflow's optimizers.

sba_paycheck_protection-program

The Paycheck Protection Program is a loan designed to provide a direct incentive for small businesses to keep their workers on the payroll during the time of COVID-19.

sqweeksop

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.