π¨βπ» 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.
π‘The specific domains in which I am currently working are:
π’ 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
π’ Computer vision: Face Recognition , Object Localization and Classification,
Semantic Segmentation, Image Processing, GAN, OCR.
π’ Machine learning & Deep Learning: Regression, Classification, Clustering, Time Series Forecasting, Recommendation Engines, Anomaly Detection, Statistical Analysis, EDA, Data visualization, Data pipelining, Hyperparameter Optimization
π’ Other: Web Scraping, Model Deployment, AutoML, BI Dashboards, ETL Pipelines, MLOps
Popular repositories Loading
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hackathons_solution
hackathons_solution PublicForked from asingleneuron/hackathons_solution
This repo contains the solution code for all of the machine learning hackathons i am participating
Jupyter Notebook
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AV-Job-a-thon
AV-Job-a-thon PublicForked from rajat5ranjan/AV-Job-a-thon
AV Job-a-thon
Jupyter Notebook
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Multiclass_classifier-object-classifier
Multiclass_classifier-object-classifier PublicJupyter Notebook
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cc_segemntation
cc_segemntation PublicDevelop 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.
Jupyter Notebook
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