I am currently working as a Data Scientist at Crescendo Worldwide. I come with an extensive experience of working with different technologies including Data Science, Machine Learning, NLP, Computer Vision and Deep Learning. I have 3+years experience as data scientist in different industry Finance, Manufacturing, Healthcare, Agriculture, Logistic, supply chain, etc.
In the past, I have worked with Data Scientist. Insides
Domain: Natural Language Processing, Image Processing, Machine Learning, Deep Learning, Data Science, Data Wrangling, Data Visualization, and Data Warehousing.
Languages: Python, SQL.
Visulalization tool: Power BI, Tableau
Framework: Flask, Ruby on Rails, AngularJS, React, Bootstrap.
Libraries & Tools: AWS EC2, AWS S3, Lambda Functions, NumPy, Pandas, Scikit-Learn, SciPy, Matplotlib, D3.js, PyTorch, Keras, NLTK, Sentry.
Data Analysis: Exploratory Data Analysis, Ensemble Methods, Strong Statistical Foundation, Model Development & Evaluation Metrics, Quantitative Methods, Google Analytics.
AWS Sagemaker( Machine Learing Model Deployement ) , Microsoft Azure . ( Machine Learing Model Deployement ), Heroku ( Machine Learing Model Deployement ), Flask , Steamlit , Basic Knowledge regarding Docker , Data Scrapping using Octoparse