I am currently working as a Data Scientist at S&P Global. I have extensive experience working with different technologies including Web Development, Data Science, Machine Learning, and Deep Learning.
In the past, I have worked with SAP LABS and AMDOCS.
Domain: Natural Language Processing, Image Processing, Machine Learning, Deep Learning, Data Science, Data Wrangling, Data Visualization, and Data Warehousing.
Languages: Python, SQL, HTML, CSS, JavaScript, MongoDB.
Framework: Flask, 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 and Evaluation Metrics, Quantitative Methods, Google Analytics.