WHO AM I?
I'm a self-motivated Data Scientist always eager to face creative challenges which can help me grow as a professional, and as a person.
I LOVE TO PLAY WITH DATA
CHARACTERISTICS:
- Passionate, open-minded, calm and composed at all times.
- Good communication skills, social and professional alike.
- Capable of swiftly adapting to any new problem.
- Optimistic and creative, yet also objective when necessary.
TOP SKILLS:
- Feature Selection.
- Feature Engineering.
- Exploratory Data Analysis.
- Model Tuning.
- Model Deployment.
TOOLS AND LIBRARIES:
- NumPy for performing mathematical and logical operations on dataframe.
- Pandas for data preparations and transformations, Exploratory Data Analysis and, cleaning / removing unnecessary data.
- Matplotlib for visualizing the dataframe by doing plots for EDA.
- Seaborn for doing plots to visualize dataframe / cluster relations.
- Sklearn for building models, clusters and, tuning model.
- Pymongo and MySQL libraries to do CRUD operations on NoSQL and SQL databases respectively.
- Flask framework for creating, debugging API and, doing slight UI work with HTML.
- requests, urllib, BeautifulSoup and, webdriver libraries to Scrap the web for data.
- Docker to create, deploy and, run applications using containers.
- Hadoop framework for storing and processing big data.
- OpenCV for solving problems related to computer vision.
- spaCy for solving problems related to NLP.
- TensorFlow for creating ANN, CNN and RNN to solve machine learning problems.