Aspiring Data Scientist with excellent ability in using advanced analytical techniques to analyze and infer business insights.
-
Languages: Python, HTML, CSS, Java Script
-
Frameworks: Django REST, Flask, Bootstrap, Streamlit
-
Libraries & Tools: NumPy, Pandas, Scikit-Learn, SciPy, Matplotlib, Seaborn, Pycaret, Tensorflow, FBProphet, Keras
-
Data Analytics: Excel, Tableau, Power BI, Exploratory Data Analysis
-
Machine Learning: Linear Regresssion, Logistic Regression, Random Forest, Decision Tree, Naïve Bayes, K-NN, Principle Component Analysis (PCA), Association Rules, Recommendation System, clustering techniques, XGBOOST etc.
-
Databases: MySql, Mariadb, PostgreSql, Firebase
-
IDEs used: PyCharm, Spyder, Jupyter Notebook, Visual Studio, VS code, Atom etc.
-
Other skills:AWS Solution Architect-Associate, Adobe Photoshop, Illustrator, InDesign, Lightroom, Power Point etc.
