Technologies
Python - NumPy, Pandas, Matplotlib, Seaborn, plotly, Folium, Scikit-learn | SQL | Tableau | MATLAB | MS Office | Version Control - Git
Machine Learning Concepts
Statistics | Probability | Hypotheses Testing | A/B Testing | Regression | Classification | Clustering | Neural Networks | Ensemble Learning - Bagging, Boosting | Recommender Systems | Generative Adversarial Network (GAN)
Data Management
Inferential & Descriptive Statistics | Pattern & Trend Recognition | Exploratory Data Analysis | Feature Engineering | Data Visualization | Data Modeling
Cloud and Databases
Familiar with ⇨ AWS - S3, RDS, Redshift, SageMaker, ML | Google Colaboratory | MySQL | Hadoop
CHECK OUT MY PROJECTS BELOW
Pose Detection and Transfer
Do-AS-I-Do | Python | OpenPose | Deep Learning
Predict Customer Churn
Python | Classification model - AdaBoost Classifier
Salary Prediction
Python | Feature Engineering | Regression - Gradient Boosting model
2018 U.S. Senate Elections
Python | Tableau | Regression | Classification
Netflix Recommendation System
Python | Surprsie | SVDpp
Predict Species - The Classic Iris Dataset
Python | Classification model - Logistic Regression