Solution-oriented Data Science professional with academic as well as industrial experience in the entire pipeline of data science projects including Data Acquisition, Machine Learning, Data Visualization and A/B testing. My experience heavily involves munging data, building & validating Machine Learning models using scikit-learn, pandas & numpy on Python and building ETL pipelines using SQL on PostgreSQL & Google Bigquery. I have also worked on computer vision projects such as face recognition and age detection using Keras and openCV. Apart from the technical expertise, my ability to quickly put together a solution and place it in the business context plays an important role towards successfully delivering a solution. My willingness to learn, adaptability and loyalty towards a goal are a defining trait in my professional and personal development. I am always looking to share and learn from others. Feel free to connect and contact me for any job opportunities, advice, or to bounce ideas. Skills: • Programming: Python (Scikit-learn, Pandas, NumPy, SciPy, Keras, OpenCV), R, Spark, C++ • Database: SQL(PostgreSQL, Google BigQuery) NoSQL (MongoDB) • Tools: AWS, Google Cloud, Git, Google Analytics • Visualizations: Tableau, ggplot2, Matplotlib, Plotly • Machine Learning: Logistic Regression, Linear Regression, Random Forests, Gradient Boosting, Natural Language Processing, Neural Networks, Convolutional Neural Networks, K-means clustering