- I'm lead the Analytics Practice at a Management Consulting firm
- Work closely with CXOs and focus on enhancing business value using data analytics
- Write code in Python
- Visualize data using Matplotlib, Seaborn and Tableau
- Recently completed a very math-intensive Machine Learning course from Stanford University School of Engineering (organized via Stanford Center for Professional Development).
- I have 15+ years of experience in business analytics and have worked with KPMG and Europe-based boutique consulting firms.
- Experienced across complete analytics pipeline from data cleaning, exploratory data analysis (EDA), visualization, analytics to machine learning models (predictive, classification, clustering, and others).
- Worked across multiple cultures and diverse work environments in countries including Netherlands, France, Spain, Germany, Saudi Arabia and USA.
- HR Analytics: Predicting Employee Turnover
- Housing Price Prediction
- Predicing Telecom Customer Churn
- Machine Learning models from scratch in Python w/o sklearn library
- Python (Rated top 5% in Linkedin Python Assessment Test worldwide)
- Pandas
- Data visualization (Matplotlib, Seaborn and Tableau)
- Mathematics of Machine Learning (Statistics, Calculus and Linear Algebra)
- Machine Learning Algorithms