What I do
I have more than 9 years' experience analyzing data for clients all over the world. Below is a quick overview of my main technical skill sets and technologies I use. Want to find out more about my experience? Check out my project portfolio.
Data Analysis
SQL, MySQL, PostgreSQL, Python (Pandas, Numpy,SciPy), R, MS Excel (Pivot Tables, VLOOKUP, VBA), MS Access.
Data Visualization
Power BI, Tableau, Matplotlib, Plotly, Seaborn, R Shiny.
Machine Learning
Tensorflow, Scikit-learn, Keras, PyTorch, NLTK, Theano.
Cloud Computing
AWS (EC2, RDS, DynamoDB, Redshift, Glue, SageMaker, Lambda), Azure (Cosmos DB, VM, SQL,App Service, Databricks, ML, Kubernetes, AD), GCP (CE, App Engine, AutoML, BigQuery)
Financial Analysis
Financial Modeling, Valuation (DCF, DDM, Comparables), Sensitivity Analysis, Financial Ratio.
Risk Analysis
Value at Risk (VaR), Monte Carlo, Expected Shortfall, Historical Simulation (HS), ARCH and GRACH model, Stress testing, Tail distribution.
Quantitative Analysis
Backtesting, Portfolio Optimization, Option Valuation (Binomial, Black-Scholes, Monte Carlo), Statistical Analysis (Regression, Hypothesis Testing), Multi Curve Interest Rate modeling.
Research
Economic Research, Company Background Research, Industry Research, Thematic Analysis, Surveys.
Featured Projects
Tableau Dashboard
Sample Tableau Dashboards.
NHL Data Analysis
Create MySQL database using Kaggle NHL dataset.
ML Fraud Detection
Machine Learning method to handle unbalanced data.
Canada Covid-19 Data Visualization
Canadian provincial Covid-19 data analysis.