I picked up a little book called “Finance Basics” published by Harvard Business Review Press, for a short in-flight reading. This tiny book isn't going to make someone a finance expert but I did find a few things useful for data scientists and business analysts whose background is not finance or economics. Data science is … Continue reading How much finance you need to know as a data scientist?
In a previous blog I wrote about 6 potential applications of time series data. To recap, they are the following: Trend analysis Outlier/anomaly detection Examining shocks/unexpected variation Association analysis Forecasting Predictive analytics Here I am focusing on outlier and anomaly detection. Important to note that outliers and anomalies can be synonymous, but there are few … Continue reading Anomaly detection with time-series data
Introduction This is a quick peek into my #MicroDataScience work on housing/real estate topics. Overall I am interested in to what extent metro stations affect housing rent. For this I chose two metro stations - one is Franconia-Springfield in the south of DC and the other is Vienna-GMU in the west of DC, both in … Continue reading Apartment Rents 15% Higher Near Metro Stations
Businesses and organizations generate a high volume of data every single day – be it sales figure, revenue, traffic, or operating cost. These are valuable information for everyday business decisions and long-term policy development. Despite the tremendous potentials time series data are often under-utilized. Here are 6 ways how temporal data can be used in … Continue reading 6 applications of time series data mining
Developed at MIT’s Sloan School of Management in 1950s system dynamics is a methodological approach to model the behavior of complex systems, where change in one component leads to change in others (like the domino effect with feedback loops added). This approach is widely applied in industries such as healthcare, disease research, public transportation, business … Continue reading Data Science meets System Dynamics (Part I)
Do protected areas create spill over deforestation by shifting pressure outside restricted areas? This can undermine conservation efforts and will be unfortunate if this is indeed the case. I haven’t seen much work on this issue. There are few studies, though, which hint at deforestation leakage (see Renwick et al 2015; Ewers and Rodrigues 2008). … Continue reading Protected areas and “deforestation leakage”: There is a smoke, is there a fire?