I am a highly motivated data scientist offering proficient capability in data processing, statistical modeling, spatial data analysis, data visualization with the problem-solving capability and strong can-do mindset, well-developed communication, and keen analytical interest.
If someone asked me “what’s the cool thing about data?” I would say, ” Reconstruct and sketch this amazing world.” As an NYU student with experience and enthusiasm in data analysis, I do love data especially spatial data.
I am full of this enthusiasm and curiosity because I do want to explore this unknown world, and data or spatial data is quite such an interesting way to satisfy my eager to find, explore and enable me to be inspired.
Core Competencies:
Data Analysis • Data Visualization • Data modeling techniques • Communication
– Strong quantitative and analytical skills.
– Strong presentation skills and communication skills with clients.
– Statistical and Business Analysis: Hypothesis Testing, Time Series, Text Mining(sentiment analysis, topic analysis, frequency analysis).
– Machine learning: Classification; Regression; Clustering; PCA; Random Forest; Bagging and Boosting.
– Languages/Software/Tools: SQL, Python, R, D3.js, HTML, Advanced MS Excel, Alteryx
GIS software(ArcGIS, ENVI, mapbox, Carto), Spatial Data(kml/geojson/shp/xml),
Data Visualization(Tableau), Cartography(GIS software)
Some other personalities were revealed as below:
– Enjoy problem defining and problem-solving based on data and research.
– Love adventure, exploration, and communication with strong curiosity.
– Detail-oriented working attitude with broad-minded life perspective.
– Cooperatively working with different groups of people.
– Carrying a sense of achievement to finish any projects or challenges with continuous commitment and dedication
– Love unique ideas and new things.