I am Sharadwata Ganguli, sharing brief details about myself: • 12 years of experience in using Quantitative Primary Market Research data to answer business/ marketing questions using a variety of data analysis, exploration and visualization techniques. • Proficient in supervised and unsupervised learning, NLP, network analysis, data science ethics, deep learning, causal inference, databases, experiment design, data exploration & visualization. • Working experience of 10 years in Data Science applications like Driver Analysis, Segmentation, Pricing and communicating the findings and implications to senior stakeholders • Also experienced in development and launch of Enterprise scale insights solutions

Am interested in volunteering for Data Science for Social Good as I believe Data Science holds tremendous potential to enable, to support a better society -by providing insights, by helping to optimize, by providing nudges small and large. I would prefer volunteering opportunities that would utilize my data science skills -particularly in Machine Learning, Data manipulation and Visualization, Causal Inference and Experiments.

Personal information
Full name: Sharadwata Ganguli
User name: sganguli
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Master's on Masters in Applied Data Science (University of Michigan)
LinkedIn profile
Github profile
Portfolio
Volunteer availability
Start date: None
End date: None
Hours available per week: 5
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
Network/Graph Data
Data in Relational Databases
Multimedia Data (Video or Audio)
SQL
Data in Text Files
Text Data (NLP)
Experience working on real-world problems using data
Data Visualization
Social Science (Economics, Sociology, etc.)
Experimental Methods (RCTs, A/B testing, etc.)
Data Analysis
Causal inference
Decision Trees
Random Forests
Time Series Models
Unsupervised models
Semi-Supervised models
Graphical models
Neural Networks / Deep Learning
SVMs
Regression Discontinuity
Instrumental Variables
Matching (e.g., Propensity Score Matching )

Volunteer projects

No volunteer work yet.