Hello, my name is Shivani Dharmavaram. I am a Big Data Engineer and PhD student in Information Technology with over five years of experience designing and scaling cloud-based data platforms across healthcare and analytics domains. My expertise includes data engineering, ETL pipeline development, cloud architecture (GCP, Azure, Snowflake), and translating complex data into actionable insights.

I am motivated to volunteer with Solve for Good because I strongly believe technology and data should be used to create meaningful social impact. Throughout my career, I have worked on large-scale data initiatives that improved decision-making, efficiency, and governance, and I am eager to apply these skills to mission-driven nonprofit projects.

My project preferences include data strategy and analytics, dashboarding and reporting, cloud-based solutions, and projects focused on healthcare, education, or social equity. I enjoy collaborating with cross-functional teams and working with non-technical stakeholders to deliver practical, sustainable solutions.

Through this volunteer work, I hope to contribute technical value while learning more about the nonprofit ecosystem and supporting initiatives that create positive, real-world change.

Personal information
Full name: Shivani Dharmavaram
User name: dshivani2994
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: Master's on Analytics (Harrisburg University of Science and Technology)
LinkedIn profile
Volunteer availability
Start date: None
End date: None
Hours available per week: 15
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Computer Science (Algorithms)
Python
C/C++/C#
Java
JavaScript
Data in Relational Databases
Data in Text Files
Data > 1TB
Data from Sensors
Multimedia Data (Video or Audio)
SQL
GIS tools
Text Data (NLP)
Network/Graph Data
Geospatial
Data Visualization
Experience working on real-world problems using data
Experimental Methods (RCTs, A/B testing, etc.)
Social Science (Economics, Sociology, etc.)
Data Analysis
SVMs
Random Forests
Neural Networks / Deep Learning
Time Series Models
Unsupervised models
Semi-Supervised models
Graphical models
Causal inference
Decision Trees
Matching (e.g., Propensity Score Matching )
Regression Discontinuity
Instrumental Variables
R
SPSS
Matlab
SAS

Volunteer projects

No volunteer work yet.