Siddharth Sandu
Data Analytics Engineer| Gaiaviz | Ex-intern at SONY LLC | Pursuing MS in Data Analytics Engineering
- Role
- Data Analytics Engineer at Gaiaviz
- Location
- Fairfax, VA, US
- LinkedIn followers
- 500 followers
About Siddharth Sandu
As a Data Analytics Engineering Master\'s candidate at George Mason University, I bring a rigorous academic background combined with practical experience in data analysis, visualization, and machine learning. My tenure at The Language Bureau PVT LTD as a Jr. Data Analyst and a Data Analyst Intern allowed me to leverage advanced analytical techniques to drive significant improvements in user engagement, retention, and course completion rates. With a strong foundation in programming languages such as Python, R, SQL, and expertise in tools like Tableau, Power BI, and Hadoop, I excel at transforming big data into actionable insights.My project work, including developing a movie recommender system and implementing machine learning to combat cyber-attacks, showcases my ability to apply data-driven solutions to real-world problems. Recognized for my contribution to the field with a publication in \"Futuristic Trends in Computing Technologies and Data Sciences,\" I am committed to leveraging artificial intelligence and machine learning to drive decision-making and process optimization. I am currently seeking opportunities to contribute my skills in data science and analytics to innovative projects and teams.
Experience
Data Analytics Engineer
Aug 2024 — Present · VA, US
Developed a network-based model to analyze global financial flows between donors and recipients using Python, Pandas, and CSV datasets.Created modular nodes and tags to represent donors, recipients, and disbursements, leveraging geolocation data for spatial visualization.Grouped transactions into five-year intervals and scaled disbursement values to normalize financial data for trend analysis.Constructed multi-layered relationships by linking donors to recipients via disbursement nodes, with disbursement amounts serving as weighted links.Ensured data integrity by cleaning and transforming datasets, removing duplicates, and handling missing values.Optimized node-tag data structure for graph-based visualization tool on Gaiaviz application to enable advanced insights into financial interactions over time.Generated final node and tag files for visualization, demonstrating trends, financial flows, and key actors in the donor-recipient network.
Education
George Mason University
Master of Science - MS
2023 — 2024
Pawar Public School Kandivali
ICSE
2014 — 2015
St. Francis Institute Of Technology
Bachelor of Engineering - BE
2017 — 2022
SVP college of science and commerce
HSC
2016 — 2017
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