Sanjana Srivastava
McLean
Summary
Innovative data scientist with an advanced degree in Aerospace Engineering and extensive experience in optimization, simulation and modeling, and working on large data sets. Proficient in analyzing and visualizing data sets in SQL, Python, MATLAB, and Power BI.
Overview
3
3
years of professional experience
Work History
Data Analyst
Astor & Sanders
2024.07 - Current
- Developed and maintained database and generated reports for a software modernization project for the Defense Manpower Data Centre (DMDC).
- Developed custom algorithms to optimize data mining, increasing the effectiveness of analytical insights.
Graduate Research Assistant
University of Illinois, Urbana, Champaign
2022.03 - 2023.12
- Researched and developed algorithms and software on the campus cluster in Python to measure the obstruction of over 10,000 Solar Systems observations made by the Legacy Survey of Space and Time (LSST) by the Vera C. Rubin Observatory in Chile, by large-scale satellite constellations consisting of over 30,000 satellites.
Graduate Teaching Assistant
University of Illinois, Urbana-Champaign
2023.01 - 2023.12
- Graduate TA for 500, 400 and 300 college-level courses for over 100 students
- Taught a class of 100+ students online and offline for two class lectures
- Refined class delivery and mentored students through hybrid office hours and one-on-one communication.
Intern
Aeronautical Development Agency
2022.01 - 2022.05
- Engaged in discussion and analysis of live trials of the naval prototype of Light Combat Aircraft Tejas taking place at the Indian Naval Station (INS) in Hansa, Goa.
Education
Master of Science - Aerospace Engineering
University of Illinois At Urbana-Champaign
Champaign, IL12.2023
Bachelor of Technology - Aeronautical Engineering
Manipal Institute of Technology
05.2021
Skills
- Python, MATLAB, ANSYS, C++, AutoCAD, CATIA, Microsoft SQL Server, Power BI Report Builder, SSRS.
Projects
- Heuristic Algorithms used in Multidisciplinary Design Optimization
For undergraduate thesis, analyzed and assessed the application of three heuristic algorithms (Particle Swarm Optimization, Genetic Algorithm, Simulated Annealing) to minimize the mass of a trilobed airship using MATLAB.
- Simplified 6-DOF Trajectory Simulations for Stardust SRC and Space Shuttle
Optimized a six degree of freedom model of trajectory simulations for Stardust SRC and NASA's Space Shuttle and solved it through numerical integration in Python as part of a team of two in Planetary Entry.
- Spacecraft Optimal Docking Procedure Using LQR and Moving Targets
Designed and implemented a controller for a spacecraft docking procedure using a linear-quadratic regulator (LQR) in MATLAB. Tested the docking algorithm across three different optimal trajectory scenarios.
Timeline
Data Analyst
Astor & Sanders
2024.07 - Current
Graduate Teaching Assistant
University of Illinois, Urbana-Champaign
2023.01 - 2023.12
Graduate Research Assistant
University of Illinois, Urbana, Champaign
2022.03 - 2023.12
Intern
Aeronautical Development Agency
2022.01 - 2022.05
Master of Science - Aerospace Engineering
University of Illinois At Urbana-Champaign
Bachelor of Technology - Aeronautical Engineering
Manipal Institute of Technology
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