Planetary science graduate with experience in orbital data analytics, numerical modelling, statistical analysis, and data processing pipelines in Python and SQL.
📧 farisbeg.mirza@gmail.com | 📍 Berlin
Geophysical investigation of Noctis Mons, Mars: using MOLA, MARSIS radar dataets and numerical plume modelling, at DLR Berlin.
Skills: Scientific Programming, large-scale orbital data processing, RBF interpolation, radar
dielectric inversion, elastic flexure (numerical) modelling, spherical harmonics
Tools: Python, NumPy, SciPy, GeoPandas, pyshtools, QGIS, Matplotlib
End-to-end SQL analytics project on 51,290 global retail transactions: identifying which products, regions and customers drive profit and which quietly lose money despite high sales.
Skills: Star schema design, exploratory analysis, time series, window functions (OVER, PARTITION BY, LAG, RANK, DENSE_RANK), CTEs, segmentation. Tools: SQL (SQLite), Python, pandas, SQLAlchemy, Jupyter, ipython-sql
Contains projects from a data analytics practicum program covering Python, SQL, statistical analysis and Tableau. We conducted a case study on British Election Survey 2010 - testing whether household income predicts political party preference among UK ethnic minorities. Chi-square analysis in Python (p = 0.0003)
SQL Analysis: 10-query PostgreSQL covering GROUP BY, JOINS, subqueries and date functions.
Tableau Dashboard: Live link
Tools: Python. Pandas SciPy Matplotlib. SQL PostgreSQL, Tableau
- Geophysical Investigation of Noctis Volcano on Mars — ESS Open Archive / DLR e-Library
- Inverted River Channels in Alcañiz: Insights into Mars' Fluvial History — EGU Blog