Shirish Maharjan is a Computer Engineer and Big Data Analyst adept at leveraging data science for environmental and sociological insights. He holds an M.Sc. in Information Engineering and Computer Science from Hochschule Rhein-Waal, Germany, and a B.E. in Computer Engineering from Pokhara University, Nepal. Shirish previously served as a Research Associate at the Global Institute for Interdisciplinary Studies (GIIS). There, he conducted climate vulnerability assessments, analyzed CMIP6/ERA5 data, and performed Species Distribution Modelling.
His expertise encompasses remote sensing, data analysis, and applying ML/AI algorithms (Random Forest, SVM, Neural Networks) for predictive modeling. He is proficient in Python (scikit-learn, TensorFlow), R (Biomod2, ggplot2), SQL, and cloud platforms like AWS, with strong skills in geospatial tools (GEE, ArcGIS) and big data technologies. Driven by a commitment to using data for impactful solutions, Shirish values collaborative research and knowledge sharing. Passionate about data-driven approaches to complex challenges, particularly in climate change and conservation, his past contributions include co-authored publications and the development of interactive data visualization dashboards.