Analizë e Serive Kohore Jobs

produce a full InSAR time-series analysis from a set of Sentinel-1 images, rather than individual interferograms. The required outputs are: A time-series deformation dataset, where displacement is tracked through time for each pixel across all acquisition dates A mean velocity map (mm/year) derived from the full time-series, showing long-term deformation rates across the study area A set of time-series graphs for selected points, illustrating how displacement changes over time In simple terms, the goal is to combine all available SAR images into a single coherent analysis that shows both the temporal evolution of ground deformation and the average deformation rate, rather than just displacement between two dates.

I need a compact, easy-to-use application that takes our historical sales data for multiple molecules and converts it into reliable demand forecasts over weekly, monthly, and quarterly horizons. Accuracy and transparency are essential because the results will drive production planning and purchasing decisions across several plants. Core scope • Ingest CSV or Excel files of historical sales pulled from our ERP. • Clean, normalize, and visualize the data so outliers or seasonality jumps are obvious. • Apply proven time-series or machine-learning techniques (ARIMA, Prophet, LSTM—whichever best fits the data volume and variability) to generate baseline forecasts and confidence intervals. • Allow me to tweak parameters—e.g., switch models, adjust seasona...