PRANIT PANKAJ

Executed and delivered AI solutions for Healthcare, Retail, Sales and GIS domains using predictive modeling. Utilized querying, visualization and analytics tools and libraries to analyze and process complex datasets, and worked on recommendation engines using different hybrid and stacked models. Responsible for developing large-scale predictive models (1-3 million training data) followed by production ready, modular, reusable and scalable code on Azure Machine Learning Platform. Built a NLP model for the social media analytics in which we extracted the information of brand values based on the comments of users in facebook and instagram. Accomplished different charts and visualizations using Power BI. Performed analysis and executed models with the Geospatial data using SQL and python, and worked on Hierarchical Time Series Forecasting for retail and sales data. Worked on the pipeline to run the predictive model for various countries.

Developed a code of an application used for monitoring an applicant during an exam. Used kivy and opencv libraries in object oriented programming in python.

Data analysis of the demand and orders of A-B-C class items in inventory, estimating the lead time to reach material in inventory and allocating budget hours on the different processes for price optimizations. Proved successful working within tight deadlines and a fast-paced atmosphere of the manufacturing sector.

M.TECH project:- Estimated the siltation rate and erosion rate on the Eden navigation channel located in Bay of Bengal using a neural network regression model. Used a random forest classifier to classify the data into two categories.