ANIRBAN, an astute professional brings with his out of total 19.10 years experience has spent significant time working with key customers across the globe (US, UK, Europe, Australia and Asia) & brings in extensive experience in area of Big Data, Analytics, Business Intelligence (BI) and Information Management.
Horizontals : E-Commerce (B2B, B2C, C2B) I CRM |Adv. Analytics I Logistics I ERP I
Verticals : Retail I Telecom I Hospitality |Healthcare I Energy & Utilities
Hourly, daily, monthly Forecasting of O2, N2 Gas Consumption using Time Series Analysis
For implementing the same, I used statistical methods like ARIMA & Holt-Winter for the time series analysis. Also made use of R packages like tseries, forecast, digraph, Rserve to figure out best time series model in R. Used R-script through Tableau for data rendering.
Forecasting gas consumption for different customers using last 2 years historical records of per hour gas consumption was successfully done. ARIMA and Holt-Winter have been used for forecasting next 6 hours, 6 days & 3 months consumption. Also, another data set was last 1 year minute level gas consumption data and have predicted the consumption for next 6 minutes and also for next 6 hours.
JoulestoWatts Business Solutions Private Limited
SJR I Park, Ground Floor, Tower 4,
Plot No. 13,14 & 15, EPIP Area, Whitefield, Opp. Satya Sai Hospital,
Bangalore 560 066,