SJShouvik Jha
@shouvikjha
Data Science Consultant at Accenture Applied intelligence
Bengaluru, India
Shouvik Jha is a Data Science Consultant with extensive experience in delivering value-driven analytics for various industries. He specializes in leveraging machine learning, AI, and big data solutions for classification, prediction, and customer segmentation. His expertise spans GIS, image processing, and advanced statistical modeling, including time series analysis.
Experience
Data Science Consultant
Accenture Applied intelligence
Design, Solution and deliver value driven analytics for Retail and Consumer Goods clients leveraging 1st Party and 3rd Party Data. Different customer segmentation and geo-location analytical problem in order to build the solution to the business. Utilize different machine learning models for classification and prediction problem in order to solve the business problem. Working on big data in order to create end to end machine leaning model to make a intelligence decisions from the data.
Senior Engineer - Data Analytics
Robert Bosch Engineering and Business Solutions
Worked on different satellite images classification problem using machine learning and artificial intelligence. Development of algorithm for image processing using computer vision and deep learning. Development of algorithm for Crop yield modelling using Artificial Intelligence and Machine Learning. Statistical modelling for analysis of weather data and others data to build a predictive modelling.
Senior Consultant - GIS
AMNEX Infotechnologis Pvt. Ltd.
Algorithm development for analyse the weather and agriculture data. Development of algorithm for image processing, classification etc using Machine learning algorithms. Development of crop yield forecasting model based on different ML model implementation. Statistical analysis (Regression, Correlation Coefficient, and time series analysis) of data sets using Python.
Research Assistant
Indian Centre for Climate and Societal Impacts Research
Performing of supervised algorithm i.e. Support Vector machine, Logistics regression to predict the weather. Climate dataset i.e. Global Climate Model (GCM), Tropical Rainfall Measuring Mission (TRMM), European Space Agency (ESA),etc. Using ARIMA, SARIMA to analysis the trend of data and predict the variables.
Education
Simplilearn and IBM
Master in Data Science
Data Science
Bharati Vidyapeeth Deemed University
M.Sc. Geoinformatics
Geoinformatics (Minor Statistics)
Calcutta University
B.Sc. Geography
Geography (Minor Economics)