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Sourodip Kundu

@sourodipkundu

Data Scientist

Bangalore, Karnataka

linkedin.com/in/sourodipkundu

Mahindra TEQOInternational Institute of Information Technology - Bangalore

Sourodip is an enthusiastic Data Scientist and Machine Learning Engineer with a clear understanding of Statistical Analysis, Data Cleaning, Machine Learning, NLP, and Deep Learning. He has experience working with state-of-the-art models in renewable energy asset management and developing advanced analytics dashboards. He is motivated to contribute to industry success through hard work and technical expertise.

Experience

Data Scientist

Mahindra TEQO

•Aug 2021 - Present•Bangalore, Karnataka

Working with state of art models and algorithms to manage renewable energy assets. Building next Generation analytics Dashboard for renewable energy assets. Collaborated with the various clients for identifying and gathering analytical requirements for our product.

Data Scientist

TEOCO

•Mar 2020 - Aug 2021•Kolkata

Collaborated with internal stakeholders, identifying and gathering analytical requirements for customer, product and projects needs. Leveraged analytics to drive business development, productivity and process improvement and marketing strategies, including customer lifetime modeling, acquisition, retention, win backs and monetization. Built tools to automate processes such as Telecom processes.

Data Analyst & Machine Learning Engineer

Freelancer

•Jan 2019 - Mar 2020•Kolkata, West Bengal

Analyses stock data using MS SQL and Power Bi. One Churn prediction for a insurance company. Reate resume parser for Human resource.

Education

West Bengal University of Technology - Kolkata

Bachelor of Technology

Computer Science & Engineering

Nov 2014 - Nov 2018

International Institute of Information Technology - Bangalore

Post-Graduate Diploma

AI & Machine Learning

Nov 2020 - Dec 2021

Skills

Machine learning
Data Mining
Dash
Plotly
TensorFlow
Python
Deep Learning
Statistical Analysis
Statistical Modelling
SQL
GIT
JULIA
ALGORITHMS
C++
MLFlow