Summary
Overview
Work History
Education
Skills
Certification
Relevant Experience
References
Timeline
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SUMANTH BALAKRISHNAN

Data Scientist | India

Summary

Well-qualified Data Scientist, experienced in working with vast data sets to break down information, gather relevant points and solve advanced business problems. Skilled in predictive modeling, data mining and hypothesis testing.

Overview

3
3
years of professional experience
5
5
years of post-secondary education
3
3
Certifications

Work History

Operations Manager

Hotel Villa Park
, Karnataka
03.2017 - 08.2019
  • Operational cost optimization.
  • Managing budgets.
  • Maintaining statistical and financial records.

Sales Consultant

Triumph Motorcyles
Bangalore, Karnataka
08.2016 - 02.2017
  • Worked as a Sales Consultant for a Premium UK Motorcycles Company.

Internship

Hindustan Aeronautics Limited
Bangalore HQ, Karnataka
04.2015 - 05.2015
  • Studied the HR Practices of the Indian state owned Aerospace and Defense company and created a report on it.

Education

Master of Science - Operational Research And Applied Statistics(Merit)

CARDIFF UNIVERSITY
Cardiff, United Kingdom
10.2020 - 12.2021

BBM - Bachelor of Business Management

St Joseph's College of Commerce
Bangalore
06.2013 - 12.2016

Skills

    Python(Pandas, NumPy, Scikit Learn, Matplotlib, Seaborn)

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Certification

Machine Learning for beginners - Analytics Vidhya

Relevant Experience

  • Property price prediction(Regression problem)- Deployed the model built in Python using a FLASK server and built a website with the help of HTML CSS and javascript, to predict the property price in a given area when fed with various parameters.
  • Product Classification problem(Multi-class classification problem)- Applied a random forest classifier model to predict the product category(target variable) out of 36 different classes for the transactions present in the test data set. Used NLP to tackle the text in the dataset. Created a detailed report which included descriptive analysis and identified useful insights for the business.
  • Image classification problem- Built a model using Support Vector Machine(SVM) algorithm and carried out techniques such as grid search CV for tuning the model which classifies different images into its respective classes.
  • BI Project: Generated a Tableau dashboard to gain sales insights to help a business using Tableau Desktop through mySQL server.
  • Stock Price prediction(Artificial neural network)- Predicted the closing stock price of a corporation using an artificial recurrent neural network called, 'Long short-term memory(LSTM)'.
  • Disease Classification problem(Deep Learning project using TensorFlow)- Worked on a deep learning project end-to-end to classify disease in potato plant as either early blight or late blight. Built a mobile application to help the farmer understand which disease the plant has by taking a picture of it. Technology stack of this project consists of TensorFlow, TensorFlow dataset, TensorFlow serving, FastAPI, data augmentation, react js, react native, Google cloud platform (for deployment), quantization, TensorFlowlite.


References

Referred by -

Dr Jonathan Thompson

Head of School

School of Mathematics, Cardiff University

Tel: +44 (0)2920 875524 Email: thompsonjm1@cardiff.ac.uk

Timeline

SQL Essential Training - LinkedIn

04-2022

Machine Learning for beginners - Analytics Vidhya

11-2021

Tableau for beginners- Analytics Vidhya

11-2021

Master of Science - Operational Research And Applied Statistics(Merit)

CARDIFF UNIVERSITY
10.2020 - 12.2021

Operations Manager

Hotel Villa Park
03.2017 - 08.2019

Sales Consultant

Triumph Motorcyles
08.2016 - 02.2017

Internship

Hindustan Aeronautics Limited
04.2015 - 05.2015

BBM - Bachelor of Business Management

St Joseph's College of Commerce
06.2013 - 12.2016
SUMANTH BALAKRISHNANData Scientist | India