decision scientist

Resume posted by sanyalatmadeep in IT.

Desired position type: Any
Location: Bengaluru Karnataka, India

Contact sanyalatmadeep


I have worked for more than a year in the field of analytics and have gained experience in text analytics, HR analytics, statistics and machine learning. I am an active member of kaggle where I have worked on data visualization and machine learning projects. I wish to further my knowledge of data science and would look for the opportunity to work with big data and create impact on the decision making process of a business. The ability to lead, be part of a team or work as an individual contributor depending on the requirement of the project


Secondary (2008) – CBSE DPS, Kuwait 89.4%

Higher Secondary (2010) – CBSE DPS, Kuwait 90.8%

B.Tech (2014) – Mechanical Engg NIT Warangal 6.10 (CGPA)

Relevant courses taken

 Design and analysis of experiments, Management science and productivity, Process planning and project management, statistical analysis, data visualization


 Head boy for the final year of school

 Captain of school cricket team

 Represented school in table tennis on a national stage in Kuwait

 Executive head for the mechanical engineers association in first year of college

 Chosen as campus ambassador for Mu sigma from among 13 other employees in college


Professional experience
Mu-Sigma Business Solutions (June, 2014 – present) Trainee decision Scientist

Text Analytics

 LDA topic modelling to recognize important topics in a customer feedback survey  Machine learning to classify based on set categories

 Sentiment analysis using supervised approach

 Word prediction using Markov modelling and n-gram modelling

HR Analytics

 Analysis of employee performance by survey analysis

 Used clustering and factor analysis
Data Management

 Created a tool to take data available on the web and create a model ready customizable dataset with the help of a shiny UI

Kaggle projects

 Data visualization

o Used effective visualization principles and techniques to create a visualization for the Colorado State Board of Education with the help of MS Excel and R.

o Pointed out the key areas the CSBE needs to concentrate on to improve the quality of education in Colorado

 Machine learning from disaster

o Used the machine learning technique of random forests in Python and R to predict survival rate among passenger aboard the titanic


  • R
  • python
  • excel
  • Javascript
  • html


    Machine Learning, nlp, statistics, visualisation

Groups & Associations


Spoken Languages

    English and French