SHARE THIS PROJECT

Go Back

Project Details

Data Science Consultant

A leading Indian healthcare chain

 Mumbai / Navi Mumbai, Delhi / NCR, Kolkata, Chennai, Bangalore, Pune, Hyderabad

Posted on:  9/06/2020

Cinque Terre

Starts on:  22/06/2020

BROAD CATEGORY

Information Technology

SUB CATEGORY

Business Analysis, Technology Operations and Support, Technology Management, Software Development - Python, Data Science,

INDUSTRY

Professional services - Consulting

Company Details

A leading Indian healthcare chain

Assignment Details

Our client, a leading Indian healthcare chain is looking to engage with a consultant to help build the data science module for marketing personalisation engine.

Key Responsibilities-
1. Selecting features, building and optimizing classifiers using machine learning techniques
2. Data mining using state-of-the-art method.
3. Enhancing data collection procedures to include information that is relevant for building analytic systems
4. Processing, cleansing, and verifying the integrity of data used for analysis

NOTE - It is a 1 month remote project requiring full-time support.

Skills Required

1. Experience in Machine Learning, supervised and unsupervised: Clustering, Classification, Regression, Decision Trees, Random Forest, SVM, XGB, Time Series, Forecasting algorithms
2. Advanced programming skills for analytics ETL and model codes: R, Python, SQL queries for ETL
3. Cloud working experience: Experience in GCP/Azure tech stack is an advantage

Assignment Duration

1 month(s)

Capacity Required

Full Time

No. of Positions

1

Nature of Work

Remote

Profile Requirements

Experience: 5+ years

Qualification : Graduate

fleXpertise required

Cloud Storage Business Analytics(R+SAS)Machine LearningPythonETLAzureSQL

ESTIMATED BUDGET

-

 

info@flexingit.com | Terms of use | Privacy policy | Contact us
©2018 Flexing It® Services Private Limited. All Rights Reserved.

This website uses cookies to ensure you get the best experience on our website. By continuing to use this site, you agree to our cookie policy. Accept