We are desirous of increasing the conversions amongst the unique visitors that come to our website each day. We capture basic prospecting data about our visitors and would like to leverage that data to increase our leads/sales. We are looking at agencies that could help us with a tangible improvement with a short term project. Subsequently, we could convert this into long term retainership based contract.  

Data Scientist:

• Resources having 3-5 years of experience in Data Science building predictive models
• Having knowledge of Optimization and Simulation
• Good proficiency in R and Python
• Knowledge of Trade Promotion Optimization would be plus

Experience:

• 3 to 5 years

Job location:

• Bangalore/Chennai/ Hyderabad (WFH at the moment)

Duration:

• 3 months. May get extended.

Joining:

• immediate

SAS BI Consultant:

• Rich experience on SAS BI Tools
• SAS Web Reporting Studio, SAS OLAP Cubes, SAS IMAP, SAS Management Console, SAS IDP, SAS AMO, SAS stored process
• Knowledge in SAS BASE
• Shell scripting, DML, DDL ,Data warehousing
• Design reports using SAS BI
• No of position-3
• Role & Responsibilities - Dev and Testing Skills
• Experience - 3-6 years of experience
• Location – Delhi NCR

Position: NiFi /Big Data Developer 

Must Have Technical Skills: NiFi

Good to have Technical Skills: Python, ETL

Preferred Industry Experience: Telecom

·         Extensive experience on Nifi to setup data pipeline.

·         Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi

·         Extensive experience in Python

·         Food understanding on Spark, Spark Streaming & PySpark.

·         Good understanding of Big Data components

Nos of Resources required: 2 to 3

Work location: Remote

Qualification: BTech

Experience: 4 yrs – 5 yrs

Mobilization Period in weeks: 1 week

Duration: 3 to 6 months  

We have two plant which we manufacture over 500 items. At both two plants operations run in 2 shifts. Both plant have capability to manufacture all 500 items, but the costs to manufacture is differnt at both plant.

Our senior mangement want to have dshboard that give visibiity:

1. What is made at which plant

2. Costs to manufacture item wise

3. Best production plan that will ensure products are made at the cheapest price

4. Ability to change the plan and see 

Experts whi can help, please get in touch. 

Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.