Operations Analytics
Demand Forecasting & Management, Transport & Logistics Optimization, Quality Analytics and more...
Operations Analytics
  • Inventory Analytics

    Inventory Analysis & Optimization, put simply, is a technique to balance capital requirements and constraints with service-level goals while managing demand and supply volatility. Conceptually, this is achieved by having the right amount of inventory, in just the right places, to meet customer service and revenue goals.

    Radical improvements in demand and inventory synchronization could be brought about with an accurate, data-led forecast that aids in balancing inventory with demand.

    Our experts can help:
    1. Reduce inventory significantly, in some representative cases by 10% ? 30%
    2. Boost your bottomline by offering insights into supply and demand dynamics to prevent lost sales or excess stocks.
    3. Deploy capital more efficiently by reducing inventory carrying costs and unlocking working capital from unnecessary inventory buffers.
    4. Achieve larger number of inventory turns.
    5. Leverage predictive modeling in Inventory Analysis and perform what-if analysis to establish the impact of different variables on the supply/demand balance.
    6. Achieve lower obsolescence rates while increasing customer service performance.
Operations Analytics Expert
Related Work
Fixed Price - Est. Time: 12 months,

We are creating repository for Learning Development purpose. We intend to catalogue thought provoking content available over the internet basis the indstury and function interested Data Scientists are invited to bid.

We are available over chat to address any queries.

Fixed Price - Est. Time: 2 months,

We need to predict the demand for a particular category of merchandise. As of now we don't have a hang of how much to produce.

Fixed Price - Est. Time: 12 months,

Our Client, A leading Data Sciences Consulting company is looking to augment their team with appropriate candidates with following skills. 

What do we expect from you?
• Analyze & interpret data and communicate results to clients, often with the aid of
mathematical/statistical techniques and software. This role requires:
• Data exploration, mathematical/statistical modelling, data analysis and hypothesis testing.
• Design, development and deployment of Predictive models and frameworks.
• Complex statistical concepts are explained in a way that clients can understand and advice on strategy.
What do you need to excel at?
• Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modelling.
• Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.
• Design and build dashboards and other visualizations in BI tools.
• Should be able to handle assigned tasks in the capacity of individual contributor.
• Demonstrate excellent teamwork.
• Collaborate with other data analysts to provide development coverage, support, and
knowledge sharing and mentoring of junior team members.
What are we looking for?
• Bachelor's in Computer Science/ Engineering, Statistics, Math or related quantitative degree
or equivalent work experience.
• Experience with modelling techniques such as clustering, linear & logistic regression, random
forest etc.
• Experience in working with unstructured data and text analytics.
• Must have a passion for data, structured or unstructured.
• 2-4 years of hands-on experience with R/Python and SQL is must.
• Should have sound experience in data mining and data analysis.
• Excellent critical thinking, verbal and written communications skills.
• Ability and desire to work in a proactive, highly engaging, high-pressure, client service
environment.
• Good presentation skills.

Fixed Price - Est. Time: 10 days,
i want to develop a code for monte carlo ray tracing for parabolic trough collector
Fixed Price - Est. Time: 12 months,

We are looking for resources with following criteria.

Number of Positions: 5

Skills:

  • He / She  must have expertise in implementing Big Data Analytics project with a minimum 5 years of relevant experience and having B. Tech or equivalent educational qualification.
  • Who can guide and lead the existing team.
  • Who can set up Analytics process which includes:
    • Define the Goal
    • Breaking down Actions
    • Matching the data to the Actions
    • Identification of Analysis needs to be done
  • Who can build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
  • Who can design and build technical processes to address business issues.
  • Who can ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
  • Who can communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
  • Assisting the team leader in various other additional activities which includes – support and hand hold business users in User Acceptance Testing etc.
  • Have exposure of handling government client.

Location: Delhi NCR region.

Contract period: Min 6 months

Fixed Price - Est. Time: 12 months,

Our Client, A leading Data Sciences Consulting company is looking to augment their team with appropriate candidates with following skills. 

Overview:
This position is for a Big Data Engineer specialized in Hadoop and Spark technologies.
Responsibilities:
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• Integrate external data sources and create data lake/data mart.
• Integrate machine learning models on real time input data stream.
• Collaborate with various cross-functional teams: infrastructure, network, database.
• Work with various teams to setup new Hadoop users, security and platform governance which should be pci-dss complaint.
• Create and executive capacity planning strategy process for the Hadoop platform.
• Monitor job performances, file system/disk-space management, cluster & database connectivity, log files, management of backup/security and troubleshooting various user issues.
• Design, implement, test and document performance benchmarking strategy for platform as well for each use cases.
• Drive customer communication during critical events and participate/lead various operational improvement initiatives.
• Responsible for setup, administration, monitoring, tuning, optimizing, governing Large Scale
• Hadoop Cluster and Hadoop components: On-Premise/Cloud to meet high availability/uptime requirements.
Education & Skills Summary:
• 2-4 years’ relevant experience in BIG DATA.
• Exposure to Cloudera/Hortonworks production implementations.
• Knowlegde of Linux and shell scripting is a must.
• Sound knowledge on Python or Scala.
• Sound knowledge on Spark, HDFS/HIVE/HBASE
• Thorough understanding of Hadoop, Spark, and ecosystem components.
• Must be proficient with data ingestion tools like sqoop, flume, talend, and Kafka.
• Candidates having knowledge on Machine Learning using Spark will be given preference.
• Knowledge of Spark & Hadoop is must.
• Knowledge of AWS and Google Cloud Platform and their various components is preferable.

Location: Gurgaon / Mumbai

No of Postion: 2/1

Fixed Price - Est. Time: 1 month,

1. We have LN software impkemented which is not indication proper analytics and visualiztion of business parameters

2. We'd like to have those parameters, visually and also in Excel.

3. The buisness parameters that we want to track are from order booking to collection. 

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We need help with our inventory planning. More details to be shared. Interested partie please contact

Fixed Price - Est. Time: 1.5 months,

We are looking at expert Data Scientists/firms who could work on helping out with service demand forecasting at service type level. 2 years of granular historical data sets shall be provided for the same. Teams with experience in the domain may bid/reach-out with queries, if any.