Analyse Structured Data and Be Proficient with Ml Skills
manipulate High-volume, High-dimensionality Data from Varying Sources to Highlight Patterns, Anomalies, Relationships and Trends
apply Ai/machine Learning Technology to Solve Real-world Problems like Retail, Fmcg
analyze and Visualize Diverse Sources of Data, Interpret Results in the Business Context and Report Results Clearly and Concisely
execute Both Descriptive and Inferential Requests and Provide Strategic Solutions to the Clients Within Fixed Tat
communicate and Present Models to Business Customers and Executive
work Collaboratively with Different Business Partners and Be Able to Present Result in a Clear and Concise Manner
5+ Years of Experience of Functional Programming with Python, R
5+ Years of Experience with Machine Learning and Artificial Intelligence Techniques and Tools such as Time Series, Regression, Classification and Clustering, other Areas of Ml
special Emphasis On Time Series Based Regression Models Implementation and Leverage Statistical Knowledge with Regard to the Problems At Hand
demonstrate Ability in the Application of Machine Learning/ai in Real-world Industrial Settings
preferred Qualifications:
experience with Machine Learning Tools such as R, Python, Azure Ml
experience in Ai, Ml Ability to Initiate and Drive Projects to Completion with Minimal Guidance
if There is Experience with Data Sources and Platforms (unix/linux, Hadoop, Oracle, Sql Server and Db2)
experience with Deployment of Models Using R and Python and also Predictive Model Monitoring
strong Oral and Written Skills