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Managing Director at Polarstern Consulting Services LLP
Views:89 Applications:18 Rec. Actions:Recruiter Actions:9
Presales Consultant - Data Science/Artificial Intelligence/Machine Learning (6-10 yrs)
Well-versed in programming languages like R/Python/SAS - Strong ability to code with hands on experience in at least one of them
- Confident to interact with Clients and business stakeholders to talk about various in house built analytical solutions for multiple industries namely Manufacturing, BFSI, Healthcare etc. Manufacturing industry experience will be an added plus.
- Help in conducting Proof of Concepts during client engagements and enable sales to close deals by providing technical & analytical support
- Excellent communication and presentation skills to present technical contents and analytical results in a simple and easy to understand manner to larger non-technical audience.
- 3+ years of presales experience in a product or service based organization dealing with sales of BI solutions, Analytical platform, Data science solutions and Machine Learning technologies.
- 6+ years of recent professional industry experience in Data Science/Machine Learning/Predictive Modelling.
- Ability to understand and implement techniques discussed in AI research papers (academic and technical).
- Experience in data mining and building predictive & machine learning models using both structured and unstructured data.
- Understanding of machine learning algorithms like Simple Linear Regression, Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, ANN, SVM, Time Series Forecasting, Text Mining and NLP, Segmentation etc. and their applications to solve business problems across industries
- Experience in Data science project life cycle from use case framing, data exploration, model building, deployment etc.
- Understanding of various data warehousing such as RDBMS systems like SQL and Oracle including the new age dbases.
- Data Presentation skills and understanding of various visualization tools like PowerBI, Tableau, Qlik sense etc.
- Should be passionate to learn new things in the field of data science and willingness to pick up newer technologies like cloud, open source etc
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