Ingenero - Data Analyst/Data Scientist

Data Analytics + Tableau Role :

1. Having experience with BI tools like Power BI, Tableau, Dundas, SEEQ.

2. Experience with ML/AI ( Keywords :

3. Experience with Database handling like MySQL, MS-SQL, Mongo DB, PostgreSQL

4. Experience with Python or R

5. Exposure to cloud technologies is added advantage

Responsibilities and key deliverables:

Data driven model building of industrial process data for the following:

1. Multivariate Statistical Process control (MSPC)

2. Tensor Flow, Deep Learning, Time Series, Neural Networks, Classification, Clustering, Multivariate Regression, Python, Support Vector Machine, PCA, PLS

3. Time series analysis

4. Predictive modeling and forecasting

5. Fault detection and identification

6 Process optimization

7. Equipment reliability

Industry preferred: Oil and Gas /Chemical process industry

Qualification: BE/BTech (Chemical Engg preferably but other disciplines with relevant experience can be considered).

Competencies:

Required:

1. Ability to handle industrial process data

2. Techniques to handle non-stationary variables.

3. Time series modelling techniques for univariate/multivariate data

4. Pattern recognition techniques (PCA, PLS, k-means, KNN, Random forest etc) to derive patterns to classify/cluster process data

5. Ability to code any technique in Python, R

6. Proficiency in advanced Excel.

7. Theoretical understanding of Statistical techniques.

Good to have:

1. ANN, Deep learning techniques

2. Exposure to tensor flow, keras, pytorch