Modeller- Process Data Science
1 month ago
Profile - Modeller - Process Data Science (PDS)
Location - Pune (WFO)
Experience- Min 4 yrs
Essential Duties and Key Competencies
• A Chemical Engineer with strong understanding of pharma / Biopharma manufacturing processes as mentioned below:
Biopharmaceutical industry
Pharma (API & Formulation) processes
• Document and detail the modelling requirement for the projects (Biopharma, API, formulation processes)
• Responsible for providing all Data driven and advanced modelling solutions and frameworks using python
• Provide solutions using heuristics, inductive and case-based reasoning for data-driven techniques • Derive and extracting the information such as pattern /deviation, control limits and various other insights from time-series dataset
• Data Imputation/ Mining/ Feature engineering/ Feature extraction/ Data Transformation and Manipulation on near- real time signals
• Applying various advanced inferential statistical layers to test the null hypothesis of the model using python, and estimating it’s performance using available metrics
• Devise the methodical (Practical) ways for implementing advanced multivariate optimization and complex non-linear Advanced ML techniques for feasible and stable solutions • Creating advanced interactive visualization/Dashboards using Python
• Responsible for delivering Advanced Analytics use cases for Specialty chemicals, pharma, and life-sciences industry
• Takes complex questions and develops and executes a plan to collect, explore, and analyse data to make business decisions
• Build and improve on Macros to make data processing and presentation more efficient
• Must have organizational skills; ability to handle multiple projects simultaneously
• Good level of statistical knowledge/experience.
• Strong communication skills (written and verbal); ability to present communication plans to customers
• Ability to query databases and perform statistical analysis; strong understanding of statistics and statistical theory
• Responsible for delivering Advanced Analytics use cases using Seeq and azure
• Collaborates with SMEs to develop procedures for collecting, recording, analysing, and communicating data for review and feedback
• Experienced with Minitab environment for MVA and QbD models for evaluating the design space • Extract analogical reasoning-based solutions from large volume of historical dataset and past outcomes
• Strong experience (Hands-on) on statistical/ Modelling/Coding tools like Python, Spyder, pycharm, jupyterlab, Matlab, R, SIMCA Online, SQL, Seeq, Azure, AWS, DataRobot, SoftAnalytics, Orange, Data-e, Azure, C++, java, AutomatedML, designer, S3Bucket, MLflow, Azure SDK
If Interested send me your resume in arshita.shetty@ipsgroup.co.in
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