Sarupa Debnath

+1-780-***-**** • adzpn2@r.postjobfree.com • linkedin.com/in/sarupa-debnath • 31 Saddleback Road NW Edmonton, Alberta, T6J 4M4 Advanced Process Control (APC) Engineer

Experienced research and analytics professional with a strong passion for advanced process control (APC) and machine learning techniques. Leveraging five years of petrochemical industry experience and a Ph.D. in Computer and Process Controls, I have developed ML algorithms for APC, published in reputable journals, and presented at global conferences. Excited to drive innovation and transformative solutions in the industrial landscape. SKILLS

Data Preparation • Statistical Data Analysis • Data Modeling • System Identification • Data Assimilation • Data Filtering

(Kalman Filter) • Data Visualization • Machine Learning Tools (MLP, Deep Learning, RNN, Clustering Methods) • Model Predictive Control and Optimization • Microsoft Office • Programming Languages (Python, MATLAB, C) • Process Simulation Software (Aspen Plus, HYSYS, Polymath) • SAP in Oil and Gas Industry • Communication and Interpersonal Skills • Creative Thinking.

WORK EXPERIENCE

University of Alberta Sep ’19 - Present

Graduate Research assistant

• Developed distributed state estimator for reactor systems, improving product concentration estimation performance and computational time by 47%.

• Implemented LSTM-based reduced models for accurate and efficient product concentration estimation, reducing computational time by 23%.

• Created cluster-based reduced models for large-scale systems, improving accuracy and resource efficiency.

• Applied clustering-based reduced-order models to microwave remote sensing data, enhancing accuracy and computational efficiency by 43%.

• Developed real-time tracking model predictive control using reduced-order models for agro-hydrological systems, resulting in 6% water conservation and energy savings.

• Collaborated on projects including irrigation scheduling optimization and sensor selection for biomanufacturing processes, achieving significant improvements in crop yield and estimation accuracy. Graduate Teaching assistant

• Instructed undergraduate and graduate courses in Computer and Process Control and led lab sessions and provided hands-on guidance in process data analysis, process dynamics and control, and process identification.

• Mentored undergraduate students in Python programming for data analysis and guided projects, such as designing neural network models for remote soil moisture estimation.

• Served as the Principal Instructor for Process Data Analysis, delivering lectures, assisting students with MATLAB programming, creating assignments, and conducting exams. GAIL (India) Limited

Manager Mar ’19 – Aug ’19

• Utilized Aspen Plus and HYSYS for plant simulation and process improvement, leading to increased production efficiency.

• Developed Engineering and Operator Training Simulator using Aspen Online for new executive training.

• Managed plant modifications, trip and incident analysis, and MIS (management information systems) reporting. Senior Engineer July ’14 - Mar ’19

• Contributed to a major gas-based petrochemical plant commissioning, startup, and efficiency enhancement, achieving 10% annual profit generation.

• Developed a regression model optimizing furnace startup temperature range, reducing fuel consumption and improving efficiency which was recognized as the best paper in 2015.

• Managed complex tasks including gas distribution balancing using SAP and system improvements through data analysis.

EDUCATION

Ph.D. in Computer and Process Controls University of Alberta GPA-3.7/4 Sep ’19 - present B.E in Chemical Engineering Jadavpur University GPA-3.7/4 July ‘10 - June ‘14 PROJECTS

University of Alberta July ’22 – Aug ’23

• Devised an irrigation scheduler, applied to a Lethbridge study field, yielding an 8% reduction in water consumption and a 6% enhancement in crop yield.

Jadavpur University Sep ’13 - Mar ’14

• Developed a MATLAB-based mechanistic model for a bioreactor targeting CO2 dynamics, demonstrating strong agreement with experimental data within a 7% margin. Indian Institute of Science (IISc) May ’13 – Jun ’13

• Performed a study on modeling Sulphur-containing drug solubility in supercritical CO2, culminating in an optimized predictive model through rigorous data analysis and semi-empirical modeling. AWARDS

• Alberta Graduate Excellence Award 2021 issued by Government of Alberta

• Graduate Student Teaching Awards 2023 issued by FGSR

• Alberta Doctoral Recruitment Scholarship 2019

• Ranked All India Rank 8th in Graduate Aptitude Test in Engineering (GATE) 2014

• Received 1st rank in the Chemical Engineering department at Jadavpur University in 2014