ANAND A. S. MOPKAR

actjqf@r.postjobfree.com 213-***-**** www.linkedin.com/in/anandmopkar

SUMMARY

Recent graduate exemplifying innovation, execution and analytic thought process, looking for opportunities in process industry. Specialties include: Process troubleshooting, chemical process design, project management, quality engineering, unrelenting focus and persistent attitude at work.

EDUCATION

University Of Southern California, Los Angeles Dec 2015

Master of Science in Chemical Engineering. GPA: 3.42/4

Relevant Coursework: Six Sigma Methods and Applications, Viscous Flow, Modeling and Analysis of Chemical Engineering Systems, Thermal Systems Design, Petroleum Reservoir Engineering, Thermodynamics

Vellore Institute of Technology (VIT University), Vellore, India Jul 2013

Bachelor of Technology in Chemical Engineering. CGPA: 8.83/10

TECHNICAL SKILLS

Design and engineering: SolidWorks, AutoCAD, MATLAB, Design Expert8, Polymath

Quality Engineering: Systat13, Six Sigma, Lean, 5S, Root Cause Analysis, DMAIC, KAIZAN, FMEA

EXPERIENCE

Process and Project Engineer, Phoenix Energy (San Francisco, CA) Jun 2015 - Present

Designing a gas treatment system to decrease the tar content of the gas generated by gasifier by using a combination of ejector and chilled water scrubber to improve the efficiency to 94% (targeted), resulting in tar concentration of 15ppm.

Prepared, scheduled, coordinated, and monitored various projects including process design, procurement, and construction.

Responsible for budget, schedule and resource management for various projects and making project status report.

Monitored process compliance to applicable codes, practices, QA/QC policies, performance standards, and specifications.

Reviewed engineering deliverables, identified gaps in scope schedule, and budget and initiated appropriate corrective actions.

Supporting FEED and detailed engineering design of a 2 MW biomass gasification facility using forestry waste.

Supported process design of a multi stage biological water treatment system, to limit volatile organic compounds to 6 ppmvd in compliance with California Environmental Protection Agency, Air Resources Board standard.

Developed 5Sed worksite plan for pilot power plant during construction of $1M expansion.

Managed procurement for $1M project expansion through equipment specs development, vendor identification.

Negotiated savings of 15% on equipment prices based on initial vendor quotes.

Process Engineering Intern, Indian Oil Corporation (Refinery) Limited (Vadodara, India) May 2012 - Jul 2012

Designed a shell and tube heat exchanger to increase the efficiency from 81% to 87.5%.

In Process Trouble shooting: designed a bypass for the fluid flow and made adjustments to process variables, such as flow rate, temperatures, and pressures, within acceptable ranges to optimize system efficiency.

Performed mass and energy balance of the atmospheric distillation plant.

Process Design Trainee, Ultramarine chemicals (Vellore, India) Oct 2011 - Nov 2011

Designed a plate and frame heat exchanger to increase the efficiency from 83% to 88%.

Performed mass and energy balance for heat exchanger, film reactor, cyclone separator and digester for the process of manufacturing of Linear Alkyl Benzene Sulfonic Acid (LABSA) and improved the conversion rate from 74% to 82%.

ACADEMIC PROJECT:

Air pollution control-landfill gas destruction for Palo Alto Landfill Sep 2014 - Dec 2014

Designed a landfill gas thermal destruction system for Palo-Alto Landfill.

Performed heat and mass balance for the landfill gas destruction process.

Created Process Flow Diagram and Process & Instrumentation Diagram for baseline and alternate destruction system

The alternate system generated a theoretical power output of 485 kW as compared to zero power from the baseline system.

PUBLICATION (Link)

Optimization of Light intensity, Nitrate concentration and Cultivation time for Biomass production by Chlorella Minutissima, an algae using Response Surface Methodology Jan 2013

Investigated Chlorella Minutissima, an algae, for biomass production under different growth conditions using response surface methodology to predict the levels of light intensity, nitrate concentration and cultivation time required to obtain an optimum combination to maximize biomass production of > 1 g/l.

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