Ananth Kotti has a Master's degree in Industrial Engineering from the University of Pittsburgh and a Bachelor's degree in Chemical Engineering from Birla Institute of Technology and Science in Hyderabad. He has work experience in quality operations at Mylan Inc. and internship experience in quality assurance, supply chain management, and process optimization. His academic projects include establishing statistical process control, standardizing processes, and benchmarking manufacturing processes. He is proficient in Lean Six Sigma tools and techniques as well as technical skills like Minitab, MS Project, and statistical analysis software.
USUGM 2014 - Gerald Wyckoff (Chemalytics): Development of the Chemalytics Pl...ChemAxon
Structure-based virtual screening is an important tool in the drug discovery process. The use of computational tools has allowed for the screening of large libraries of chemical compounds to identify putative ligand-receptor interactions. The identification of valid targets and therapeutic compounds has long-term importance both to public health and the economic strength of the pharmaceutical industry. Receptor-based virtual screening (VS) is a technique in which computational tools are used dock small molecular weight compounds into a protein receptor or enzyme. This technique is most often used in drug discovery, where a large library of chemical structure can be docked and scored to assess the potential if a compound to bind to a drug target. However, high-throughput virtual screening is computationally intensive, and the cost of building, maintaining, and managing a dedicated computing cluster limits access to these technologies to large universities and commercial enterprises. Internet-based, or “cloud” computing, is a business service model in which computational resources are accessed affordably, scalably, and securely as needed. Our product utilizes this cloud infrastructure to deliver virtual screening to clients who either don’t desire to or cannot maintain their own infrastructure. Our elegant and highly efficient system for managing the job queue and maximizing the efficient use of computational resources allows us to provide reduced-cost access to our tools for academic and government researchers. This confluence of residual processing power and need has given rise to our concept of the “bucket list”; a “free” job queue that unassigned agents can perform during the time between finishing a paid job and their “death” at the end of their provisioned hour. We are working with Chemaxon to expand the capabilities of the current system through the following technical achievements: (1) integration of additional chemical libraries and library filtering tools to focus search space prior to docking; (2) enhancement of end user ability to evaluate results through integration of data analysis and visualization tools; (3) integration of additional licensed, proprietary, and public domain tools for additional functionality. This work is funded by NIH’s National Institute of General Medical Science through SBIR Phase II grant GM097902
USUGM 2014 - Gerald Wyckoff (Chemalytics): Development of the Chemalytics Pl...ChemAxon
Structure-based virtual screening is an important tool in the drug discovery process. The use of computational tools has allowed for the screening of large libraries of chemical compounds to identify putative ligand-receptor interactions. The identification of valid targets and therapeutic compounds has long-term importance both to public health and the economic strength of the pharmaceutical industry. Receptor-based virtual screening (VS) is a technique in which computational tools are used dock small molecular weight compounds into a protein receptor or enzyme. This technique is most often used in drug discovery, where a large library of chemical structure can be docked and scored to assess the potential if a compound to bind to a drug target. However, high-throughput virtual screening is computationally intensive, and the cost of building, maintaining, and managing a dedicated computing cluster limits access to these technologies to large universities and commercial enterprises. Internet-based, or “cloud” computing, is a business service model in which computational resources are accessed affordably, scalably, and securely as needed. Our product utilizes this cloud infrastructure to deliver virtual screening to clients who either don’t desire to or cannot maintain their own infrastructure. Our elegant and highly efficient system for managing the job queue and maximizing the efficient use of computational resources allows us to provide reduced-cost access to our tools for academic and government researchers. This confluence of residual processing power and need has given rise to our concept of the “bucket list”; a “free” job queue that unassigned agents can perform during the time between finishing a paid job and their “death” at the end of their provisioned hour. We are working with Chemaxon to expand the capabilities of the current system through the following technical achievements: (1) integration of additional chemical libraries and library filtering tools to focus search space prior to docking; (2) enhancement of end user ability to evaluate results through integration of data analysis and visualization tools; (3) integration of additional licensed, proprietary, and public domain tools for additional functionality. This work is funded by NIH’s National Institute of General Medical Science through SBIR Phase II grant GM097902
Looking for expertise or support on Data Integrity? Contact us today.
Recently, the pharmaceutical industry has been challenged with the regulatory requirements to provide complete, consistent and accurate data, throughout all GMP regulated processes.
Moreover, during audits the regulatory bodies have observed a level of inconsistency in the application of the predicate rules in GMP processes. This has become a growing concern and has led to a set of new (draft) guidances from different market authorities.
Index:
Data Integrity – Why / What
Data life cycle
Core Data Integrity concepts & building blocks
Short & mid-term actions enabling a focused road to compliance
Looking for expertise or support on Data Integrity? Contact us today.
Recently, the pharmaceutical industry has been challenged with the regulatory requirements to provide complete, consistent and accurate data, throughout all GMP regulated processes.
Moreover, during audits the regulatory bodies have observed a level of inconsistency in the application of the predicate rules in GMP processes. This has become a growing concern and has led to a set of new (draft) guidances from different market authorities.
Index:
Data Integrity – Why / What
Data life cycle
Core Data Integrity concepts & building blocks
Short & mid-term actions enabling a focused road to compliance
1. Ananth Kotti www.linkedin.com/in/ananth-
kotti-6b083a92
University of Pittsburgh, Swanson School of Engineering, Pittsburgh, PA Aug 15 - Dec 16
Master of Science in Industrial Engineering GPA: 3.86/4
Birla Institute of Technology and Science, Hyderabad Aug 11 - May 15
Bachelor of Science (Hons.) in Chemical Engineering GPA: 7.46/10
Education
: 412-315-1654
: kotti.ananth@gmail.com
Academic
Projects
Nippon – University of Pittsburgh (Process Control)
Established a statistical process control to monitor the length of Aluminum sheets in a manufacturing process for Nippon
where X bar - R charts were used to analyze weeks of real time data.
The process capability of the process was established and updated with the changing specifications of thecompany.
Pine Medical– Green Belt Project (Standardization)
Created the project charter, process flow maps and value stream maps to define the problem and used Ishikawa diagrams,
SIPOC and surveys to analyze it.
Standardized the check-in and check-out processes, implemented 6S principles to reduce process time frame.
Mitigated the losses due to penalties or lost revenues from insurance delays saving $31,000 per year.
Westing House– Black Belt Project (Process Improvement)
Benchmarked the current nuclear parts manufacturing process against the best practices using gap analysis.
Conducted performance improvement projects through RCA and implementation of Kaizen, TQM and 6S principles.
Established a benchmarking process with C&E matrices and process maps which will save Westing house an estimated $
93,600 per project.
Professional
Experience
Mylan Inc. – Global quality operations Intern May16 –Aug16
Identified cost benefits of procuring global compendia licenses for the US, European and British pharmacopeia in
comparison to procuring individual licenses at each Mylan site saving the company $ 44,300 every year.
Participated in contract negotiations with the pharmacopeia vendors for competitive pricing and on-time delivery of the
compendia.
Developed deliverables tracking system, risk assessment tool(s) and the supporting user manual using Excel and VBA
macros to support implementation of ICH Q3D guidelines in the manufacturing processes across Mylan network.
Provided support to process validation charter by project managing the roll out of deliverables for the Minitab workshop
training (to support Continuous Process Validation, Annual Product Reviews and stability)
Indian Institute of Chemical Technology- Quality Intern July14 –Dec14
Spearheaded the transition of the raw material ordering system for the chemical department from a paper-based manual
system to on online ordering system.
Conducted physical inventory and maintained a high inventory accuracy rate of 97% .
Analyzed samples’ quality using control charts and basic statistics to assess scope for improvements in quality.
Dr. Reddy's Laboratories-Quality Assurance Intern May14 –June14
Forecasted the requirements for laboratory commodities considering the shelf lives and consumption rates.
Maintained stock keeping records, routinely reported stock levels and stock outs and used a pull system to link reporting
with resupply.
Integrated the calculation of wastage and loss to improve the accuracy of commodity usage tracking.
Jindal Steel Works (JSW) – Intern (Optimization) May13 – July13
Optimized the utilization of the waste products from coke oven gas by researching market value for the by-products and
selling them commercially instead of dumping the by-products.
Supported the procurement team for sourcing qualified new vendors to achieve quality and cost effective product lines.
Rantus Pharma - Supply Chain Co-op May12 – April13
Analyzed the value added and non-value added activities in the distillation process using time motion studies and
identified opportunities for improvement by streamlining the loading and setup.
Forecasted the sporadic demand for products like Tramadol and Dobutamine and determined the optimal safety stock
levels of raw materials which led to a 22% reduction of last minute premium material purchases.
Course Work Global supply chain management, Total quality management, Project Management, Operations research, Engineering
Management, Lean Six Sigma, Probability and statistics, Operations Improvement in healthcare, Manufacturing Systems.
Certifications University of Pittsburgh - Six Sigma Green Belt, Six Sigma Black Belt
Technical
Skills
Minitab, MS Project, SQL, Aspen Plus, Statistical Quality Control, Kaizen, 6S, Value Stream Mapping, Work Measurement
(MOST, MODAPTS, MTM), JIT, Forecasting, Contract negotiations, Linear Programming, FMEA, VISIO, SIMIO, Tableau, Business
Plan Pro, Benchmarking, R Programming, AutoCAD. Proficient in Microsoft office.