Ash Laughter

Clayton, NC ***** 919-***-**** adbheq@r.postjobfree.com LinkedIn URL: https://www.linkedin.com/in/ash-laughter-94876a52/

Data Scientist Investigator Technical Writer

Objective: Provide data-driven, action-oriented solutions to challenging business problems. Professional with a demonstrated ability to deliver insights via data-driven methods. Energetic and meticulous, with a penchant for all things data. Possess high level technical writing and investigation expertise.

Expertise

• Research, Reports and Forecasts

• Data Mining and Visualization Tools

• Cloud-based services, AWS / Azure

• Big Data Queries and Interpretation

• Machine Learning Algorithms

• Data and Quantitative Analysis

• Predictive Modeling

• Presentations

Education

Lewis University MS in Data Science (early 2020)

East Carolina University BS in Biology, Minor in Molecular Biology (1996)

Professional Experience

Xellia Pharmaceuticals (Danish multinational company manufactures antibiotics)

8900 Capital Blvd., Raleigh, NC 27616

Process deviation investigator, Technical writer, 10.07.13 to present

•Investigate multi-departmental process deviations

•Generate review edit approve technical reports

•Conduct bi-weekly presentations to shareholders

•Create implement assign CAPAs

•Perform procedural updates revisions

•Generate review present operator metrics

•Review post-execution batch record data

•Create multi-departmental cooperation

•Generate creative solutions

Position highlights:

(1) Created an Operator metric tracking system using Excel for data entry in combination with R programming language for Operator process error tracking, data processing and weekly graphs. Presented visualizations of Operator performance to key shareholders in weekly meetings to drive continuous process improvement, align with KPIs, reduce errors, and therefore reduce operational costs related to performance errors.

(2) Designed, created and implemented a visual control board for real-time monitoring of site process deviations. Provided Quality and Production managers with 'at a glance' status updates. Decreased turnaround time for process events for the site due to increased visibility.

(3) Improved technical reports and documentation turnaround time by implementing template changes and standardizing the inclusion of supportive statistics within report templates. Saved report processing time and reduced the total turnaround time by 30%. Trained co-workers on template changes and assisted with report generation and presentation aspects.

(4) Liaised with lean six sigma team to solve high priority site-wide glass commodity event.

Investigated high-profile issue, determined root cause and recommended corrective actions to prevent further material issues and costly delays.

Hospira (subsidiary of Pfizer) (American global pharmaceutical and medical device company)

8484 US 70 West, Clayton, NC 27520

Compliance Investigator, 04.12.12 to 10.03.13 Quality Supervisor, 04.11.11 to 04.12.12

•Investigated multi-departmental process deviations

•Reviewed annual product quality metrics

•Reviewed laboratory testing data

•Participated in FDA laboratory audits

•Composed edited reviewed technical documents reports

•Trained mentored new hires

•Supervised five technicians

Position highlights:

(1) Streamlined APQR report process and year-end summaries and reduced turnaround time by 20%. Incorporated statistical support of environmental and product testing into quality review.

(2) Improved process non-conformance report writing and construction by standardizing data entry fields and verbiage across departments. Trained non-technical writers in other departments to elevate report quality site-wide.

(3) Implemented a departmental system for real-time data review to reduce the hands-on processing time by 50%. The initial process contained multiple areas of wastage that were eliminated.

Catalent Pharma Solutions (Drug development manufacturing analytical services)

160 Pharma Drive, Morrisville, NC 27560

Associate Scientist 2, 12.2009 to 04.2011

•Conducted laboratory investigations for process deviations

•Performed nanofiltration and AKTA chromatography of client samples

•Propagated evaluated titrated standard production viruses

•Conducted gold particle filter testing to support viral clearance study data

•Created maintained large scale tissue cultures Cell culture SME

•Performed qPCR testing of viral RNA/DNA for client samples

Position highlights:

(1) Worked with site black belt to improve laboratory supply ordering and inventorying. Reduced supply delays by 40% on average for regularly used items. Reclaimed an out of service storage room and created an inventory space for administrative assistant.

(2) Improved qPCR testing of client samples by optimizing reaction and updating SOPs. Increased the technique sensitivity which avoided repeat analyses and decreased laboratory costs.

(3) Improved cell culture methods for host cells by recommending and implementing cell and media handling standardized revisions.

Academic experience:

Data and Analytics Tools/Languages: Spark, SparkR, R, Python, Hadoop, Hive, SQL, HQL, Tableau, Hadoop, MapReduce, Amazon Web Services, Azure Web Services

Publications, Presentations, Projects:

Publications:

Data science [2019 – 2020]:

[1] Laughter, A. and Omari, S. [2019] ‘A Study of Modeling Techniques for Wine Quality’, accepted 10/31/19, Computing Conference 2020, London, U.K., in ‘Advances in Intelligent Systems and Computing’, ISI Proceedings, El-Compendex, DBLP, SCOPUS, Google Scholar and SpringerLlink.

[2] Laughter, A. and Omari, S. [2019-2020] ‘Using Machine Learning Techniques to Identify Malicious Web Traffic Captured from a Low-interaction Honeypot’, Master’s research project and publication, Lewis University (in progress).

Molecular biology [2001 – 2004]:

[1]Laughter, A. et al., [2004] ‘Role of the peroxisome proliferator-activated receptor alpha (PPARα) in responses to trichloroethylene and metabolites, trichloroacetate and dichloroacetate in mouse liver’, Toxicology Volume 203 [2004], pp. 83-98.

[2] Valles, E., Laughter, A., [2003] ‘Role of the peroxisome proliferator-activated receptor a in responses to diisononyl phthalate’, Toxicology Volume 191 [2003], pp. 211-225.

Presentations:

Scheduled: Presenter at the upcoming SAI Computing Conference. London, U.K., ‘A Study of Modeling Techniques for Wine Quality’ (July 16th – 17th 2020).

Academic Projects:

[1] [2018] Social media network visualization of Twitter data using Gephi. Collaborated with two other graduate students to create detailed, large-scale network graphs from streamed Twitter social media data. Used ‘Gephi’ application to stream, capture and display network data and ‘Orange Canvas’ for additional data processing.

[2] [2018] Route Finding: Implementation using the A* Search Algorithm. Collaborated with four other graduate students to create an optimal route finder using the San Francisco Bay Area as the input space. The project goal determined the optimal routes between selected municipalities based on distances and travel times between nodes. Used python for algorithm coding, implementation and Tableau for presentation visuals.

[3] [6.2020] Pending: Post-graduate research project collaboration with Lewis University Professor Bhat as mentor and co-author. Current proposal: Distributed computing, Apache Spark analytics and big data architecture applied to large scale security monitoring.

Keywords:

data science, python, R, machine learning, statistics, tableau, gephi, orange canvas, processing, spyder, anaconda, data mining, data visualization, big data, coding, algorithms, social media, network graphs

Contact this candidate