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Work Experience
Data Scientist
Nowara Group•  April 2020 - Present
Key Accomplishments: • Developed and launched 3 new verticals for the North American divisions of Nowara Group. • Collaborating with CEO and formulating company vision, objectives, business and marketing strategies for the 3 new divisions. • Led the complete redesign of the company logo and website with an external design agency. • Clients include Emirates Airlines, Delta Airlines, Singapore Airlines, Cathay Pacific and Sheraton. Data Science Projects Github Repo: https://github.com/alwynpinto/DataScienceProjects Back Blaze Hard Drive Failure Prediction / Highly Imbalanced classification dataset. • Given a large dataset from 2013 to 2019, with 2 million observations of SMART raw data from Back Blaze, in a highly imbalanced dataset and predict the failures of Seagate hard drives that accounted for 83% of all failures. • Leveraged analytics and machine learning models to recommend the inclusion of 8 SMART metrics in failure prediction modelling. Sales Prediction of Retail Restaurant / Limited observations, Real-Life sales dataset. • Provided with a 52-week Point-Of-Sale dataset from a chain restaurant with limited observations. • Utilized machine learning time series projection techniques such as the Facebook Prophet and VAR models to predict revenue.
Inventory Manager
Amazon.com•  June 2018 - May 2019
Key Accomplishments: • Delivered inventory process prototype which reduced inventory handling by 15%, improved value creation by localization of inventory, and quick delivery. • Implemented enhancements to internal systems and delivered 50% better quality within 2 months from project handover. • Accountable for the safety, productivity, quality, and performance of 250+ associates and directly manage 15 subordinates while shipping over 3 million units through 24/7 operations support and process control. Reduced safety incidents by 15% through the use of visual cues and safety adverts.
Operations Consultant, Senior Data Analyst, PMO
Kuwait Oil Company•  November 2016 - April 2018
Key Accomplishments: • Ran data mining and analytics on enterprise field data and identified key operations for improvement. Through data reclassification and using predictive analytics and modelling while building dashboards, successfully delivered performance improvement of 50% in targeted operations. • Delivered an automated content management system that allowed clients/engineering teams to submit online project learning saving teams 4 hours per week of manual paperwork and approval processes. • Leveraging the IT team developed a contractor evaluation system that was adopted by the Contract Management team as the standard for all contracts. • Defined and managed rollout of an enterprise-wide data quality framework, with a focus on compliance, and standards, governance metrics, and processes with PMO guidelines.
Senior Project Manager
Chevron•  September 2013 - August 2016
Key Accomplishments: • Led the first implementations of WellsafeTM, Chevron’s Operations Assurance Program patterned after the United States Navy SUBSAFE program resulting in the delivery excellence in safety, certainty, and impact. • Received the ‘Chevron Recognition Award, 2014’ for achieving savings and profit of $188 million in 6 months by communicating effectively, meeting safety standards, and managing risk. • Achieved cost savings of $280K (12.7%) through tighter inventory control, $400K savings through a shift to a just-in-time inventory system, collaborated with the Supply Chain team to achieve a total cost-effective reduction of 25%. • Delivered project with 42% better efficiency than previous attempts, under limited resources and strict time constraints. • Managed a 13% project scope increase effectively by assessing the change and managing risk while leading the team of 12 professionals to project savings of 36% despite high risk and uncertainty. • Provided support for analyzing, defining, and implementing standard cost and allocation models which were revised based on exemplary project performances.
Education
Springboard
Data Science Career Track, Certificate•  December 2019 - July 2020
A 600+ hour online Data Science course that covers the Python data science libraries including NumPy, Pandas, SciPy, Matplotlib, and Scikit-Learn. Creating expertise in Data Science process starting from Data Wrangling, Data Storytelling, Statistical Inference, Machine learning, and applying them to real projects.
University of Pune
Petroleum Engineering, BE•  May 1997 - May 2001
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