Abhishek Pandey
Data Scientist @A.P. Moller - Maersk
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WORK HISTORY
Data Scientist @A.P. Moller - Maersk
Philadelphia, PA, US
Demonstrated proficiency in developing C-suite dashboards, providing insightful visualizations of operational performance data and improving operational metrics across the board for 150+ stations by 15%- Spearheaded multiple Finance and Operations projects, leveraging expertise in analyzing trends from complex data sources with over 10 million transactions across 60+ stations- Improving customer acquisition cost by an estimated 8% by developing predictive models and 10+ operational metrics for pricing using Logistic regression and K-means clustering- Improved efficiency of subset network across US with cost reduction by 66.6% by developing route optimization models- Reduced server workload by 3.25 hrs per day implementing streamlined data extraction pipelines for fiscal statistics- Automated reporting solutions resulting in manual work reduction by 50 hours per week across multiple departments
EDUCATION
Kishinchand Chellaram College of Arts Commerce and Science
Higher Secondary School, Science
University of Mumbai
BE - Bachelor of Engineering, Information Technology
University of Maryland
Master of Science - MS, Business Analytics
ABOUT ABHISHEK PANDEY
Hello, I\'m a Data Scientist with over 7 years of experience specializing in production-grade statistical modelling, machine learning project deployment, operational & financial optimization and AI based product-development for customers & B2BPrimary core strengths - Problem Research, Rapid prototyping, Model Deployment, Pipeline Automation using ML algorithms and SOTA techniques in Deep Learning for varied use cases. I have focused on achieving significant cost savings and operational improvements using these core strengths. Skilled in Python, R, SQL, and big data technologies, I excel in transforming complex datasets into actionable insights, driving data-driven decisions and strategic business outcomes. Actively seeking opportunities to contribute my expertise to forward-thinking data science and analytics teams.Connect with me on LinkedIn, or by email: a••••••••@gmail.com
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