Anirudh Reddy Gudipati
Ann Arbor,MI
Summary
Results-driven Senior Data Scientist leveraging advanced analytics and machine learning techniques to optimize supply chain operations. Proven expertise in developing predictive models, designing data-driven strategies, and implementing innovative solutions that enhance efficiency, reduce costs, and improve decision-making. Skilled in collaborating with cross-functional teams and stakeholders to translate complex data insights into actionable business strategies. Proficient in programming languages such as Python and R, and experienced with data visualization tools including Tableau and Qlik. Committed to driving continuous improvement and delivering high-quality results in fast-paced environments.
Overview
12
12
years of professional experience
1
1
Certification
Work History
Senior Data Scientist (Supply Chain Analytics)
Ford Motor Company
Dearborn, Michigan
11.2019 - Current
- Conducted Research for EV Charging Station Placement: Utilized advanced data science techniques to determine optimal locations for electric vehicle charging stations. Developed predictive models to assess demand and usage patterns, strategically placing stations to increase utilization rates. Applied GIS and spatial analysis to identify high-traffic and underserved areas, collaborating with urban planners and transportation agencies to integrate charging infrastructure into city planning projects
- Optimized Shipping Consolidation: Applied dynamic statistical techniques to solve shipping consolidation problems, achieving a 35% increase in container utilization, a 20% reduction in freight movements, saving approximately $500 million annually in freight costs, and reducing the carbon footprint by 13%
- Enhanced Supply Chain Resilience: Researched and implemented strategies to mitigate global supplier disruptions due to natural disasters and pandemics, enhancing the resilience of the supply chain network. Created predictive models to assess the impact of natural disasters on supply chain operations and developed contingency plans to ensure continuity
- Published Research Findings: Documented and presented research findings in internal reports to organizational stakeholders, contributing to the body of knowledge in the field
- Engineered Advanced LLMs for Automotive Diagnostics: Developed large language models (LLMs) to streamline diagnostic processes for vehicle repair technicians by swiftly analyzing hundreds of vehicle manuals and delivering precise solutions based on user-reported issues, optimizing repair accuracy and efficiency
- Collaborated on Optimization Projects: Worked with core teams to diagnose problem areas, seek optimization opportunities, and contribute to architecting solutions
- Developed Prototypes and Managed Experiments: Independently developed prototype concepts and managed experiments to create data-driven solutions for critical business problems
- Drove Tool Development and Reporting Improvements: Spearheaded the development of tools, reporting enhancements, and automation. Created innovative and insightful reports using Qlik and Looker
- Led Complex Development Projects: Planned and conducted development work on complex projects, originating and applying new and unique approaches
- Supported Strategic Initiatives through Data Analysis: Focused on developing data and reports, including data cleanup, to support strategic initiatives
- Developed Metrics and Analytics for Global Supply Chain Sourcing: Involved in the development of metrics, analytics, and procedures for global supply chain sourcing
- Created Reporting Models and Analytics: Developed prototype reporting models, specifications, diagrams, and charts to support decision-making
- Expertise in Data Mining Models: Strong knowledge in developing, designing, and implementing data mining models using statistical techniques.
Network Planning & Data Analytics Supervisor
UPS Autogistics
Dearborn, Michigan
04.2018 - 11.2019
- Designed End-to-End Optimization Models: Developed comprehensive network and inventory optimization models to forecast spending, target inventory levels, sourcing strategies, and peak season requirements
- Utilized Advanced Analytical Tools: Leveraged R Studio, GT Nexus, Alteryx, SQL Server, and Tableau to analyze demand and enhance forecasting accuracy
- Trained and Advised Planners: Educated planners on utilizing production, delivery, and inventory forecasts to optimize service levels effectively
- Presented Customized Reports: Delivered tailored reports in monthly meetings, highlighting forecast accuracy, deviations, shortages, and overall supply network health
- Collaborated on BI Solutions: Partnered with a team of developers to design, develop, and implement a business intelligence solution for sales, product, and customer KPIs
- Developed Logistics Models: Introduced and implemented logistics models based on linear programming to improve operational efficiency.
Supply Chain Data Warehouse Engineer
Vamsi Packaging’s and Logistics Ltd
Hyderabad, India
08.2015 - 07.2016
- Designed Supply Chain Data Architecture: Developed and implemented a robust data warehouse framework to support supply chain operations, optimizing data flow from suppliers to customers
- Collaborated with Stakeholders: Worked closely with clients and internal teams to gather requirements and define project milestones throughout the data warehousing lifecycle
- Ensured Data Quality Compliance: Established processes to ensure that all vendor data met stringent quality assurance standards, enhancing data reliability for decision-making
- Developed Tracking and Monitoring Solutions: Created data tracking tools to analyze supply chain performance metrics, uncovering trends and driving operational improvements
- Built Interactive Tableau Dashboards: Designed and implemented dynamic Tableau visualizations to present key supply chain KPIs, facilitating data-driven insights for stakeholders
- Advanced Analytics Techniques: Applied forecasting, EOQ, and inventory management methodologies within the data warehouse to optimize ordering policies and enhance supply chain efficiency.
Supply Chain Management Intern
Smart Value Products and Services Ltd
Gurgaon, India
06.2014 - 07.2015
- Developed Supplier Value Stream Maps: Identified process bottlenecks through value stream mapping to drive continuous improvement initiatives
- Advanced Reporting and Analytics: Designed and maintained sophisticated reporting, analytics, and dashboards using Tableau, Alteryx, and Power BI to enhance business intelligence
- Conducted Root Cause Analysis: Generated comprehensive root cause analysis reports to address critical network events and improve operational resilience
- Evaluated Supplier Performance: Assessed supplier scorecards based on cost, quality, and service metrics, while analyzing RFQs and maintaining daily communication with vendors
- Performed Supply Market Analysis: Conducted supply market analysis to shortlist new suppliers, negotiating deals that resulted in a 4% savings on the purchase budget
- Collaborated on Demand Planning: Worked with stakeholders across the supply chain to develop accurate demand plans for the festive season
- Resolved Data Variation Issues: Analyzed and addressed data variation challenges using principles of project management, logistics, and inventory management.
Industrial and Quality Engineer
SriChakra Cements Ltd
Andhra Pradesh, India
04.2012 - 01.2014
- Led Quality Improvement Initiatives: Spearheaded projects to enhance product quality and process efficiency, resulting in a measurable reduction in defects and rework
- Developed and Implemented Quality Standards: Established and enforced quality standards and protocols, ensuring compliance with industry regulations and best practices
- Conducted Root Cause Analysis: Performed in-depth root cause analysis on quality issues, implementing corrective actions to prevent recurrence and improve overall product reliability
- Utilized Statistical Process Control (SPC): Applied SPC methodologies to monitor manufacturing processes, identifying trends and variances to drive continuous improvement
- Collaborated with Cross-Functional Teams: Partnered with engineering, production, and supply chain teams to integrate quality assurance practices into all phases of product development and manufacturing
- Facilitated Training and Development: Designed and delivered training programs for staff on quality control techniques and continuous improvement methodologies
- Managed Quality Audits and Inspections: Oversaw internal and external quality audits, ensuring adherence to quality standards and facilitating corrective actions as needed
- Analyzed Supplier Quality Metrics: Evaluated and monitored supplier quality performance, collaborating with vendors to address issues and enhance overall supply chain quality.
Education
Master's In Industrial Engineering -
University of South Florida
Tampa, Florida12.2017
Bachelor's In Mechanical Engineering -
Osmania University
01.2015
Skills
- Network Modelling & Optimization
- Machine Learning
- Generative AI
- Deep learning
- Python Programming
- Business Forecasting
- Neural Networks
- Data Visualization
- Lean
- Linear algebra
- Computational design
- Regression Modeling
- Forecasting
- Statistical Analysis
- Project Management
- Business Intelligence
- S&OP Planning
- Logistic Modeling
Certification
- Lean Six Sigma Green Belt
- Project Management Certified Professional
Timeline
Senior Data Scientist (Supply Chain Analytics)
Ford Motor Company
11.2019 - Current
Network Planning & Data Analytics Supervisor
UPS Autogistics
04.2018 - 11.2019
Supply Chain Data Warehouse Engineer
Vamsi Packaging’s and Logistics Ltd
08.2015 - 07.2016
Supply Chain Management Intern
Smart Value Products and Services Ltd
06.2014 - 07.2015
Industrial and Quality Engineer
SriChakra Cements Ltd
04.2012 - 01.2014
Master's In Industrial Engineering -
University of South Florida
Bachelor's In Mechanical Engineering -
Osmania University
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