Sagar Phull

About Sagar Phull

Data Science Manager at Deloitte with expertise in forecasting, NLP, regression modeling, and structured/unstructured data analytics. Proficient in Python, R, and Google Cloud Platform technologies, delivering actionable insights through machine learning models and data mining techniques. Adept at developing and implementing data strategies, managing projects, and fostering cross-functional collaboration to achieve business goals.

Experience

1. Data Science Manager

   Deloitte

   May 2023 — Present

   Multi-Agent Architecture for Smart Press Release Drafter & Miner – Major pharmaceutical company• Directed a cross-functional team to develop multiple advanced GenAI-based multiagent systems using Chain-of-Thought (CoT) architecture, addressing diverse client requirements.• Delivered solutions for human-intensive tasks such as press release drafting and topic research, reducing turnaround time by 60%.• Enabled the client’s communications team to conduct comprehensive research for C-suite media interactions, directly influencing stock prices and market sentiment through data-driven PR communications.Demand forecasting – Major consumer packaged goods manufacturer• Led a multidisciplinary team of data scientists, data engineers, and SAP consultants to create a B2B demand forecasting system for a consumer-packaged goods (CPG) manufacturer. This tool significantly enhanced their ability to predict orders from major big box retailers.• Developed a multi-regional, machine learning-based forecasting system that provides detailed forecasts across various product types and regions, improving forecasting accuracy by 12% over the client’s previous system.• Introduced a sophisticated factor analysis capability, enabling comprehensive demand optimization across global markets.Order fulfillment analytics – Major automobile manufacturer• Led a team of data scientists and engineers to design and implement an order forecasting solution,resulting in a revenue increase of approximately $8 million.• The forecasting solution constituted of multi-ML algorithm-based architecture that contributed to a 20% increase in predictive model accuracy, resulting in reduced revenue losses due to out-of-stock situations and increased accuracy in upstream manufacturing decisions.• Utilized data visualization techniques to provide actionable insights to key stakeholders and support data-driven decision-making regarding raw materials and spare parts sourcing.

Education

• Northeastern University

  Master’s Degree, Engineering Management with Concentration in Data Mining Engineering

  2016 — 2017

• University of Mumbai

  Bachelor’s Degree, Chemical Engineering

  2009 — 2013

Skills

• Team Leadership
• Teamwork
• Project Management
• Project Planning
• Data Analysis
• Graphic Design
• Employee Training
• Chemical Engineering
• Petrochemical
• Polymers
• Adobe Photoshop
• Adobe Indesign
• Adobe Illustrator
• Microsoft Office
• C++
• Corel Draw
• Team Management
• R Prorgamming
• Matlab
• Minitab
• Sql
• Microsoft Excel
• Powerpoint
• Microsoft Word
• Management
• Leadership
• Data Mining
• Statistics
• Team Building
• Engineering
• Petroleum
• Analytical Skills
• Manufacturing
• Project Engineering
• Hadoop
• Hive
• Elasticsearch
• Kibana
• Logstash
• Python