Data Science Machine Learning

SANDEEP S. MAGGAR

Portland, Oregon C: 928-***-**** @ *****.*******@*****.*** LinkedIn

SEASONED DATA, AI, & TECHNOLOGY LEADER BUSINESS EXECUTIVE

Strategic Planning Customer Experience Data Governance & MDM AI/ ML Engineering

Corporate Communications GTM Product Strategy Quantitative Analytics Data Science & Statistics

Data Strategy Operational Efficiency Project Management IoT & Decision Science

Team Development Global Expansion Database Design & Analysis Cloud & Big Data Analytics

Accomplished, solutions driven, and highly analytical professional with extensive experience driving business growth through strategic use of data and analytics. Expertise in data science, engineering, architecture, governance, and innovation, consistently delivering impactful solutions and driving business success through a diverse range of responsibilities. Proficient in artificial intelligence, predictive modeling, and data storytelling to provide actionable insights. Strong business acumen and a deep knowledge of the intersection between data, technology, and business goals. Committed to learning, continuous improvement, & contributing to success of business via technology, data management, and evidence-based decision making. Instrumental in leading data initiatives from planning to successful implementation within strict budgets and timelines. AREAS OF EXPERTISE

EDUCATION

Master in business administration (MBA) Washington University in St. Louis Corporate Strategy & Entrepreneurship Doctor of Philosophy (PhD) University of Arkansas 2014, Astrophysics Bachelor of Science Northern Arizona University 2010, Physics & Mathematics

• Cost Reduction in Technology Initiatives

o Efficiently managed a budget for AI and Technology projects, achieving cost reduction of 10% without compromising on quality at Daugherty and Revolgreens

• Digital Transformation

o Effectively led a digital transformation and cloud migration initiative of traditional AgTech increasing efficiency by 20% and decreased labor utilization by 25%.

• Decrease System Downtime

o Led AI powered maintenance tool and development of SCADA system for monitoring at Revolgreens and a large pharmaceutical client.

• AI Framework Implementation

o Created an AI framework to scale automated solution leading efficiency increase by 20% at Nestle Purina o Oversaw creation of neural network-based forecasting system, resulting in estimated annual savings of $20MM for a pharmaceutical client.

o Led a successful team in creating and integrating a comprehensive pricing solution built upon AI based pricing models, resulting in a first-year margin increase of over $3MM.

• Data Governance Framework

o Implement a new data governance framework to train data lineage and follow data ethics at Charter communications.

• Customer Engagement Improvement

o Built predictive models for customer retention and improved retention and engagements by 25% at Southwest airlines, Grimco.

o Achieved 50% drop in revenue churn and a 40% decrease in customer churn for a marketing company.

• Leadership

o Successfully led Daugherty’s Innovation Hub, achieving a $2MM annual revenue milestone within 2 years. o Established data science practice, growing from 2 consultants to over 20 highly skilled data scientists, resulting in securing and delivering over 30 successful projects. o Led the Data and Analytics line of service, expanding from 100 to over 200 consultants, mentoring 20+ consultants, and overseeing and evaluating the careers of 100+ consultants. KEY ACCOMPLISHMENTS

PROFESSIONAL EXPERIENCE

VP Data, IT, & Engineering, RevolGreens, Austin, TX March 2022 – Present Led a team of Directors, Managers, Data Scientist & Engineers, food safety to complete & carefully curated data solutions to bridge the technology gap. Led strategy & food operations team to reduce waste and improve quality.

• Developed and executed annual budget for IT operations and managed cross functional teams to improve supply chain efficiency.

• Build a proprietary system for enterprise and strategic partners to optimizing sales process and increasing sales revenue by 14%, and 15% decrease in time to market for products.

• Served as a technology liaison between organization and its investors performing competitive analysis, developing presentations and reports on financial performance.

• Led the development of predictive maintenance tool that decreased system downtime by 30%, ensuring higher availability for critical operations.

• Curated a $2M business implementation project that saves ~ $3.5M on operational inefficiencies between sales and development departments annually.

Head of Data Science & Analytics, Daugherty Business Solutions, St. Louis, MO November 2019 – March 2022 Managed 8+ data/AI/digital transformation projects in different industries e.g CPG, Telecommunications, Financial, Consumer, Startups, Biotech

• Collaborated with business stakeholders to identify data and operational opportunities that aligned with strategic goals, that resulted in the launch major projects.

• Developed corporate data strategy, governance, roadmaps, & literacy plans with clients, maintain partnerships, and analyzed GTM strategy for various clients.

• Executed comprehensive public cloud data strategy and proof-of-concept for a retail client, successfully facilitating the transition from on-premises monolithic to hybrid-cloud microservices architecture.

• Deployed successful supply chain forecasting POC, leading to larger engagement for top retail client, decreasing false alarms by 90% while optimizing inventory alerting threshold.

• Managed cross-departmental teams to integrate AI functionalities into existing platforms, enhancing user engagement by 35%.

• Promoted to executive position by reflecting a consistent record of exceptional leadership, strategic vision, and contributions to organizational growth.

Manager Data Science, Maritz Motivation, St. Louis, MO November 2018 – December 2019 Oversaw account management for clients, with a focus on customer & employee engagement, loyalty, and behavioral science. Achieved a \retention rate of over 90% throughout my career, demonstrating my commitment to client satisfaction.

• Handled 5+ major accounts, leading to a 20% increase in customer satisfaction, increased brand loyalty and employee engagement.

• Designed and deployed gamification strategies for increased customer experience, spearheaded data science team for customer loyalty & experience in the areas of advanced customer analytics, & modeling

• Work collaboratively with senior management & product teams to develop a customer experience strategy and approach to defining business challenges by data science.

Data Scientist, Benson Hill Biosystems, NASA, 2012– December 2018 Architected enterprise data pipeline, and automated reports and implemented cloud-fist containerized microservices environment. Maintained government funding and manage data pipelined for several satellite programs.

• Built a genetic simulation platform to predict genomic diversity, gene editing, trait mapping from scratch that led to reducing seed testing time and go GTM time by 2 years.

• Founded a remote sensing IR spectroscopy project to identify changes in photosynthesis in cornfields using various AI models.

• Manage data integration, cloud architecture, engineering pipeline development for discovery experiments to enable analytics. ADDITIONAL EXPERIENCE, PUBLICATIONS, TECHNICAL PROFICIENCIES RDBMS: MySQL, Postgres, MS SQL Server

NoSQL Databases: Mongo DB, Cassandra, Big Query

General Programming: Python, SQL, R, C

Big Data & Streaming: Kafka, Spark, Elastic Search BI Platforms: Tableau, Looker, Quick Sight, PowerBI Cloud Computing & Deployment: AI, Data Science & Analytics: Supervised learning (classification, regression), Unsupervised learning (clustering, PCA), Neural networks, NLP, Computer vision, Forecasting, Multivariate statistics, LLMs

Founder, i2Root LLC: A digital consulting company

Adjunct Instructor: Sports Business Analytics

Board Member: Maryville University Analytics program

Team Member: NASA Satellites

Reviewer NSF grants in Analytics, Space and

Agriculture

Over 25 Publications in Statistical methods, target sites, and detection of unknown compounds, Plant

genotypes and DNA simulations.

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