Shagun Mehndiratta

Director of Engineering

North Chicago, Illinois, United States17 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 12 years of experience in Machine Learning and AI solutions.
Expertise in end-to-end delivery of ML projects.
Strong leadership in building and managing ML teams.

Stackforce AI infers this person is a Machine Learning and AI expert with extensive experience in E-commerce and Data Science.

Contact

mehndiratta.shagun@gmail.com LinkedIn

Skills

Core Skills

Machine LearningRecommender SystemsGenerative AiData Science

Other Skills

Analytical SkillsAnalyticsArtificial Intelligence (AI)Big Data AnalyticsBusiness AnalysisBusiness IntelligenceBusiness Intelligence (BI)Business StrategyClient Expectations ManagementConsultingData AnalysisData AnalyticsData MiningData PipelinesData Visualization

About

Over 12 years of cross-industry experience in end-to-end delivery of Machine Learning and AI solutions, spanning consulting and in-house environments. Expertise in the complete machine learning lifecycle, from identifying business opportunities to deploying solutions in production. KEY SKILLS Machine Learning: Proficiency in diverse ML techniques, including Regression, Clustering, Classification, Ensemble methods (Random Forest, GBM, XGBoost), Support Vector Machines (SVM), Neural Networks (NNs), Natural Language Processing (NLP), Bayesian methods, Principal Component Analysis (PCA), Deep Learning (CNN, RNN, LSTM, Auto-encoders, GANs, Generative AI, Transformers including Large Language Models (LLMs). Recommender Systems: Expertise in crafting recommendation systems using Matrix Factorization, Collaborative Filtering, Apriori, Interaction-based models, and Hybrid systems. Programming: Proficient in Python, R, and SQL for robust data analysis, modeling, and visualization. Software/Tools/Visualization: Adept at leveraging an array of software and tools, including AWS, Git, Kubernetes, Airflow, FastAPI and Streamlit for efficient data processing and deployment. Leadership: Over a decade of success in building and leading teams of Machine Learning Scientists, ML Engineers, and Data Engineers.

Experience

Grainger

4 roles

Director, Applied Machine Learning

Promoted

May 2024 – Present · 1 yr 10 mos

Leading Data Engineering, Machine Learning and Operations Research capabilities

Sr. Manager, Applied Machine Learning

Promoted

Sep 2019 – May 2024 · 4 yrs 8 mos

Led and managed teams of ML Scientists, OR Scientists, and ML Engineers to solve complex business challenges using machine learning, optimization, and deep learning.
Partnered with business teams to develop proprietary ML algorithms, delivering innovative and customized solutions.
Owned the product recommendation roadmap, delivering personalized recommendations across digital and offline channels.
Directed the Guided Selling initiative, providing sales teams with ML/AI-driven insights.
Collaborated with product and engineering teams to evaluate and implement ML deployment strategies, establishing production infrastructure best practices.
Led the company's Generative AI strategy, including the implementation of LLM-based virtual chatbots for customer support.

MySQLLeadershipMachine LearningRecommender SystemsTeam ManagementREST APIs+7

Principal, Data Science

Jul 2018 – Sep 2019 · 1 yr 2 mos

Contribute to the ongoing development and operations of AI and advanced analytics solutions that enable transformation experiences, predictive insights, and increased efficiency

MySQLMachine LearningTeam ManagementREST APIsPythonSQL+1

Manager, Data Science

Sep 2015 – Jul 2018 · 2 yrs 10 mos

Managed end-to-end delivery of diverse data science solutions spanning sales, marketing, supply chain, and digital domains.
Drove sales effectiveness initiatives including work-stream prioritization, partner collaboration, performance measurement & tracking, and opportunity identification.
Led inventory optimization portfolio including branch & distribution center demand prediction, order routing network optimization and latent demand estimation.
Conducted advanced algorithmic research, including doc2vec, prod2vec, mathematical optimization, and deep learning, to build cutting edge solutions for complex data science problems.

MySQLMachine LearningTeam ManagementPythonRSQL+1

Mu sigma inc.

2 roles

Data Science Manager

Promoted

Jan 2015 – Aug 2015 · 7 mos

Mu-sigma is the world’s largest pure-play Big Data analytics and decision science Company that partners with 140+ Fortune 500 companies to boost their analytical and decision-making capabilities.
Managed end-to-end data science projects from opportunity identification, scoping, and roadmap creation to KPI development and client presentations.
Led multiple initiatives for a pharma client including launch drug including physician segmentation and targeting,
development and implementation of machine learning models to analyze market trends, customer behavior, and optimize marketing strategies.
Conducted comprehensive analysis of customer journey data to enhance user experiences to reduce cart abandonment rates.

MySQLMachine LearningData VisualizationPredictive ModelingNatural Language Processing (NLP)

Senior Analytics Consultant

Jun 2013 – Jan 2015 · 1 yr 7 mos

Collaborated with cross-functional teams to identify business problems and develop data-driven solutions.
Implemented natural language processing (NLP) techniques to analyze customer feedback and sentiment, leading to improved product features.
Built predictive models using regression, decision trees, and random forests to solve business challenges.
Exploratory analyses to inform business strategies; identifying, creating, and transforming informative features based on historical and real-time data

MySQLMachine LearningPythonRSQLData Visualization+1

Infosynergy

Data Scientist

Nov 2012 – Jun 2013 · 7 mos · Philadelphia, PA

Data mining and analysis using tools such as SQL, Hive, Python, SAS
Created and maintained data dashboards and reports for monitoring key performance indicators.

Data ScienceBusiness AnalysisSQLData Analysis