Resume
Gunnvant Singh Saini
Senior Manager – Data Science | Optimisation & Decision Sciences | AI Engineering
Bengaluru, India
Professional Summary
Technology professional with 12+ years of experience across mathematical optimisation, decision sciences, machine learning, and software engineering. Experienced in translating complex business problems into optimisation models and scalable software solutions, combining operations research, analytical modelling, and hands-on engineering.
Experience
Senior Manager – Data Science, Course5i.ai
April 2025 – Present | Bengaluru, India
Client: Dell | Supply Chain Optimisation & Production Planning
Developing optimisation-driven production planning systems for Dell's Consumer and Server businesses. The initiative aims to support production planning across both business segments, which together account for the bulk of Dell's revenue, while accommodating their distinct operational requirements and business priorities.
- Develop mathematical optimisation models for factory capacity allocation across production lines, fixtures, and shifts, incorporating demand, production rates, line qualifications, and operational capacity constraints.
- Formulate and implement lexicographic optimisation models to represent hierarchical business priorities, ensuring higher-priority production requirements are satisfied before allocating capacity to lower-priority demand.
- Develop multi-stage optimisation formulations to handle competing operational objectives, separating mandatory business requirements from secondary preferences and operational improvements.
- Reduce pipeline execution time by approximately 50% through multiprocessing and more efficient NumPy-based data processing.
- Implement GitLab CI/CD pipelines to manage and deploy application configurations across development, pre-production, and production environments.
- Improve software maintainability and extensibility through domain modelling of critical business processes and refactoring of core application components.
Senior Manager – Data Science, Course5i.ai
October 2023 – April 2025 | Bengaluru, India
- Led data scientists and data engineers in developing supply and demand planning solutions for a global retailer, supporting purchasing decisions worth over USD 1 million.
- Led the development of a talent observability platform for a large US retailer, combining analytics and web technologies to identify critical talent and support leadership succession planning.
- Directed multidisciplinary teams of analysts, engineers, and web developers delivering enterprise analytics solutions for the People and Analytics Office of a large US retailer.
- Led the establishment of an MLOps practice for a US client, implementing model logging, experiment tracking, and automated model training pipelines.
- Led machine learning development for a data observability platform, including an algorithm to identify redundant tables across enterprise data lakes.
Senior Data Scientist, Hero Vired
February 2022 – September 2023 | Bengaluru, India
- Developed proofs of concept for LLM-powered content discovery using LangChain and evaluated retrieval-augmented generation (RAG) performance across language models.
- Built automated grading prototypes for descriptive answers using BERT and DistilBERT.
- Developed a containerised Streamlit reporting application integrated with reporting APIs, automating academic operations reporting and reducing turnaround time from days to minutes.
- Built automated email alerting services for academic operations, eliminating critical reporting and communication misses.
Senior Consultant – Data, dono Consulting
July 2021 – February 2022 | Bengaluru, India
- Developed web scrapers and data pipelines to collect and populate financial data with near-real-time updates.
- Modernised a legacy model training workflow using MLflow, GitHub Actions, and Alibaba Cloud Elastic Compute Service, reducing model retraining effort from a full day to approximately three hours.
Manager – Content Strategy, upGrad
November 2020 – July 2021 | Bengaluru, India
- Led a team developing NLP and deep learning curricula in collaboration with IIIT Bangalore and IIT Madras.
- Automated quality assurance and project management workflows using Python and mentored team members in NLP and machine learning.
Developer – Machine Learning & Data Products, Jigsaw Academy / Meritrac
December 2019 – November 2020 | Bengaluru, India
- Developed Mageblade, an enterprise-wide semantic search and question-answering platform supporting documents, presentations, PDFs, video, and audio using Elasticsearch and Flask.
- Analysed operational data to identify product insights and inform product development priorities.
- Developed prototypes for automated grading of programming and descriptive assessments using BERT-based models, exposed through REST APIs.
Subject Matter Expert – Machine Learning, Jigsaw Academy
September 2014 – December 2019 | Bengaluru, India
- Managed the Machine Learning vertical, including the Full Stack Machine Learning and AI programmes, curriculum, and faculty.
- Led corporate training engagements in India and internationally, including Portugal and Dubai, designing customised programmes for working professionals.
- Served as guest faculty for data science programmes at the University of Chicago Graham School and IIM Indore.
- Mentored students on applied data science and machine learning projects.
Assistant Professor, Guru Nanak Dev University
June 2013 – July 2014 | Amritsar, India
- Taught statistics and research methodology.
- Conducted R-based statistical analysis workshops and training programmes for research scholars.
Lecturer, Lovely Professional University
2012 – 2013 | Jalandhar, India
- Taught statistics, research methodology, and economics to undergraduate and postgraduate students.
Publications
Performance Indicators for Global Buyout and Global Growth Equity Funds
Summer 2014 | The Journal of Private Equity, Vol. 17, No. 3
Applied multiple regression modelling to examine the relationship between GDP and equity market indices.
Silver and Global Equity Markets
Spring 2014 | The Journal of Private Equity, Vol. 17, No. 2
Developed predictive models using silver futures and G10 GDP indicators to study relationships with global equity markets.
Education
MBA – Finance, Panjab University
2010 – 2012
Technical Skills
Mathematical Optimisation & Operations Research
- Linear Programming and Mathematical Optimisation
- Lexicographic and Multi-stage Optimisation
- Hierarchical Objective Modelling
- Constraint Modelling and Infeasibility Analysis
- Production Planning and Capacity Allocation
- Gurobi, CVXPY
AI & Machine Learning
- Classical ML: Regression, XGBoost, Clustering, Time Series Analysis
- Deep Learning: Transformers, BERT, CNNs, RNNs, LSTMs
- LLM Applications: LangChain, RAG, Semantic Search
- PyTorch, scikit-learn
Software & Data Engineering
- Python, NumPy, pandas, FastAPI
- Data Pipelines and Workflow Orchestration
- Domain Modelling and Software Refactoring
- REST APIs, Web Scraping
MLOps & DevOps
- MLflow, Docker
- GitLab CI/CD, GitHub Actions
- Unit Testing
Data Platforms & Infrastructure
- Databricks, PySpark, Azure Data Factory
- Amazon S3
- PostgreSQL, MySQL, SQL Server
- Elasticsearch, MongoDB, Weaviate, ChromaDB