Divya Upadhyay
New Delhi
Summary
With ~ six years of experience as a data scientist, I specialize in applying advanced statistical techniques and optimization algorithms to solve complex supply chain challenges. My expertise in machine learning, forecasting, and business intelligence has led to the optimization of various supply chain processes, enabling more informed decision-making and enhancing customer experience. Proficient in Python, GCP, and BigQuery.
Overview
6
6
years of professional experience
Work History
Lead Consultant -Data Scientist
Lingaro Group
New Delhi
09.2024 - Current
- Developed and deployed machine learning models on MS Fabric, leveraging advanced ML techniques and prompt engineering to predict opportunities, and accurately forecast win/loss outcomes for leading global food service providers.
Data Scientist - Operational Research
Ford Motors
Chennai
01.2022 - Current
- Developed models to predict service parts demand to manage inventory
- Ensured timely availability of the right parts at dealerships, improving vehicle uptime and enhancing customer satisfaction
- Design algorithm to find optimal position of vehicles, to serve max
- Number of customers in a day and minimize vehicle idle team, Using techniques like Mixed Integer Programming, Google OR which can helps to reduce idle time of vehicle by 50%
- Design an appointment scheduling algorithm aimed at offering customers the best possible servicing slots in real time, with less than 2 seconds of response time, considering vehicle positions and the other pre-scheduled services for the day
- Proficiently deployed algorithms on Google Cloud Platform – GCP with a focus on efficient execution and scalability using 'Cloud Run'
- Spearheaded a Proof of Concept – POC utilizing LLM models and Prompt engineering
- Enabled users to directly extract information from data using natural language, eliminating the need for manual query writing
Associate Data Scientist
HDFC Life Insurance
Banglaore
10.2021 - 05.2022
- Developed predictive models to assess agent attrition risk, identifying high-risk Financial Consultants (FCs) on the brink of inactivity
- Implemented targeted retention initiatives resulting increase in a retention rate of ~20% for the total pool of inactive FCs
- Strategically segmented policyholders into distinct categories and evaluated the likelihood of them seeking loans against their policies
- Successfully secured 15% of total conversions through precise targeting efforts
- Monitor the model performance using PSI (Probability Stability Index) & CSI (Characteristic Stability Index)
Consultant - Supply Chain
Fractal Analytics
Bangalore
12.2020 - 09.2021
- Enhanced inventory management by forecasting the product life cycle of 150 cosmetic items for a leading global manufacturer
- Conducted data cleaning, exploration, and transformation to extract insights and draw conclusions from data
- Developed features and curated training datasets for modeling purposes
- Utilized a diverse range of forecasting and machine learning algorithms to predict the lifespan of market products
Business Analyst - Supply Chain
Bridgei2i Analyics Soluions (acquired by Accenture AI)
Bengaluru
07.2019 - 12.2020
- Built & deployed network optimization solution using Streamlit app hosted on AWS EC2, for one of the largest cement producers in India
- Applied various optimization (using PuLP library and open-source solvers) and meta-heuristic techniques to optimize large & complex outbound logistics warehouse allocation and reallocation problem using techniques like Mixed Integer Programming, Simulated Annealing using python
- Recommended optimal network design with minimum total logistics cost also optimal location of warehouses in addition to distribution network
- Added UI based user-friendly features on Streamlit app like lat-long validation and update, visualization of location and network comparison, updating any input parameters directly from UI (single values or bulk values)
- Opportunity to save INR ~750 Mn annually by implementing optimization solution at pan India level
Education
Master - Operational Research
University of Delhi
01.2019
Bachelors - Mathematical Sciences
University of Delhi
01.2017
Intermediate - Science
HBSE
01.2014
Matriculate -
HBSE
01.2012
Skills
- Programming Languages
- Optimization
- Machine Learning
- Forecasting
- Prompt Engineering
- Gen AI
- Python
- SQL
- Flask
Accomplishments
- Appointment Scheduling Algorithm nominated for Henry Ford Technology Award for showcasing our innovation and impact.
- Won first prize in hackathon by Hackerearth to build AI/ML to recommend optimal price change schedule.
- Received Award for making demo able asset.
- Received Spot Award for client appreciation.
- Accelerated promotion for quality and high impact deliveries.
- Won first prize in Hackathon conducted at organization level.
Timeline
Lead Consultant -Data Scientist
Lingaro Group
09.2024 - Current
Data Scientist - Operational Research
Ford Motors
01.2022 - Current
Associate Data Scientist
HDFC Life Insurance
10.2021 - 05.2022
Consultant - Supply Chain
Fractal Analytics
12.2020 - 09.2021
Business Analyst - Supply Chain
Bridgei2i Analyics Soluions (acquired by Accenture AI)
07.2019 - 12.2020
Master - Operational Research
University of Delhi
Bachelors - Mathematical Sciences
University of Delhi
Intermediate - Science
HBSE
Matriculate -
HBSE
Similar Profiles
Bartosz SokolowskiBartosz Sokolowski
Account Director | Enterprise Digital Transformation & Global Business Expansion at LingaroAccount Director | Enterprise Digital Transformation & Global Business Expansion at Lingaro
Ashok Kumar NettemAshok Kumar Nettem
Lead at Lingaro India Pvt LtdLead at Lingaro India Pvt Ltd
Mariusz MaczkowskiMariusz Maczkowski
Delivery Leader at LingaroDelivery Leader at Lingaro