Rohan Anand

CEO

Delhi, India13 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led AI transformation at a major logistics provider.
Expert in large language models and machine learning.
Proven track record in optimizing logistics operations.

Stackforce AI infers this person is a Data Science Leader in the Logistics sector, specializing in AI and machine learning applications.

Contact

Skills

Core Skills

Ai SolutionsPeople ManagementLarge Language Models (llm)Data AnalysisMachine Learning

Other Skills

Data-Driven InsightsArtificial Intelligence (AI)Computer VisionGenetic AlgorithmsC++E-commerceCloud ComputingManagement ConsultingBusiness DevelopmentBusiness StrategyProgrammingAnalyticsStrategyCJavaScript

About

As the head of the data science team at one of India's largest tech enabled logistics provider, I am driven by high-impact problem-solving . In this role, I ensure my team delivers tangible and measurable outcomes, leveraging my diverse experience. My previous entrepreneurial ventures have equipped me with a broad skill set, from software development to product management and sales, allowing me to approach problems with a unique perspective. My problem-solving approach is centered on usability and product relevance rather than purely on engineering. While I grasp the technical aspects, my focus is on answering critical questions about what to build, rather than how to build it. This involves identifying the right metrics, validating assumptions, evaluating cost-benefit and ROI, and discerning true user demand versus internal wishful thinking. These strategic decisions save resources, reduce frustration, and accelerate go-to-market timelines. I continually refine my process through experience, cross-industry discussions, and learning from both successes and failures. My adaptable, Swiss-knife approach has enabled my team to achieve remarkable results in the logistics sector, both in India (#Bharat) and globally. Feel free to reach out if you think I can assist you in any way.

Experience

13 yrs 8 mos

Total Experience

1 yr 11 mos

Average Tenure

7 yrs 3 mos

Current Experience

Delhivery

3 roles

VP, Head Of Data Science / AI

Promoted

Oct 2025 – Present · 7 mos

Leading a team of 30 including data scientists, product managers, developers, analysts to lead the AI transformation at the org. Data Products Externalisation and P&L, AI Adoption, Problem Solving for core logistics/NLP/OR use cases using LLMs, Agents, Heuristic and ML Algorithms. Enjoy vibe coding and shipping faster :)

AI SolutionsLarge Language Models (LLM)People ManagementData-Driven InsightsData AnalysisMachine Learning+1

Senior Director, Head of Data Science

Promoted

Apr 2024 – Sep 2025 · 1 yr 5 mos

Leading all the AI/ML/OR initiatives within Delhivery, the largest 3PL company in India with ~20 data scientists and analysts working towards making us more capable, efficient and competitive using a mix of custom LLMs, agentic AI

Large Language Models (LLM)AI Solutions

Principal Data Scientist

Dec 2018 – Mar 2024 · 5 yrs 3 mos

We work cross domain using latest ML techniques in text, image, video and structured data to solve data problems at scale. Some of the problems my team has worked on :
Address Localisation, geocoding, disambiguation , de-depulication for getting a match for more than 98% addresses which is core to any logistics automation.
Learning based on feedback for serviceability preferences of centres and riders and cost constraints to assign load to the best fit based on these multiple objectives
Multiple Computer vision automation tasks for Proof Of Delivery, Invoice Verification, Aadhar, Kyc document verification and anomaly detection.
Product Categorisation to cover 95% of products for handling in pandemic, flying safety, return
prediction, volumetric weight estimation and downstream use cases with categorisation into 5000+ leaf nodes
Prediction Models for RTO, ETA etc.
We have three major sub groups and current priorities are address geocoding - location intelligence, estimation of time/distances - trace data intelligence, last mile optimisation - Optimisation Intelligence.

People ManagementData-Driven InsightsData AnalysisMachine LearningComputer Vision

Bucket

Co Founder

Jan 2017 – Sep 2018 · 1 yr 8 mos · Gurgaon, India

Bucket is a camera app for real-time photo syncing in groups.
Developed a robust event and priority based queuing architecture. Think of it like Whatsapp for groups, with differential history and backup for each group member
Implemented addition of unregistered users, full functionality in offline mode and an on-demand pull based
architecture to complement the queue based pub-sub architecture.
Integrated Deep Learning based algorithms for photo wrangling including face detection, blur detection and face identification.

Unihire

Founder

Jun 2016 – Nov 2016 · 5 mos · Gurgaon

Unihire (www.unihire.in) is a platform that connects companies with universities and colleges to hire students for full-time roles/internships
It is a complete cloud based solution for college campus placements connecting students and companies while utilizing the existing placement office.
It allowed college and recruiters to interact easily over a platform with access to verified information and metrics to sort and filter candidates. Recruiters can access data at individual, criteria, college and location filters to make the hiring decisions more objective.
Managed all aspects of running a startup ranging from market research, development, hiring and business development.

Delhivery

2 roles

Senior Data Scientist

Promoted

Apr 2015 – Jun 2016 · 1 yr 2 mos · Gurgaon

Involved in hiring and expanding the team, training fresh batch of hires, working with management to understand solvable business problems
Key Projects :
Route planning using genetic algorithms to minimize travel distance & turn around time (TAT) and maximize trips.
Demand Modelling and several classification algorithms using product attributes and entity extraction.
Modelling of return propensity and fraud modelling using product data, customer history, location data to minimize number of void attempts.

Data Scientist

Mar 2014 – Mar 2015 · 1 yr · Gurgaon

First hire for the AI initiatives within Delhivery.
Led the efforts for the 1st in industry solutions for address segmentation problems using NLP techniques including HMM, CRF, etc. which ultimately led to building a project team of 15+ people and gave the company an operational edge over competition for load balancing and time reduction.
Address segmentation model directly improved operational structure as well as efficiency by double-digit percentage points. It served as a foundation to a lot of ongoing efforts wrt to Route Planning, ETA simulation, Post Route Efficiency, Address Mismatch Detection and Dynamic Allocation for Load Balancing in the network.

Citi

Assistant Manager

Jul 2013 – Feb 2014 · 7 mos · Pune

Worked under Citi's Enterprise Technology Solution group for coding IT solutions used to manage risk and facilitate financial transactions and record keeping.