Aseem Vats

CEO

Hamburg, Hamburg, Germany10 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

10+ years driving data innovation across multiple industries.
Expert in building scalable platforms and predictive models.
Proven track record in AI-powered SaaS product development.

Stackforce AI infers this person is a SaaS and Logistics expert with strong capabilities in data-driven product management.

Contact

Skills

Core Skills

Data Product StrategyProduct OwnershipProduct ManagementStakeholder ManagementSaas Product DevelopmentProduct-market FitAi Product ManagementPredictive ModelingBusiness IntelligenceProgram ManagementSupply Chain Automation

Other Skills

A/B TestingAI Product StrategyAgile DesignAgile DiscoveryAgile MethodologiesAmazon RedshiftAmazon Web Services (AWS)Artificial IntelligenceArtificial Neural NetworksBig Data AnalyticsBusinessBusiness Intelligence (BI)Change ManagementCommunicationCompetitive Benchmarking

About

Product leader with 10+ years of experience driving data innovation across logistics, travel tech, and AI-powered SaaS. I specialize in building scalable platforms, predictive models, and customer intelligence tools that unlock business growth. At Kuehne+Nagel, I lead global data product strategy—delivering enterprise platforms on GCP, real-time analytics in Tableau, and ML-powered customer insights. Previously, I built digital twins, GPS optimization tools, and predictive delivery models. I am also advising AI-first edtech startup on personalization, learning analytics, and go-to-market strategy. My background blends product ownership, data science, and engineering—turning complex systems into intuitive, high-impact solutions.

Experience

Kuehne+nagel

2 roles

Global Product Owner

Promoted

Feb 2023 – Present · 3 yrs 1 mo

Enterprise Data Platform (Feature Superstore):
Spearheaded the design and implementation of a scalable data platform on Google Cloud Platform (GCP), integrating data from 10+ European transport management systems. Led cross-functional teams (data engineering, software development, business operations) to standardize data definitions and field mappings.
● Built and maintained a multi-terabyte BigQuery warehouse with 200+ features, serving as the single source of truth for analytics, reporting, and ML models
● Developed automated pipelines for data quality validation across release cycles
● Delivered Tableau dashboards for real-time monitoring of customer profitability, lane performance, and product category metrics
● Owned the end-to-end delivery of data interfaces as a product, ensuring high availability and usability
Customer Analytics Suite:
Designed and deployed a 360° customer intelligence tool using SQL, Python, and Tableau, enabling granular analysis of shipment structure, weight distribution, order frequency, profitability, and geospatial trends.
● Empowered sales and operations teams to identify growth opportunities and optimize customer engagement
● Enhanced reporting performance and usability through advanced data modeling and visualization techniques

Data WarehousingJiraBusiness Intelligence (BI)Data Product StrategyGoogle BigQueryStakeholder Management+10

Senior Manager Data Science & Analytics

Mar 2019 – Feb 2023 · 3 yrs 11 mos

On-Time Performance Optimization: Engineered a digital twin of KN Road’s European groupage network to monitor postcode-to-postcode delivery performance.
● Modeled end-to-end delivery segments (pickup, linehaul, delivery) and benchmarked against system-generated promise times
● Incorporated holiday calendars, customs delays, and exception handling into predictive models
● Applied machine learning to identify depot–postcode combinations with high failure rates
● Result: Achieved a 20% improvement in delivery performance within 3 months of launch
GPS Sensor Integration & Route Optimization: Partnered with Google X Labs to pilot next-gen sensor tech for real-time GPS tracking across fleet and depots
● Designed and executed field experiments to optimize sensor placement and signal fidelity
● Built tools to monitor device battery health and manage sensor distribution
● Applied Kalman filtering to clean GPS data, estimate speed, and calculate route efficiency
● Visualized movement patterns using Kepler.gl, driving actionable insights for route planning

JiraGoogle BigQueryProduct ManagementGPS TrackingStakeholder ManagementGoogle Cloud Platform (GCP)+5

Arctech labs

Product Advisor

Jan 2023 – Present · 3 yrs 2 mos · Remote

Claydeck Platform Evolution:
Advising the strategic development of Claydeck, an AI-powered SaaS platform transforming competitive exam prep through personalized learning journeys, adaptive content delivery, and predictive analytics
● Defined product vision and roadmap to align with learner behavior, market trends, and business goals
● Led continuous discovery initiatives using user interviews, behavioral analytics, and competitor analysis to refine product-market fit
● Collaborated with engineering, design, and data science teams to accelerate MVP delivery and optimize feature prioritization
AI-Driven Personalization & Performance Insights:
● Guided the integration of machine learning models for personalized content recommendations, learning path optimization, and performance forecasting
● Established KPIs to measure engagement, retention, and learning outcomes
● Supported go-to-market strategy and product launch execution in a high-growth startup environment
Claudeck android app has got 5000+ installs and 4.8+ rating with minimal marketing spending

Competitive BenchmarkingJiraStakeholder AlignmentProduct-Market FitMachine LearningSaaS Product Development+9

Makemytrip.com

Product Manager (Data Science)

Mar 2018 – Mar 2019 · 1 yr

Dynamic Discounting Engine for Hotels: Spearheaded the design and deployment of a real-time pricing optimization system using Reinforcement Learning and Anomaly Detection algorithms
● Delivered ₹3M+ in daily savings by dynamically adjusting discounts based on user behavior and funnel position
● Integrated the engine into the booking flow on android, ioS and webapp, optimizing conversion rates and boosting P&L performance
Hotel Clustering for Personalization & Supply Strategy: Developed a Similar Hotel Clustering framework to identify competitive cohorts and low-supply zones
● Enabled more accurate hotel ranking, intent modeling, and personalized recommendations
● Provided actionable insights for supply expansion and targeted marketing
Predictive Modeling for Booking Intent: Partnered with data scientists to build an Intent-to-Book model using Gradient Boosting and LSTM neural networks
● Captured nuanced customer behavior across sessions to forecast booking likelihood
● Enhanced targeting precision and personalized user journeys, driving higher engagement

Predictive ModelingFunnel OptimizationJiraProduct VisionGradient BoostingStakeholder Management+10

Amazon

3 roles

Business Intelligence Engineer II

Oct 2017 – Mar 2018 · 5 mos · Hyderabad, Telangana, India

Network Excellence and Optimization
Developed Dashboard-cum-portal with intelligent alerting system
The tool presents real time container status and dwell time details across staging/stacking areas. Incorporated an auto-alerting email system basis user configurable threshold limits for dock congestion, containers at risk of missing schedule, and wrong equipment assignment for scheduled truck-loads
Created real-time dashboard of NA Supply Network for senior leadership
Developed a mechanism to process high velocity live shipment scan data using SNS feed to setup an aurora DB enabling near real time monitoring at less than 10 min lag. Data is analyzed to pinpoint network bottlenecks, identify real time shipment exceptions, and historical network performance metrics

Network OptimizationBusinessYard ManagementPythonAmazon Web Services (AWS)RStudio+1

Business Analyst

Dec 2016 – Oct 2017 · 10 mos · Hyderabad, Telangana, India

Network Excellence and Optimization Team For North America Middle Mile Supply Chain.
Awarded the coveted Jeff Wilke’s Just Do It Award for on trailer pool management tool.
Developed decision tree based logic using greedy optimization for trailer slotting and optimal buffer for trailerpools for FC yards. Automated the empty trailer drop and removal process significantly reduced yard operating costs.
Developed statistical model to estimate case queue-level average-handling time and productivity of associates. Extended model for agent stack ranking and performance analysis using historical correspondence level data

Business

Program Manager

Sep 2016 – Nov 2016 · 2 mos · Hyderabad, Telangana, India

Managed real time exceptions in the Amazon Air network for Peak'16 working with both internal and external stakeholders.
Responsible for air network expansion and flight launches to include new air nodes in the network.(Hub and Spoke model)
Managed the deal inventory inbound process in North America warehouses coordinating with vendors and third party logistics partners
Received Best New Hire Award In Network Operation Center for automating deals inventory tracking

Program ManagementBig Data AnalyticsProduct Operations

Flipkart

Analyst

Jul 2015 – Sep 2016 · 1 yr 2 mos · Bengaluru Area, India

Shipment Sortation Platform Design: Partnered with E-kart leadership to architect a lightweight, agile sortation application for Flipkart’s supply chain
● Enabled flexible and scalable operations across PAN India sort centers
● Improved throughput and reduced manual intervention in shipment handling
Next Day Delivery Scale-Up: Spearheaded automation initiatives that quadrupled Next Day Delivery capacity across India
● Led deployment of Linear Flat Belt Sorters and system integration at key sorting hubs
● Enhanced speed, accuracy, and reliability of parcel movement
Network Expansion & Service Innovation: Contributed to network planning and rollout of Flipkart’s low-cost Economy service
● Balanced cost-efficiency with delivery performance, expanding reach to underserved regions

Sortation SystemsSystem IntegrationSupply Chain AutomationStakeholder CollaborationSupply Network PlanningAgile Design+3

Parle products pvt. ltd

Summer Intern

May 2013 – Jul 2013 · 2 mos · Delhi Area, India

In-plant training of biscuit plant covering all the sections such as manufacturing, quality control, engineering and packaging
Analyzed operations and investigated the supply chain management of the plant
Troubleshooted for various defects in biscuit manufacturing which led to an overall increase of 20 % in processing efficiency