Mohan Prakash Jeyasankar

AI Builder (Applied AI)

AI Builder

HiBob

London, UK

Nov 2025 – Present

AI Builder

HiBob · Nov 2025 – Present

Leading enterprise-scale AI systems combining LLMs, RAG, graph reasoning, and agentic workflows

Key Highlights

→Built AI-Driven Win/Loss Analysis Platform transforming Gong transcripts into structured insights
→Designed EIRE (Entity Resolution Engine) achieving 98.7% precision across multilingual text
→Created autonomous Loss Analysis Agents using ReAct pattern for deal post-mortems
→Implemented RAG + Graph-RAG for product deduplication and semantic search

BA / Data Science – GTM

HiBob

London, UK

Oct 2022 – Oct 2025

BA / Data Science – GTM

HiBob · Oct 2022 – Oct 2025

Established GTM analytics foundation and advanced forecasting capabilities supporting revenue operations

Key Highlights

→Built end-to-end win/loss analysis system from scratch (evolved into AI Builder role)
→Designed revenue reconciliation workflows: 1.25% churn reduction, 11% ARR uplift
→Defined CX operational KPIs achieving 8.5% reduction in SLA breaches
→Developed adoption/readiness scoring models for Professional Services

Data Scientist

The AF Group

Norwich, UK

Feb 2022 – Sep 2022

Data Scientist

The AF Group · Feb 2022 – Sep 2022

Built core NLP and forecasting systems to automate revenue operations and support intelligence

Key Highlights

→Developed NLP model for email sentiment & intent classification with automated routing
→Implemented Markov-based upsell forecasting: ~10% improvement in revenue accuracy
→Built deep learning sales forecasting models (PyTorch/TensorFlow)
→Created clustering models for customer segmentation & churn risk modeling

MSc Data Science & AI

University of Greenwich

London, UK

2021 – 2022

MSc Data Science & AI

University of Greenwich · 2021 – 2022

Advanced studies in machine learning, statistical analysis, and AI applications

Key Highlights

→Thesis: Churn prediction using survival analysis techniques
→Combined Kaplan-Meier, Cox Proportional Hazards with ML methods
→Achieved high predictive accuracy using Random Forest, XGBoost, LightGBM
→Published comprehensive framework enabling proactive retention strategies

Analyst

GREedge

Chennai, India

Jun 2019 – Aug 2020

Analyst

GREedge · Jun 2019 – Aug 2020

Built sales performance dashboards and supported business reviews with data-driven insights

Key Highlights

→Maintained sales performance dashboards and KPI reporting
→Tracked pipeline, revenue forecasts, and team performance
→Supported monthly/quarterly business reviews with growth insights
→Delivered recommendations to leadership on risks and opportunities

BE Mechanical Engineering

Velammal College of Engineering & Technology

Madurai, India

2015 – 2019

BE Mechanical Engineering

Velammal College of Engineering & Technology · 2015 – 2019

First Class honors - Foundation in engineering principles and analytical thinking

Key Highlights

→First Class honors degree
→Strong foundation in analytical thinking and problem-solving
→Engineering principles applied to data science career
→Developed systematic approach to complex technical challenges

Projects

Open-source tools and utilities

Project	Description	Stack	Link
ModelBridge Unified abstraction layer for multi-LLM orchestration with automatic failover	Unified abstraction layer for multi-LLM orchestration with automatic failover	PythonLLM APIsPyPI	PyPI
LocalBrain Chrome extension for persistent AI memory across conversations	Chrome extension for persistent AI memory across conversations	JavaScriptChrome APIs	Chrome Store