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Analytics Engineer · HealthTech · Data & AI

Ketann Ingaale

—  Analytics Engineer

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About

Who I am

01

Transforming complex data into insights that advance health, science, and human understanding.

I'm a Data Science professional and Analytics Engineer at Healf, building scalable data infrastructure that bridges health science, technology, and personalised wellbeing. My work spans biomarker analytics, ML systems, and evidence-backed recommendation engines.

I hold an MSc in Data Science from the University of Southampton (recipient of the Southampton Presidential International Scholarship), where my dissertation on Localisation of Autonomous Vehicles using LiDAR Sensor earned a distinction mark of 77/100 — supervised by Dr. Daniel Clark & Dr. Luis-Daniel Ibáñez.

My background spans three disciplines: Computer Engineering, Finance (MBA), and Data Science — giving me a uniquely multidisciplinary perspective on AI research, probabilistic modelling, and real-world deployment of intelligent systems.

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Years Experience
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Degrees Earned
0
Dissertation Mark
0
Publications & Patents

Experience

Where I've worked

02
01
Nov 2025
Present

Healf

Analytics Engineer · London, UK

Designed the Evidence Graph — a scalable data and ML infrastructure connecting products to mechanisms, biomarker outcomes, and research-grade claims, forming the foundation of Healf's evidence-backed recommendation system. Led applied ML research on wellness personalisation, developing algorithms integrating biomarker, behavioural, and preference data to generate adaptive recommendations with confidence scores. Initiated the Healf Outcomes Program: real-world cohort studies measuring pre/post biomarker shifts to establish a proprietary research backbone.

  • Python
  • DBT
  • Data Engineering
  • ML
  • Biomarker Analytics
02
Feb 2025
Nov 2025

The Boots Group

Healthcare & Wellness Specialist · UK

Delivered evidence-based healthcare consultations across nutrition, supplementation, and lifestyle categories, aligning with NHS guidance and Boots wellness frameworks. Achieved GPhC-accredited Pharmacy NOS at RQF Level 2. Used a data-driven approach to track customer health trends, connecting clients with Boots' omnichannel services and optimising product recommendations and stock strategies.

  • Healthcare Consulting
  • Statistical Analysis
  • GPhC Certified
03
Jun 2022
Aug 2023

Infosys

Associate Consultant · India

Engineered data analytics and ML prototypes to optimise enterprise decision systems using Python, SQL, and cloud-based pipelines. Conducted predictive modelling and statistical analysis on large-scale operational datasets, applying supervised learning and time-series techniques to improve business forecasting accuracy. Collaborated with domain experts to translate complex business challenges into research-driven analytical frameworks.

  • Python
  • SQL
  • Oracle CPQ
  • Cloud
  • Machine Learning
04
Jun 2020
Dec 2020

Leap Info Systems

Product Development Assistant · Pune, India

Collaborated with stakeholders to gather requirements and translate business challenges into scalable technical solutions. Produced technical documentation and analytical reports converting complex data into actionable recommendations. Operated in an agile start-up environment, supporting end-to-end product development and delivery.

  • Agile
  • System Architecture
  • Technical Documentation

Projects

Selected work

03

001 · MSc DISSERTATION · 77/100

Localisation of Autonomous Vehicles using LiDAR

Explored enhancing autonomous vehicle localisation in GPS-challenged environments using LiDAR sensors and the KITTI-CARLA dataset. Compared K-Means, Convex Hull, Minimum Enclosing Circle, and ICP methods, then developed an advanced mathematical model incorporating derivative analysis and dynamic parameter adjustments — reducing localisation errors by up to 95% across urban and rural environments.

  • Python
  • LiDAR
  • KITTI-CARLA
  • ICP
  • Mathematical Modelling
Supervised by Dr. Daniel Clark & Dr. Luis-Daniel Ibáñez

002 · PUBLISHED PAPER · PATENT

Blockchain-Based Grievance Management System

Proposed a decentralised grievance redressal system using Hyperledger Fabric, ensuring transparency, immutability, and tamper-proof handling of complaints via a hierarchical auto-escalation mechanism. Implemented with Flask, React, and PostgreSQL — increasing data security by 40%. Published in Springer (FICTA 2020) and awarded a patent (Publication No. 38/2019).

  • Hyperledger Fabric
  • Flask
  • React
  • PostgreSQL
  • Blockchain
Read Paper — Springer / FICTA 2020

003

Hidden Markov Models for Stock Market Prediction

Investigated HMMs to identify hidden market regimes and predict stock price movements within complex financial time-series. Designed a probabilistic framework capturing bullish, bearish, and volatile state transitions, improving predictive accuracy over traditional deterministic models.

  • Python
  • Hidden Markov Models
  • Probabilistic Modelling
  • Time-Series
Guide: Prof. Nicolas Green · University of Southampton

004

Global Economic Trend Analysis (1960–2022)

In-depth analysis of global GDP trends over six decades, assessing economic impacts of major geopolitical events, technological advancements, and financial crises. Leveraged advanced data visualisation to uncover the rise of emerging markets and shifts in global economic power.

  • Python
  • Pandas
  • Matplotlib
  • Data Visualisation
Guide: Dr. Luis-Daniel Ibáñez · University of Southampton

005

Forest Fire Simulation

Interactive Python simulation modelling forest fire spread under varied conditions — integrating real-time adjustments for density, wind, tree types, and water bodies. Implemented fire sensors, percolation study modes, and sensitivity analysis revealing critical density thresholds and non-linear fire spread behaviour.

  • Python
  • Simulation
  • Chaos Theory
  • Percolation
Guide: Dr. Markus Brede · University of Southampton

006

UAV Quadcopter with Machine Learning

Led development of a UAV quadcopter for live-video surveillance, search and rescue, and autonomous delivery. Integrated ML for real-time object detection and autonomous tracking (boosting accuracy 20%), engineered flight control using Raspberry Pi 3, and optimised flight performance by 30%.

  • Python
  • Raspberry Pi
  • Computer Vision
  • Autonomous Systems
Guide: Prof. Dr. Ajitkumar Shitole · Savitribai Phule Pune University

Recognition

Published & Recognised

04
Conference Paper

Blockchain-Based Grievance Management System

Springer · FICTA 2020 · Advances in Intelligent Systems and Computing

DOI: 10.1007/978-981-15-5788-0_20

View Paper
Patent

Grievance Redressal System

Government of India Patent Office

Publication No. 38/2019

Registered IP
Scholarship

Southampton Presidential International Scholarship

University of Southampton · 2023

Competitive merit-based award for international postgraduate students

University of Southampton

Skills

What I work with

05

Programming

  • Python
  • R
  • SQL / MySQL / PostgreSQL
  • JavaScript
  • Flask & React
  • Bash / Shell

Machine Learning & AI

  • PyTorch & TensorFlow
  • Keras
  • Geometric Learning
  • Model Explainability (SHAP, LIME)
  • MLOps (MLFlow, W&B)

Data Science & Engineering

  • Apache Spark & Databricks
  • DBT (Data Build Tool)
  • NumPy & Pandas
  • Jupyter / Google Colab
  • Tableau & Power BI

Computer Vision & NLP

  • OpenCV & YOLO
  • PyTorch Vision & Detectron2
  • Hugging Face Transformers
  • NLTK & OpenNLP
  • Retrieval Augmented Generation

Cloud & Infrastructure

  • AWS & Google Cloud
  • Microsoft Azure
  • Docker & Kubernetes
  • Git / GitHub / GitLab
  • RESTful APIs

Mathematical Foundations

  • Statistics & Probability Theory
  • Chaos Theory
  • Markov Chains
  • Time-Series Analysis
  • Calculus & Linear Algebra

Education

Academic background

06
2023 – 2024

MSc Data Science

University of Southampton · Southampton, UK

Dissertation: Localisation of Autonomous Vehicles using LiDAR Sensor · Mark: 77/100
Modules: Machine Learning, Deep Learning, Data Mining, Data Visualisation, Computational Finance
Southampton Presidential International Scholarship recipient

Postgraduate
2020 – 2022

MBA — Finance

Savitribai Phule Pune University (PUMBA) · India

Modules: Business Statistics, Quantitative Techniques, Management Information Systems, Data Analytics

Postgraduate
2016 – 2020

B.E. Computer Engineering

Savitribai Phule Pune University · India

Modules: Machine Learning, AI & Robotics, Cloud Computing, Data Analytics, High Performance Computing

Undergraduate

Let's talk

Open to research
& collaboration.

ketanningaale@gmail.com