PhD Researcher · Liverpool, U.K

Hi, I'm Akhil.
I turn data into decisions.

I work as a Data Science Researcher

I'm a PhD researcher at Liverpool John Moores University, working on personalised prediction of hypertension risk using AI. The work draws on UK Biobank data, machine learning, deep learning and explainable AI, with ongoing work on causal discovery. Sponsored under the LJMU Thematic Doctoral Pathway. My wider background spans research, software quality assurance, and customer engagement. Apart from code, I sing, listen to a lot of music and follow sports.

Photo of Akhil A. Naik
Toolkit

Skills & Tech Stack

Day-to-day tools I reach for when working with data.

Languages

  • Python
  • R
  • SQL
  • Java
  • HTML
  • CSS

Data Science

  • pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • ggplot2
  • Jupyter

ML & GenAI

  • scikit-learn
  • TensorFlow
  • PyTorch
  • Hugging Face
  • Local LLMs
  • SHAP

Tools & Databases

  • MySQL
  • MongoDB
  • Git
  • Tableau
  • MS Excel
  • VS Code
Research output

Academic Publications

Selected peer-reviewed work. The full list is on the publications page.

Under Review

Multi-horizon Machine Learning for Population-Level Hypertension Risk Stratification in the UK Biobank

European Heart Journal – Digital Health

PhD work, Liverpool John Moores University.

Published 2025

Artificial Intelligence and Digital Twins for the Personalised Prediction of Hypertension Risk (scoping review)

A. Naik, J. Nalepa, A. M. Wijata, J. Mahon, D. Mistry, A. T. Knowles, E. A. Dawson, G. Y. H. Lip, I. Olier, S. Ortega-Martorell

Computers in Biology and Medicine, Vol. 196, Article 110718, 2025

DOI: 10.1016/j.compbiomed.2025.110718
Selected work

Projects

A flat view of my projects. Tap a filter to narrow by language, technique or domain. Multiple filters add up.

Showing all 11 projects.

Predicting stair fall risk MSc · Research

Stair Fall Risk Prediction

Supervised ML to predict stair falls using biomechanical data with SMOTE, GAN oversampling, XGBoost & SHAP for interpretability.

PythonMLHealthcareSHAPMSc
Human activity recognition Deep Learning

Human Activity Recognition

Recognising six daily activities from time-series sensor data, comparing classical models with CNNs and deep networks.

PythonDeep LearningCNNTime-series
Income prediction Neural Nets

Income Prediction (Adult Census)

Neural-network approach to income prediction with feature importance to surface the drivers behind each forecast.

PythonDeep LearningClassification
Netflix data analysis EDA

Netflix Data Analysis

Exploratory analysis of Netflix's catalogue to surface content-strategy and growth opportunities by geography.

PythonEDAVisualization
Glass identification UCI Dataset

Glass Identification

Visual analysis of which oxides in glass best predict refractive index and glass type, using the UCI dataset.

RMLEDA
El Nino data analysis Climate

El Niño Data Analysis

How air and sea-temperature variations across the equatorial Pacific depend on buoy position, using oceanographic data.

REDATime-series
Automobile data analysis Regression

Automobile Data Analysis

Identifying which features drive vehicle price and whether the price can be predicted from a planned feature set.

REDARegression
Heart failure survival analysis Healthcare

Heart Failure Survival Analysis

Survival-analysis techniques applied to UCI heart-failure records to find which features most affect survival.

RHealthcareSurvival
Olist e-commerce analysis E-Commerce

E-Commerce Analysis · Olist

SQL deep-dive across 100k+ Olist orders covering customer behaviour, seller performance and delivery patterns.

SQLEDAAnalytics
MSc · YouTube

Hand Gesture Recognition

Hand-gesture recognition with Kinect 2.0 using HOG features and an SVM classifier in Processing. MSc dissertation project.

JavaComputer VisionSVMHOGMSc
BTech Project

Indian Movie Success Prediction

Predicting Indian movie success from box-office data and social-media features using data-mining techniques. Final-year BTech project at NIT Goa.

Machine LearningData MiningClassification
Writing

From the Blog

Short reads on data, analytics, and the curious shape of information.

Academics

Education

A path through computer science, advanced studies and data science. Now researching hypertension risk factors at the PhD level.

In Progress 🔬

PhD, Computer Science

Liverpool John Moores University, U.K · Feb 2024 – Present
"Personalised Prediction of Hypertension Risk Using AI", drawing on UK Biobank data, machine learning, deep learning and explainable AI, with ongoing work on causal discovery. Sponsored under the LJMU Thematic Doctoral Pathway.

Distinction · 2nd in cohort 🎓

MSc Data Science

Liverpool John Moores University, U.K · Sep 2022 – Oct 2023

Distinction 🎓

MSc Advanced Computer Studies

Liverpool John Moores University, U.K · Sep 2016 – Oct 2017

GPA 7.47 💻

BTech, Computer Science & Engineering

National Institute of Technology Goa, India · Jul 2011 – May 2015

Career

Professional Experience

A timeline of the roles, organisations and people who've shaped how I work today.

Hover or tap a role to see what it involved.

Oct 2024 – Mar 2025

Student Mentor Part Time

Unitemps : Liverpool John Moores University

Liverpool, U.K more

Assisted professors in conducting undergraduate and postgraduate Data Science and Machine Learning lab sessions, mentoring students, resolving technical and conceptual challenges and providing guidance.
Jul 2024 – Oct 2024

Research Assistant Part Time

Unitemps : Liverpool John Moores University · School of Sports & Exercise Sciences

Liverpool, U.K more

Worked on a project analysing and finding patterns in data of participants with Developmental Coordination Disorder using machine learning.
Feb 2024 – Present

Data Science Researcher (PhD)

Liverpool John Moores University · LJMU Thematic Doctoral Pathway

Liverpool, U.K more

Working on personalised prediction of hypertension risk using AI, with UK Biobank data, machine learning, deep learning and explainable AI, with ongoing work on causal discovery. Sponsored under the LJMU Thematic Doctoral Pathway.
Nov 2023 – Feb 2024

International Accommodation Assistant Part Time

Unitemps : Liverpool John Moores University

Liverpool, U.K more

Designed and ran international student accommodation surveys, cleaned and analysed the responses, and produced insight summaries that fed into the university's UKCISA reporting.
Nov 2023 – Feb 2024

Research Assistant

University of Liverpool · Cystic Fibrosis Antimicrobial Resistance Prediction

Liverpool, U.K more

Contributed to a project predicting antimicrobial resistance in people living with cystic fibrosis. Performed data analysis and built machine-learning and deep-learning models for predictive analytics. Two conference abstracts co-authored from this work (see Publications).
Feb 2023 – Jul 2023

Research Assistant Part Time

Unitemps : Liverpool John Moores University · School of Sports & Exercise Sciences

Liverpool, U.K more

Worked on the LJMU project predicting stair falls in older people using AI/ML. Performed data analysis, developed supervised ML models and ran post-hoc analysis using explainable AI (SHAP).
Oct 2022 – Sep 2023

International Student Ambassador Part Time

Unitemps : Liverpool John Moores University

Liverpool, U.K more

Call-backs to international LJMU applicants and resolving student queries on the LJMU Campus Connect app. Participated in virtual events, subject-specific webinars, Applicant Days, pre-departure sessions, campus tours and ad-hoc online research tasks. Recognised as the 1st ever International Ambassador of the Month.
Jun 2011 – Sep 2016
May 2019 – Sep 2022

Transport Contractor Entrepreneurship Flexible

Sole Proprietorship · Akhil A. Naik

Ponda, Goa, India more

Ran a sole proprietorship across two flexible stints (started shortly after turning 18) providing construction and civil-works machinery (JCBs / backhoes, trucks, water tankers and sewage tankers) for excavation, demolition, transportation and related services. Managed labourers, assigned daily tasks and handled all client dealings end to end.
Feb 2018 – Apr 2019

Test Consultant Full Time

Open Destinations Infotech Pvt Ltd

Panaji, Goa, India more

Joined as Junior Test Consultant (Feb 2018 to Jul 2018) and promoted to Test Consultant in August 2018, running through Apr 2019. Software quality assurance for major product modules and client products using Java and Selenium, including automating and maintaining the smoke and regression suites. Logged and documented defects in Jira and collaborated with the team to resolve issues within SLA.
Oct 2017 – Jan 2018

Customer Service Agent Full Time

The Contact Company (Abacus Outsource Ltd)

Birkenhead, U.K more

Delivered high-quality customer service to Sainsbury's customers via telephone and email. Managed and resolved customer complaints, provided product and service information, identified and escalated priority issues, followed up where necessary, and documented call information according to standard operating procedures.
Recognition

Awards & Scholarships

Honours and recognitions from along the way.

🏆

1st ever International Ambassador of the Month

Unitemps : Liverpool John Moores University

🎓

LJMU International Achievement Scholarship

Awarded for MSc Data Science and MSc Advanced Computer Studies, Liverpool John Moores University

🔬

LJMU TDP Studentship

PhD Computer Science, Liverpool John Moores University Thematic Doctoral Pathway

🔦

Torch Bearer Award

For contributions as Software Test Consultant at Open Destinations Infotech Pvt Ltd

Say hello

Let's connect

Got a project, a question, or just want to chat about data? Drop a message. I read every one.