Hello,

I'm Tarun.

A Data Scientist.A Data Analyst.

About

A quantitative mind, mentored by industry pioneers.

Delivered data-driven insights for three companies by transforming raw, unstructured data into strategic assets. I leverage advanced prompt engineering and AI-augmented workflows to rapidly reduce time to insights. My workflow prioritises ethical integrity through a strict commitment to GDPR compliance and the FATES framework for responsible AI.

BasedSheffield, UKOpen to relocation
StatusOpen to rolesData Science · ML · AI · Research
Tarun Sridhara with Clive Humby
On the calendarWith Clive Humby — Data Scientist, Founder of dunnhumby, Inventor of the Tesco Clubcard, and the mind who coined “Data is the new oil.”Guest lecture · The University of SheffieldRead more

Experience

Three years across manufacturing, research, and operations.

Dec 2025 — Mar 2026
Most recent

Data Scientist & User Researcher

TrackMyMachines Ltd · University of Sheffield

Sheffield, United Kingdom

Jun 2023 — Aug 2025

Research Assistant

Department of Computer Science & Engineering, PES University

Bengaluru, India

Jan 2023 — Jun 2023

Data Analyst

Third Axis Ltd

Bengaluru, India

In Aggregate
3roles2countries240students taught£5,000industry funding secured

Education

Two institutions. Two disciplines. One trajectory.

POSTGRADUATE

MSc Data Science

The University of Sheffield

Sheffield, United Kingdom · Sept 2025 - Aug 2026

Among the top 100 universities in the world — a Russell Group institution recognised for research output across data, computing, and biomedical sciences. Coursework spans statistical learning, optimisation, large-scale data engineering, and applied machine learning.

#92QS World University Rankings 2026
Russell GroupMember institution
UndergraduateAug 2019 — Apr 2023

Mechanical Engineering

PES University · Bengaluru, India

Specialization in Aerospace Engineering

Tech Stack

The instruments. Quietly chosen, kept sharp.

Primary tools shown in accent. Adjacent tooling kept current — picked up as the problem requires.

Languages

04 · tools
PythonRSQLLaTeX

Modelling & ML

09 · tools
Scikit-learnStatsmodelsProphetNeural networksPCAEnsemble treesRegularised linearCross-validationExplainable AI

Data & Big Data

07 · tools
PandasNumPySparkDatabricksSciPyKNIMEETL pipelines

Visualisation

07 · tools
TableauPower BIStreamlitMatplotlibSeabornJupyterExcel Charts

Statistics

06 · tools
SPSSHypothesis testingSpearman's ρKendall's WImputationSurvival analysis

Tools & Platforms

07 · tools
GitGitHubJupyterMS ExcelMission PlannerSolidWorksANSYS

Generative AI

03 · tools
Claude CodeClaude DesignPrompt Engineering

Projects

Selected work, across disciplines.

Hackathons, capstones, research, and industry — each chosen for the leverage real data produced on a real outcome.

Research · ML / XAI · MSc DissertationIn Progress — 2026

Transcriptomic biomarkers for late-stage breast cancer

Predictive models on high-dimensional TCGA-BRCA RNA-seq data — log2 normalisation, variance filtering, and PCA to isolate differentially expressed features. Regularised linear, ensemble tree, and dropout-regularised neural network classifiers cross-validated for ROC-AUC, precision, and F1. Explainable-AI attribution validated against Spearman's ρ and Kendall's W for consensus across model classes.

PythonScikit-learnNeural networksPCAXAIBiomedical
Open Source · Portfolio TemplateMay 2026 · Claude Code

Clone This Site — Build Yours in Under an Hour

You're looking at it. Drop your CV into a folder, paste one prompt into Claude Code, and the AI reads your CV and builds your entire site — same Tesla Design System, same animations, zero design decisions. 44 files, fully typed, builds clean. Open-sourced on GitHub so anyone can have a portfolio like mine.

Next.js 16React 19Tesla Design SystemClaude CodeTypeScriptOpen Source
View on GitHub
Data & Design Hackathon · Aquatics GBApr 2026 · 72h sprint

SwimMetrics — Olympic readiness intelligence

Built SwimMetrics for Aquatics GB during the Data & Design Hackathon 2026 at the University of Sheffield — 2M+ historical athlete records processed in 72 hours via EDA and statistical imputation, then deployed as an interactive full-stack Streamlit dashboard translating raw data into actionable scouting intelligence.

PythonStreamlitEDAImputationDashboards
Read the story
NLP · RAG · LLMApr 2026

GroceryGPT — RAG-based UK Grocery Intelligence Assistant

End-to-end RAG pipeline over 1,900 UK grocery products (Open Food Facts) using BAAI/bge-small-en-v1.5 embeddings and a ChromaDB vector store — fully local, zero API cost. Deployed as a Streamlit chat UI with NutriScore metadata filtering, cited responses, and real-time latency display. Evaluated with RAGAS across 25 hand-crafted Q&A pairs: context_recall 0.45, answer_relevancy 0.75.

PythonLangChainChromaDBRAGASStreamlitOllama / Llama 3
View on GitHub
Engineering · CapstoneFeb 2023

Agricultural spraying drone

Engineered a fully operational drone from custom carbon-fibre fabrication — 60 kg total thrust, 10 kg payload, FEA-validated for 10 m impact, with semi-autonomous flight via Mission Planner.

ANSYSSolidWorksMission PlannerFEA

Contact

Looking for the next problem worth modelling. Let's talk.

Mood