Soroush Samani - Technical Business Analyst and Data Analyst
UK-based Technical Business Analyst applying AI, machine learning, analytics, and automation to business and healthcare problems. Top-student prize winner from the University of Kent.
Email: sms1618w@gmail.com. Phone: +44 7415 043722. LinkedIn: linkedin.com/in/soroush-samani-b14294200. GitHub: github.com/smSamani.
Core Skills
SQL, Python, data analysis, machine learning, Power BI, Tableau, NLP, big data, simulation, bot development, generative AI, LLMs, RAG, Agentic AI, process mapping, data visualization, automation, and workflow optimization.
Profile
Soroush has hands-on experience delivering end-to-end analytics pipelines, decision-support dashboards, workflow automation, and AI-powered systems that translate business problems into measurable impact. His work spans numerical, textual, and spatial-temporal data across healthcare, sports analytics, and e-commerce, with a focus on explainable AI and stakeholder communication.
Featured Projects
Diabetes Readmission Intelligence Platform
Built a healthcare analytics platform with SQL/Tableau BI analysis, XGBoost, SHAP explanations, FastAPI, React, SQLite, RAG, Agentic AI support, a patient queue, digital chart, risk context, and natural-language clinical data retrieval. Links: project page, GitHub, live demo.
Football Analytics Pipeline
Built an end-to-end Python pipeline for StatsBomb data using XGBoost, K-Means, SHAP, spatial heatmaps, and LLM-generated coach-ready tactical insights. Link: GitHub.
Open Internet Relay Gateway
Engineered a proxy-based gateway with Google Search, image browsing, YouTube browsing, secure downloads, yt-dlp, FFmpeg, OCR, PDF/CSV/Excel processing, and AI access modes. Link: GitHub.
Local Watch Party
Built a LAN-first synchronized video streaming app using React, Node.js, Socket.IO, HLS, FFmpeg, and WebRTC, with playback sync, on-demand transcoding, dual-language subtitles, and voice chat. Link: GitHub.
Patient Flow Simulation
Used SIMUL8 and Stat::Fit for discrete event simulation at Kent Diabetes Centre, achieving 93% queue compliance, 85% pharma patient flow, and identifying insulin flow as the primary bottleneck.
Amazon Reviews Sentiment Analysis
Processed 6.4 million reviews and 12 GB of data with chunked ETL and parallel computing, then used BERT and zero-shot NLP models for sentiment classification and review-rating alignment.
Experience
IT Support Analyst, Apple Golshan, Jan-Jun 2024
Automated product pricing using APIs, Python Selenium, and Google Apps Script; built real-time pricing aligned with competitor data; improved pricing accuracy and reduced pricing workload.
IT Business Analyst, NoSyntax, Jan-Dec 2023
Designed IT project architectures and data pipeline structures, prepared Discovery, BRD, PRD, and FRD documents, conducted business data analysis, mapped processes, and supported workflow automation.
Business Analyst Intern, Zeus Web Design, Nov 2022-Jan 2023
Gathered business requirements, translated client needs into technical solutions, bridged communication between clients and developers, and supported solution decisions.
Education and Certifications
MSc Business Analytics, University of Kent, UK, 2024-2025. Top-student prize winner. Focus: machine learning, big data, prescriptive analytics, simulation modelling, business statistics with Python, project management, advanced spreadsheets, and digital transformation.
BSc Business Administration, Shiraz University, Iran, 2018-2023.
Certifications: AWS Machine Learning Essentials, SQL for Finance, Programming Basics from University of Michigan, and Python from Kaggle.
References
References include Professor Jesse O'Hanley, Dr. Ricky Mak, Professor Shaomin Wu, Professor Desmond Doran, and Dr. Mohammad Hossein Ronaghi, highlighting analytical ability, simulation modelling, statistics, programming, machine learning, research maturity, and communication of complex analytical outputs.