Akshay Deore

Data Scientist & Data Engineer

4+ years building scalable data platforms, machine learning models and analytics products that turn complex data into decisions.

Get in touchView resume

Tech stack

Python
Azure
PySpark
Databricks
SQL
Power BI
R
AWS
Pandas
scikit-learn
Docker
Git
Python
Azure
PySpark
Databricks
SQL
Power BI
R
AWS
Pandas
scikit-learn
Docker
Git
About

Profile summary

Dedicated and focused Data Scientist / Data Engineer with 4+ years of experience. Proven ability to implement proactive strategies through data analysis and research, with expertise in developing models to optimize healthcare pathways.

Proven expertise in leading end-to-end product ownership, data analysis, validation and visualization initiatives, delivering actionable insights and solutions to stakeholders.

Skilled in leveraging advanced analytics, machine learning and statistical modelling techniques to extract meaningful patterns and trends from complex datasets.

Demonstrated ability to independently manage multiple projects, ensuring adherence to timelines.

Expertise

Skills & technologies

Technical Skills

  • Python
  • Azure
  • PySpark
  • SQL
  • Power BI
  • R
  • AWS

Data Analysis & Modelling

  • Regression Analysis
  • Logistic Regression
  • Data Modeling
  • Random Forest
  • Machine Learning
  • Data Visualization

Data Management & Validation

  • Data Cleaning
  • Data Preprocessing
  • Data Validation
  • Data Analysis
  • Critical Thinking
Career

Experience

Data Scientist & Data Engineer

Dec 2022 – Present

Course5i

  • Built and maintained scalable People Analytics data pipelines using Azure Data Factory (ADF), PySpark, Azure Databricks and ADLS, reducing data availability time and supporting workforce reporting and analytics.
  • Developed end-to-end ETL/ELT workflows and data models for HR analytics, enabling data-driven workforce planning and decision-making.
  • Created interactive dashboards and self-service reporting solutions using Power BI and R Shiny, reducing ad-hoc reporting effort by ~30% and improving stakeholder access to insights.
  • Worked closely with stakeholders to define business needs and deliver analytical solutions aligned with organizational objectives.
  • Implemented monitoring and alerting frameworks using Azure Monitor, Log Analytics, Jira and ServiceNow, improving operational efficiency and incident response times.

Analyst

Mar 2022 – Dec 2022

Wafer Enterprises Ltd, UK

  • Analyzed demand data to optimize supply chain forecasting and strategy.
  • Utilized Sage 300 ERP to enhance accounting processes, improve data accuracy and generate comprehensive financial reports.
Selected work

Projects & research

Course5i

People Analytics Data Platform

Built and maintained scalable People Analytics data pipelines using Azure Data Factory (ADF), PySpark, Azure Databricks and ADLS, reducing data availability time and supporting workforce reporting and analytics. Developed end-to-end ETL/ELT workflows and data models for HR analytics, enabling data-driven workforce planning and decision-making.

  • Azure Data Factory
  • PySpark
  • Databricks
  • ADLS
  • ETL/ELT
Course5i

Search & Discovery Optimization

Developed NLP-based classification models to improve search accuracy and content relevance, leading to a ~40% improvement in content discoverability for end users.

  • NLP
  • Classification
  • Machine Learning
NHS · Ulster University

Dementia Care Pathway Markov Model

Developed a Markov chain model for the dementia care pathway, incorporating statistical analysis of population-based data to improve diagnosis accuracy, reduce delays and enhance treatment timeliness.

  • Markov Chain
  • Healthcare
  • Statistical Modelling
AIBL · Ulster University

Clinical Diagnostics Classification

Applied machine learning algorithms to classify clinical diagnostics results, enhancing accuracy and efficiency in healthcare data analysis.

  • Machine Learning
  • Healthcare Analytics
  • R
Course5i

LLM-Powered Client Dashboard Chatbot

Built an LLM-based RAG chatbot enabling natural language queries on client dashboards and content, using Confluence and web-scraped data indexed in a vector database.

  • LLM
  • RAG
  • Vector DB
  • Python
Background

Education & credentials

Education

  • Ulster University, Magee, UK

    MSc Data Science with Applied Research

    2019 – 2021

  • Savitribai Phule Pune University, Maharashtra, India

    Bachelor of Engineering in Computer Engineering

    2014 – 2018

Certifications & badges

View credential wallet →

Publications

  • Markov chain modelling and sandbox tool for redesigning dementia care pathway.
  • “Implementation of Augmented Reality to ease visualization of real estate firms.” IJCRT, Volume 6.
CONTACT

Let's work with data

Open to conversations about data engineering, machine learning and analytics roles or collaborations.

aakshaydeore@gmail.com
+919420088300WhatsAppLinkedIn

© 2026 Akshay Deore · Data Scientist & Data Engineer