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Michael Kir

Data Scientist

Data Analyst

DNA Payments Group
March-June 2024
  • Developed two critical Power BI dashboard projects based on SalesForce API using DAX and Power Query M
  • Boosted client conversion rate by 65% through Large-Scale In-House Sales Team Performance Dashboard
  • Increased Affiliate participation by 5.6X through live feed of sales KPIs

Commercial Project Analyst

MPC
August 2022 - February 2024
  • Led cross functional initiative for PowerBI integration, streamlining departmental information exchange
  • Implemented PowerBI dashboard reducing operating capital required by 1/3
  • Managed FP&A for Apple Vision Pro dinosaur demo project with 24% forecasted margin

Data Extraction Intern

KPMG
May 2021 - September 2021
  • Automated critical Excel processes, reducing investigation timeline by 3 days
  • Developed custom macros and scripts for efficient data processing
  • Collaborated with fraud investigation team to enhance data analysis workflows
Python
Data Mining
Machine Learning
Natural Language Processing
Simulation Modelling
Swift
Dashboards & Visualisation
Data Warehousing

University of Westminster

MSc Data Science & Analytics
January 2025-2026
  • Course applies AI, Machine Learning and decision science to Data Science & Mining, Business Intelligence.
  • Using FinBERT to data mine r/WallStreetBets for trading information and market sentiment.
  • Training K-means analysis of transaction data for a retail bank to create clusters for CRM Marketing Data Mart.

University of Westminster

First Class Honours, BSc Accounting
September 2019-2022
  • Westminster Business Consultants: Best Negotiator Award

Big Idea Competition - University of Westminster

Flavour: NLP Data Science Tool
  • Developing a tool that can replace excel in data analysis.
  • Using Natural Language Processing as a way to prompt a bespoke AI/ML model which uses feedback to communicate with the user to build data analysis.
  • Tools such as visualisations/dashboards & modelling/forecasts will enhance decision making for businesses.

Quitin Hog Trust - University of Westminster

Understanding Data Scraping: Technical Tools, Legal and Ethical Limitations
  • We research techniques & tools for data scraping and technologies used to prevent it. Their application in data mining for training AI/ML models and its use for commercial and national security purposes.
  • Working tightly with the law experts, we evaluated the current use of these tools under the GDPR. Limitations of the legal regime and its potential pitfalls in preventing unethical use of data scraping.