A driven and purpose-led Data & Analytics Analyst with a passion for advanced analytics and a talent for simplifying complex data into clear, meaningful insights. Proven track record of delivering data-driven business solutions that bring commercial and customer value, and ability to engage with a wide range of stakeholders.
Python/R - Data Cleaning, Data Visualization and Machine Learning
undefinedRejection Tracker Tool - 2022-12 - 2023-01
Developed a Rejection Tracker tool using Python, Power BI, and Excel for recording and analyzing rejected products and workflows during the planning phase of production. Implemented the tool to improve the efficiency of the production process and provide valuable insights into areas for improvement.
Kitting List Automation - 2022-08 - 2022-12
Created a Python and SAP integrated solution streamlining data extraction, document generation, and email distribution. Implemented a quality control scan for missing instructions, automated document sorting and email attachment, resulting in accurate and efficient data management
Speed & Crew Data Report - 2022-11 - 2022-11
Enhanced production processes with a Power BI report offering real-time visibility into critical product information, including components and production speed. The report quickly identifies missing information, incorrect data, and errors, providing an at-a-glance view into the production landscape
Learning to learn - 2020-05 - 2020-09
Developed a meta-learning model using Model-Agnostic Meta-Learning algorithm for University of Stirling that can easily be adapted to new tasks and application even with few training samples using python and a deep learning framework (Pytorch).
Database for a classified advert website - 2020-01 - 2020-02
Designed and implemented a robust back-end database using MySQL Workbench and MongoDB for a classified advertisement website.
Model to predict plasma concentration - 2019-11 - 2020-01
Conducted statistical analysis to predict plasma concentration in athletes, resulting in a predictive model using SPSS based on 202 sample dataset of both male and female athletes from 10 different sports.
2021-11 - Code Untapped/Cognizant-Python bootcamp
2021-07 - Bright Network – Technology Internship Experience UK
2019-12 - Machine Learning/ Deep Learning: Hands on Python in Big Data
2020-04 - NoSQL using MongoDB: MongoDB
2022-03 - Data Analysis with Power BI: LinkedIn Learning
Reading, board games and playing badminton