Experience

Orpheus Cyber

• United Kingdom
• IT Services and IT Consulting
• 1 - 100 Employee

• Full Stack Developer

  • Aug 2022 - Present



BMI Group

• United Kingdom
• Wholesale Building Materials
• 700 & Above Employee

• Frontend Developer

  • Aug 2021 - Aug 2022



TFUN

• Full-stack Developer

  • Dec 2020 - Jul 2021

  ● Meeting with the development team to discuss user interface ideas and applications.● Designing new databases and data schemas using MongoDB, Mongoose and Express● Implementation of server and API endpoints using Node, Express and Postman.● Develop and maintain the front-end functionality of websites using HTML and CSS which is responsive across all devices.● React library to build frontend like sign-in/register form, shopping cart, shipping address, payment etc.● Built reusable components Loading Box, Message Box etc● Redux and redux-thunk to manage the state variables and to perform async operations. ● Implement user and admin authorization using JSON Web Token



Pairview

• United Kingdom
• IT Services and IT Consulting
• 1 - 100 Employee

• data scientist

  • Jul 2019 - Jan 2021

  • Worked closely with internal and external stakeholders to identify the requirements and goal of the business, perform analysis, produce business intelligence tools and develop machine learning models.• Generating actionable insights from extensive interrogation of large datasets using advanced statistical analysis methods and communicating findings to technical and non-technical stakeholders.• Implemented various algorithms in Python for Classification and Regression models including SVM, Linear Regression, Logistic Regression, AdaBoost, KNN, Random Forest, Decision Trees and Naïve Bayes using python to develop a predictive model that automatically notify the business 90 days before a customer is due to churn• Built interactive sales performance dashboards and visualisations to explore business sales patterns using PowerBI and Microsoft Excel• Forecasted regional and market channels sales over time using the ARIMA algorithm in python.• Developed Recommendation engine solutions that can automatically recommend a product to a customer based on their purchase history using Collaborative filtering method using Python• Developed Market Basket Analysis models using Apriori algorithm to uncover the association between products to find the relationship between the products the customer buy.• Carried out competitor analysis by reviewing price competitiveness, product composition and SWOT analysis of competitors versus the business.• Performed in-depth analysis to understand the drivers of shift in sales from retail to digital which includes a change in customer demography and reviewing sales KPIs.• Delved deep in the manufacturing and supply chain data to identify bootle necks, inefficient processes, waste and minimise cost and risks.