Experience

• 

  Vorfreude community

  Apr 2020 - Nov 2020

  Lead ui/ux designer

  • Responsible for designing UI/UX for an app - WaitQ, designed to help with social distancing at local shops.• Helped in designing basic backend architecture and data storage format.• Participated in several meetings with Government Officials to discuss the prospect of deployment of the app.

• 

  Askamicus

  Feb 2021 - Oct 2021

  Founding member / data scientist

  • Extracted and processed vast amounts of Legal textual data spanning over 100,000 case files using Regex• Implemented NER and rule based text extraction to obtain an accuracy of over 70% on unstructured case data with varying formats• Created interactive visualizations and a web based dashboard for presenting them using Dash and Plotly

• 

  Smollan

  May 2021 - Jul 2021

  Data science consultant

  • Scraped and filtered Instagram data of 300+ accounts across 3 countries to derive business intelligence insights, utilising web scraping techniques and Python libraries.• Built a data-cleaning pipeline to process and analyse social media data, extracting meaningful business insights.• Assisted in formulating the database structure and aided in the cloud deployment of the application, ensuring scalable and efficient data management.

• 

  Akzonobel

  Sept 2021 - Mar 2022

  Data science intern

  • Collected and integrated large datasets of colour recipes to identify different toners, leveraging data pre-processing techniques.• Built and optimised machine learning (ML) and deep learning (DL) models to accurately detect colours based on reflection values, improving colour-matching accuracy.• Developed ML/DL models to optimise colour recipes, reducing base colours required from 4-6 to 2-3, enhancing resource efficiency in recreating a colour.

• 

  Avl

  Dec 2021 - May 2022

  Data science intern

  • Analysed time series electrical data from 3 IIOT ecosystems to identify inefficiencies and optimise energy consumption using Python and statistical methods.• Created 20+ interactive visualisations using Plotly to illustrate individual machine parameters, focusing on energy consumption and operational performance.• Employed machine learning techniques to establish threshold safety values for machinery, ensuring predictive maintenance and operational safety.

• 

  Eclerx

  Jan 2022 - Jun 2023

  • Collected and processed traffic data from 4+ sources using APIs, ensuring data integrity and consistency.• Automated Traffic Analytics report generation using Python, cutting production time from 2.5 days to 6 hours, based on client-defined KPIs.• Developed an end-to-end ETL pipeline in Databricks to generate a comprehensive dashboard for Traffic Analytics, utilising tools like SQL for data manipulation and Python and Matplotlib for visualisations.

  • Associate Process Manager

    Jul 2022 - Jun 2023

  • Data Analytics Intern

    Jan 2022 - Jul 2022
• 

  Mondelēz international

  Sept 2024 - now

  Data & analytics intern - mondelēz digital services