Grab, Singapore

Senior Data Scientist/Economist • December 2022 - Present

Global Fashion Group, Singapore

Senior Data Analyst • August 2021 - December 2022

• Performed customer decile analysis and produced dashboards to answer the questions - "how many of our customers are spending more or less this year than the previous year?"
• Built AWS Quicksight and Superset dashboards to track the performance of sustainable products and availability of sustainable SKUs on all 4 of GFG's eCommerce platforms, improving the workflow, reporting time and data accessibility for the Chief Sustainability Officer and her team, driving the growth of our sustainable product catalogue.
• Worked with geographically and functionally diverse teams (Berlin, Brazil, Colombia, Singapore and Logistics/Operations, Management Board/C-Suite, Data Engineering) to deliver data pipelines and Quicksight dashboards tracking the share and performance of GFG's marketplace operations on two of our eCommerce platforms.
  • Added new metrics and aggregations to our data warehouse for this initiative.
  • Deliverables were used for decision-making on expanding marketplace share.
• Built Quicksight dashboards to track the GFG Tech team's headcount and turnover rate over time. Used by the People & Culture team to derive insights on attrition and drive tech team growth.
• Technologies: AWS Redshift, AWS Quicksight, Python, SQL, DBeaver.

Johnson & Johnson, Singapore

Data & Business Analyst • July 2020 - Present

• Built Tableau dashboards to visualize monthly net sales actual vs. planned
• Used to track growth, YTD sales and top-performing franchises of the APAC MedTech business
• Analyzed historical sales data (SQL, Impala engine) to project conversion of inventory to sales (days in inventory)
• Identified and visualized exclusive warehouse zones using Python and Plotly Express
• Used to optimize roll-out of a voice picking pilot in MedTech’s China warehouses
• Analyzed the data to identify warehouse zones with both high order volume and high exclusivity percentage
• Applied MS Excel analysis to multiple datasets to ensure data integrity of an inventory insights tool
• Delivered end-to-end development on J&J Vision’s SAP ERP systems leading to business benefits of over 10 million USD meaning of the data by interacting with the relevant teams and equipment vendors.

Product Owner • September 2019 - July 2020

• Identified product bugs and improvements from consumer reviews using text mining – Python, TextBlob, SpaCy
• Developed proof-of-concept chatbots with Azure Cognitive Services – Bot Framework SDK, QnAMaker, Express.js
• Designed and implemented a progressive web application (PWA) to check latest incident status – React.js, AWS S3, Lambda
• Top 15 in Global Data Science Hackathon: Forecast time series of monthly shipment quantities with feature engineering to improve accuracy; produced actionable insights for supply planning team – SARIMAX, FB Prophet, Python

Data & Analytics Intern • May 2019 - September 2019

• Developed Kibana ETL health monitoring dashboards to facilitate data reliability, accessibility, and integrity. Parsed and configured input to the dashboards through Logstash and Elasticsearch (Elastic Stack)
• Delivered a PoC providing new conversational opportunities to sales reps based on relevant & hot topics in medical journals and research – NLP, Topic Modelling with Python, Gensim, pyLDAVis

Keppel Data Centres, Singapore

Data Science Intern • December 2018 - January 2019

• Established a comprehensive data dictionary and dataset for data centre efficiency improvement from scratch, by collating the raw data from various sources.
• Documented the context and meaning of the data by interacting with the relevant teams and equipment vendors.

The Hindu Group - EDGE and Young World, Chennai

Sub-Editor/Reporter • March 2017 - June 2018

• http://bit.ly/authorpagespatika | Published 65 of my articles across the EDGE and Young World supplements of The Hindu.
• Cut down the length of the production cycle -- editing, page-making, and design -- by 30%.
• Reduced the number of proofreading iterations by 60%, taking the initiative to fix factual and design errors at an earlier stage.
• Cultivated relationships with external columnists as their preferred point of contact, putting the team ahead of schedule.
• Streamlined weekly production process by clearly delineating team tasks and individual responsibilities.
• Nominated to represent the organisation on a media familiarization trip, organised by Canadian High Commission of India; reported on institutes of higher education in Vancouver, Edmonton and Calgary.

The Hindu Group - EDGE, Chennai

Intern • December 2016 - February 2017

• Research, Writing
• Editing, Proofreading
• Reporting, Interviewing

Dept. of Electrical & Computer Engineering, NUS

Honour's Year Project • August 2015 - May 2016

• Personality Inferences from Social Media Data
• Keywords: Machine Learning, Social-Media Mining, Natural Language Processing, Data Analytics, Azure ML Studio