About Me
Kaushik

Hi, I am Lakshminaryanan Kaushik Rangaraj, an Information Systems major entering my final year at the National University of Singapore (NUS).

With a strong foundation in Data Science & Analytics, nurtured through diverse internship experiences, I have honed my skills in leveraging data to drive insights and make informed business decisions.

Passionate about solving complex problems, I thrive on using data-driven approaches and cutting-edge technologies to tackle real-world challenges and achieve impactful results.

Skills

Programming Languages

  • Python

    Python

  • Java

    Java

  • SQL

    SQL

Data Science & Analytics

  • Numpy

    Numpy

  • Pandas

    Pandas

  • Scikit-Learn

    Scikit-Learn

  • TensorFlow

    TensorFlow

  • Keras

    Keras

Data Visualisation

  • Tableau

    Tableau

  • PowerBI

    PowerBI

  • Matplotlib

    Matplotlib

  • Seaborn

    Seaborn

Database

  • PostgreSQL

    PostgreSQL

  • MySQL

    MySQL

  • PrestoSQL

    PrestoSQL

Web Development

  • HTML

    HTML

  • CSS

    CSS

  • JavaScript

    JavaScript

  • React.js

    React.js

Experience

TES

Jan 2023 - Jun 2023

Data Scientist Intern

  • Trained machine learning models such as Linear Regression, XGBoost, CatBoost, Random Forest, K Nearest Neighbours, to predict customer value and generate revenue insights for the Sales Team
  • Automated monthly Excel report generation using Python, resulting in a 50% reduction in man-hours
  • Designed and implemented PowerBI dashboards for tracking AWS costs, facilitating cost management and analysis
  • Implemented Python scripts to streamline monthly data verification of Group Financial Storyboards, enhancing efficiency and accuracy
    Pandas

    Pandas

    Matplotlib

    Matplotlib

    Seaborn

    Seaborn

    Scikit-Learn

    Scikit-Learn

    Python

    Python

    PrestoSQL

    PrestoSQL

    PowerBI

    PowerBI

Shopee

Sep 2022 - Dec 2022

Business Intelligence Intern

  • Automated monitoring of key business metrics by developing SQL scripts to support to business operation teams
  • Developed workflows to track buyer delivery collection lapses, streamlining operations and improving data processing efficiency by over 20%
    PrestoSQL

    PrestoSQL

Quest

May 2022 - Jul 2022

Data Analyst Intern

  • Spearheaded tracking of KPIs using descriptive analytical techniques with Python for growth, marketing, and product teams
  • Performed Cohort Analysis using Tableau to optimise data-driven decision-making for customer acquisition, activation, and retention strategies
  • Conducted data extraction & data cleaning with Pandas, building pipelines and reducing data processing time by over 50%
    Pandas

    Pandas

    Matplotlib

    Matplotlib

    Seaborn

    Seaborn

    Tableau

    Tableau

Education

National University of Singapore

Aug 2020 - May 2024

  • Bachelor of Computing in Information Systems (Honours)
  • Certificate of Merit in Information and Communications Technology (ICT) Solutioning Knowledge Area
  • NUS School of Computing Certificate of Recognition (Leadership)