Summary
Overview
Work History
Education
Skills
Affiliations
Timeline
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Tina mol Chenthamarakshan

Luton,Bedfordshire

Summary

My academic studies in data science, computer science, and statistics have given me a solid foundation in data analysis, statistics, and programming, which I apply to my role as a data analyst intern. I know how to use data manipulation programs like Pandas, NumPy, and Excel, as well as programming languages like Python, R, and SQL. Along with having a strong grasp of statistical techniques like regression analysis and hypothesis testing, I also have experience with data visualization systems like Tableau and Power BI. I've been able to work with cross-functional teams, clean and analyze datasets, and successfully communicate findings through reports and data visualizations thanks to my internship.I can't wait to put my knowledge to use on actual data challenges, pick the brains of seasoned experts, and help the team succeed while honing my technical and analytical skills.

Overview

3
3
years of professional experience
4
4
years of post-secondary education

Work History

Data analyst intern

Wizcore
London, City of London
03.2025 - Current
  • Cleaned and organized large datasets for analysis using Python
  • Performed exploratory data analysis (EDA) to identify trends and patterns in data.
  • Communicated findings through reports and presentations to non-technical stakeholders.
  • Collaborated with a team of researchers to prepare and present findings.
  • Analyzed customer data from an e-commerce platform to identify distinct customer segments.
  • Used Python’s Pandas library to clean and analyze the raw data, then visualized traffic patterns, conversion rates, and other metrics.
  • Created visualizations in Tableau to help the retail team understand customer purchasing patterns.
  • Visualized the results using Matplotlib and Excel to present the findings in an easy-to-understand format for management.


Data analyst trainee

Luminar Technolab
Kochi, INDIA
01.2022 - 12.2022
  • Analyzed historical sales data to determine key performance drivers and seasonal trends.
  • Preprocessed data to remove inconsistencies and outliers, and visualized trends in sales with Python’s Matplotlib.
  • Presented findings, helping the team to optimize inventory and sales strategies for peak seasons.
  • Applied K-Means clustering on customer demographic and purchase data to identify distinct customer groups.
  • Visualized the segments using ggplot2 in R, providing recommendations for targeted marketing efforts.
  • Contributed to increased customer engagement through personalized marketing campaigns.
  • Analyzed web traffic data to identify patterns in user behavior and key performance metrics.
  • Used Python to clean and analyze data, and visualized trends in Tableau for management.
  • Assisted the marketing team by providing actionable insights to optimize website content.

Education

Btech - Computer science and Engineering

Mar Baselious Institue of Technology and science
India
08.2012 - 08.2016

Skills

Programming Languages:

  • Python
  • SQL
  • EXCEL
  • Pandas
  • Numpy
  • Matplotlip/seaborn
  • PowerBi
  • Machine Learning (Basic)
  • Cloud Computing AWS(Basic)

Affiliations

  • Researching
  • Reading
  • Writing
  • Watching Movies
  • Cooking

Timeline

Data analyst intern

Wizcore
03.2025 - Current

Data analyst trainee

Luminar Technolab
01.2022 - 12.2022

Btech - Computer science and Engineering

Mar Baselious Institue of Technology and science
08.2012 - 08.2016

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Tina mol Chenthamarakshan