Data Analyst student

*rd-year Data Analytics undergraduate with hands-on experience in cleaning, analyzing, and

visualizing real-world datasets for business decision-making. Skilled in Excel, Python and SQL, with experience translating business questions into clear insights and reports. Seeking a Data Analyst Internship to build practical experience in reporting, trend analysis, and decision support. ERIN ELISA JOSEPH

***************@*****.*** 988-***-**** Linkedin/Erin-Elisa-Joseph EDUCATION

TECHNICAL SKILLS

ABOUT

PROJECTS

Bachelor of Technology- Computer Science Engineering in Data Science July 2023- May 2027 Christ University, Bengaluru- School of Engineering and Technology Honours in Artificial Intelligence & Machine Learning CGPA: 8.66/10

12th Grade PCM with Computer Science

Hill Blooms School- Wayanad

Graduated 2023

Percentage: 77.20%

March 2023

RELEVANT COURSEWORK

Job-Resume Modification Tool

Designed an explainable AI framework to interpret black-box machine learning models. Applied feature-attribution techniques to improve model transparency. Analyzed trade-offs between model accuracy and interpretability on real datasets. Visualized explanations to support trust, fairness, and decision-making. Tools: Python, Scikit-learn, XAI techniques, Matplotlib Data Science Intern

Analyzed real-world food composition data to identify allergens using Python-based data processing.

Built classification models to predict allergy risks and improve user decision-making. Collaborated with cross-functional team to translate analytics into product features. Documented model logic, assumptions, and results for handover and deployment. April - May 2025

PROGRAMMING & QUERYING: Python, SQL

REPORTING & VISUALIZATION: MS Excel,StreamLit, Google Sheets DATA ANALYSIS: Data Cleaning, Aggregation, EDA, Trend Analysis LIBRARIES: Pandas, NumPy, Matplotlib

COLLABORATION TOOLS: GitHub, Jupyter Notebook, Colab Social Media Engagement Analytics Dashboard

Developed an interactive dashboard to analyze social media engagement data across platforms. Cleaned and transformed raw data and created calculated metrics such as engagement and engagement rate.

Built KPI cards and visual reports to evaluate platform performance, content types, and posting trends.

Tools: Python, StreamLit & CSV/Excel dataset.

Basics of Data Science

Python

EDA

Data Engineering & Visualization

Statistical Methods & Generative AI

Big Data Analytics

Web Analytics

Cloud Computing

February 2026

December 2025

Contact this candidate