Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Elena Viazzo, an early-career data analyst with a strong foundation in Python, SQL, and Machine Learning, plus hands-on experience analyzing financial, consumer, and media data. I enjoy turning data into actionable insights that inform content performance, audience behavior, and strategic decisions for growth. I'm passionate about leveraging data to optimize processes, build scalable models, and contribute to cross-functional teams in fast-paced environments.…I'm Elena Viazzo, an early-career data analyst with a strong foundation in Python, SQL, and Machine Learning, plus hands-on experience analyzing financial, consumer, and media data. I enjoy turning data into actionable insights that inform content performance, audience behavior, and strategic decisions for growth. I'm passionate about leveraging data to optimize processes, build scalable models, and contribute to cross-functional teams in fast-paced environments.

Elena Viazzo





I'm Elena Viazzo, an early-career data analyst with a strong foundation in Python, SQL, and Machine Learning, plus hands-on experience analyzing financial, consumer, and media data. I enjoy turning data into actionable insights that inform content performance, audience behavior, and strategic decisions for growth. I'm passionate about leveraging data to optimize processes, build scalable models, and contribute to cross-functional teams in fast-paced environments.…I'm Elena Viazzo, an early-career data analyst with a strong foundation in Python, SQL, and Machine Learning, plus hands-on experience analyzing financial, consumer, and media data. I enjoy turning data into actionable insights that inform content performance, audience behavior, and strategic decisions for growth. I'm passionate about leveraging data to optimize processes, build scalable models, and contribute to cross-functional teams in fast-paced environments.

Available to hire

I’m Elena Viazzo, an early-career data analyst with a strong foundation in Python, SQL, and Machine Learning, plus hands-on experience analyzing financial, consumer, and media data. I enjoy turning data into actionable insights that inform content performance, audience behavior, and strategic decisions for growth.

I’m passionate about leveraging data to optimize processes, build scalable models, and contribute to cross-functional teams in fast-paced environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Italian

Fluent

Work Experience

Investments Data Analyst at Gamalife (A Pax Partners portfolio company)

June 1, 2015 - July 1, 2015

Analyzed 10 years of price data using Python (Pandas) to evaluate portfolio performance; tracked portfolio progress and created data visualizations to summarize insights for investment decisions.

Showcase Project at Purdue University

August 1, 2022 - December 1, 2022

Led a showcase project to design a cloud-connected security camera using Raspberry Pi 4, implemented on Linux OS, managed virtual machines, and linked footage to Google Drive for demonstration.

Senior Capstone Project at Purdue University

January 1, 2026 - May 1, 2026

Led a group to build 5 machine learning models to analyze 65M+ datapoints for traffic violations; evaluated and selected the most efficient model to predict violations and inform prevention strategies.

Analyzing Ticket Sales with Neural Networks at Purdue University

August 1, 2025 - May 1, 2026

Trained a neural network on ticket sales data to analyze performance trends across years; assessed architecture choices and their impact on predictive accuracy.

Digital Marketing for on-Campus Fashion Show at Purdue University

January 1, 2026 - May 1, 2026

Created Instagram Reels and TikTok content to promote the annual student-led fashion show; managed outreach for sponsors to secure funding for an elevated event experience.

Small Group Coordinator at CH AARG (Changing Health Attitudes + Actions to Recreate Girls)

August 1, 2023 - May 1, 2024

Led social media content creation to promote campus health and fitness initiatives; organized and ran full-day events for 100+ students to foster community and empower female students.