“I had the opportunity to work closely with Jennyfer on several Sales Operations analytics initiatives, and she consistently stood out as a detail-oriented and highly driven data scientist. Her ability to dive deep into complex datasets while maintaining accuracy and structure made a significant impact on the quality of our reporting and insights. Jennyfer brings a strong analytical mindset and a genuine willingness to continuously learn and expand her skillset—especially within the BI space. Whether we were aligning on Share of Wallet analysis or collaborating on reporting solutions in Power BI, she was always proactive in understanding the “why” behind the data and ensuring the outputs were both technically sound and business-ready. Her attention to detail and commitment to getting things right made her an incredibly reliable partner on cross-functional work. Beyond her technical capabilities, Jennyfer is a great collaborator who communicates clearly and works seamlessly across teams. She’s someone who elevates the work around her, and I would highly recommend her to any organization looking for a talented, curious, and dependable data professional.”
About
Data scientist and Springboard’s Data Science program graduate. Experienced in SQL, Power…
Activity
-
👋 Welcome George Puthukkeril our new Senior UX Designer! George comes to i3 with over a decade of design experience accumulated stateside and…
👋 Welcome George Puthukkeril our new Senior UX Designer! George comes to i3 with over a decade of design experience accumulated stateside and…
Liked by Jennyfer Vu
-
Verdict reached! I’m excited to join the incredibly talented team at Steno next week as a Staff Product Manager. I can’t wait to get started…
Verdict reached! I’m excited to join the incredibly talented team at Steno next week as a Staff Product Manager. I can’t wait to get started…
Liked by Jennyfer Vu
Experience
-
-
-
-
-
-
-
-
-
Education
-
Springboard
-
Springboard Data Science Career Track
• Comprehensive program that teaches advanced and intensive Data Science curriculum
• Curriculum covers skills in Python, SQL, data wrangling, exploratory data analysis, inferential statistics, data storytelling, machine learning and predictive analytics
• Industry standard capstone projects with mini-projects
• Unlimited 1:1 professional mentors oversight with in-depth career coaching
Capstones:
Project 1: King County House Prices…Springboard Data Science Career Track
• Comprehensive program that teaches advanced and intensive Data Science curriculum
• Curriculum covers skills in Python, SQL, data wrangling, exploratory data analysis, inferential statistics, data storytelling, machine learning and predictive analytics
• Industry standard capstone projects with mini-projects
• Unlimited 1:1 professional mentors oversight with in-depth career coaching
Capstones:
Project 1: King County House Prices for First Time Home Buyers (Exploratory Data Analysis, Interactive Bokeh Map)
Project 2: Seattle Crime Mapping For Wonder Hoodie--World's First Bullet Proof Hoodie (Natural Language Processing, Tableau Dashboard) -
-
-
Licenses & Certifications
Volunteer Experience
-
Student Volunteer
RotaCare Free Health Clinic
- 1 year
Health
Checked in patients, processed triaging, managed inventory, and interpreted in Vietnamese
Languages
-
Vietnamese
-
Recommendations received
2 people have recommended Jennyfer
Join now to viewOther similar profiles
Explore more posts
-
Vitae Health Limited UK
The "talent shortage" in data science isn't what you think it is. The real problem? Recruiters who don't understand what they're hiring for. Data science roles are projected to grow 74% annually, yet companies struggle to fill positions. Why the disconnect? 1. JOB DESCRIPTIONS THAT MISS THE MARK Most data science job posts read like a technical wishlist rather than realistic requirements. Focus on core competencies
-
jobtower.io
🚀 Data Analyst Remote Jobs Worldwide: How to Find, Land, and Succeed Data analyst remote jobs worldwide have opened opportunities for professionals to work from anywhere while contributing to global teams. Whether you're transitioning to remote work or aiming to level up your analytics career, this guide shows where to find remote data analyst roles, the skills employers seek, and practical tips to land and thrive in a distributed environment. Read the full article on https://lnkd.in/gCkFx3m7 #DataAnalystRemoteJobs #RemoteDataAnalyst #RemoteAnalyticsJobs #GlobalDataAnalystJobs #WorkFromAnywhereDataAnalyst #JobTower #RemoteJobs #CareerGrowth #Hiring #JobSearch #itjobsnearme
-
Charles Owolabi
I used to think mentorship was about a wise expert showing the way. Until I became one—and realized it’s so much more. A few years ago, I began mentoring a mid-career professional woman who was just entering the data field. I thought I was there to teach. But what I didn’t expect was how much I would learn. She brought fresh energy, asked tough questions, and challenged the “usual way” of doing things. In guiding her, I was forced to reflect on my own practices. In helping her grow, I grew too. 💡 That’s when it hit me: Mentorship isn’t a transfer of knowledge. It’s an exchange of perspectives. It’s not one person pulling the other up a ladder— It’s two people climbing together, each helping the other find better footing. 🔁 The mentor gains clarity. 🚀 The mentee gains confidence. 🎯 Both gain direction. Whether you're the mentor or the mentee, you're on a path of shared evolution. So if you’re thinking about becoming a mentor—or finding one—do it. Not because you have all the answers. But because you’re willing to grow, together. Because that’s what mentorship truly is: A journey of growth—for both. #Mentorship #GrowthJourney #Leadership #CareerDevelopment #MutualGrowth #LifelongLearning #DataLeadership #ProfessionalDevelopment
-
Sachin K Agarwal
📉 The Shift in Data Analyst Roles: What You Should Apply for in 2025 🚀 The traditional "Data Analyst" title is no longer the one-size-fits-all role it once was. By 2025, companies are seeking more domain-specific analyst roles tailored to their teams and business needs. Not because data is less valuable — in fact, it's more valuable than ever — but because the context around data matters more. 💡 Here's the shift we're witnessing: 🔍 2020: Data Analyst ➡️ 2025: * Business Analyst * Product Analyst * Growth Analyst * Marketing Analyst * Financial Analyst * Operations Analyst * Risk Analyst * Fraud Analyst * Healthcare Analyst * Business Intelligence Analyst * Technical Analyst * Decision Support Analyst * Power BI Developer * Tableau Developer 📌 What this means for you: Don't just aim for a job title — align your skills with industry needs. Whether you're strong in storytelling, dashboards, SQL, financial modeling, or product metrics — there’s a role that fits your strength. 🎯 Focus on: * Domain expertise * Business acumen * Tool-specific proficiency (Power BI, Tableau, SQL, Python) * Communication and data storytelling 👉 Whether you're starting out or evolving your career, aim to bring value through context-driven data insights. That's what teams really need in 2025. #DataAnalytics #BusinessAnalyst #ProductAnalyst #PowerBI #MarketingAnalytics #SQL #CareerTips #JobSearch2025 #BI #GrowthAnalyst #Tableau #DataJobs #DigitalTransformation #LinkedInGrowth #CareerDevelopment #SachinAgarwal #FreelanceAnalyst
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content