Tiffany Teasley

I didn’t start my career in tech.

I spent twenty years teaching and transitioned into data science in my forties. I failed my first data science interview, fixed what I missed, turned it around, and got the job I originally interviewed for.

Today, I’m a working Data Scientist and AI Developer who’s been through the challenges of this path and now mentors and guides aspiring data scientists and career changers.

Credibility and recognition:
- LinkedIn Top Voice (2024-2025)
- Named one of the Amazing People at LexisNexis 
- "How I Got My First Job as a Data Scientist" Featured on Udemy and KDnuggets 

Through Data Sistah, I mentor aspiring data scientists through:
- Career coaching and clarity
- AmplifAI: guided, AI-enhanced portfolio development
- Resume, LinkedIn, and job search support

Learn more at: https://www.data-sistah.com/

Data Scientist

Applying to 100 data science jobs isn’t a strategy. It’s stress.
Here are 6 steps I would follow today:

1.  Pick three companies I genuinely care about.
2.  Study their data science job postings like cheat sheets.
3.  Build a project that mirrors the problems they’re hiring for.
4.  Reach out to someone on the data or ML team.
5.  Ask thoughtful, role-specific questions.
6.  Then apply, with a referral.

✨Focused applications beat mass applying every time.

P.S. Are you applying everywhere or being intentional?
#DataSistah

♻️ Repost if this helps someone rethink how they’re job searching.
📌 Save this if mass applying hasn’t been working.

Mass applying to data science jobs isn’t a strategy.

Passionate Data Scientist and AI Strategist with a strong track record of driving data-driven insights and leveraging cutting-edge technologies to solve complex business problems.

Dynamic Financial and business analyst with 7 + years of experience using data analytics , business intelligence, and operational insights to drive revenue, improve growth, improve profitability, and support strategic decision-making. Currently completing a B.A. in Economics & Finance at Georgia State University (expected 2026), with a strong focus on applying quantitive analyst to financial and business problems.
My professional background includes financial performance analyst, forecasting,KPI development, and process optimization across entrepreneurial, consulting, and data-driven enviroments. I have supported initiatives that increased revenues by up to 60%, reduced inventory and operational cost by 25%, and improved reporting efficiency by 40% by transitioning complex datasets into actionable financial insights.
I bring a unique combination of hands-on business ownership, consulting experience, and advanced analytics capabilities, including Python,SQL, Power BI, Tableau and advanced Excel. This skill set allows me to automate reporting, analyze financial drivers, support budgeting and forecasting, and enhance decision-making at scale.
I am actively transitioning onto financial analytics, fintech, stretegy and focused business analyst roles, where I can leverage my economics and finance education alongside deep data and systems expertise to propel organizations in dynamic data-driven financial decisions.


Data Analysis & Visualization: Power BI, Tableau, SQL

Programming & Modeling: Python, R, Machine Learning

Business Intelligence & Process Optimization: KPIs, Reporting, Forecasting

Project Management & Consulting: Agile, Product Ownership

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The Battle

Tiffany Teasley

Ricardo R. Benitéz

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Tiffany Teasley's LinkedIn Performance

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