🎓 UCLA Anderson MSBA | 🎓 MBA in Marketing
🔍 Senior Data Analyst/ Data Scientist | Python | Machine Learning | A/B Testing | Business Insights | Data Storytelling
I'm a data professional with 8+ years of experience turning raw data into actionable insights across industries. My background spans analytics, predictive modeling, and dashboard development to solve real-world problems.
- 🤖 Applied Data Science : Regression, classification, SHAP analysis, predictive modeling
- 🧪 Experimentation : A/B testing, hypothesis design, z-tests, Bayesian inference
- 📊 Analytics & BI : Customer segmentation, performance dashboards, KPI frameworks
- 🛠️ Tech Stack : Python (Pandas, scikit-learn, SHAP, Seaborn), SQL, Tableau, Power BI, Excel
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A/B Testing for Marketing Campaign
Simulated a 10,000-user email funnel to test subject lines and CTAs. Used z-tests and Bayesian inference to evaluate lift and confidence.
Tools: Python, Scipy, Pandas, Matplotlib -
Predictive Modeling for Income Estimation
Built linear and tree-based models on high-dimensional survey data. Used SHAP to interpret and explain key drivers.
Tools: scikit-learn, SHAP, Pandas -
Customer Risk Analysis for Lending
Explored relationships between credit scores, interest rates, and income to assess risk patterns. Delivered insights through clear visualizations.
Tools: Seaborn, Matplotlib, SQL
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Southern California Edison (SCE)
Modeled crew workload and trimming backlog as time series in Python to forecast peak load and improve resource planning.
Deployed 10+ automated Power BI dashboards to monitor trimming backlog and crew efficiency.
Cleaned and processed 150K+ records/month using SQL, reducing reporting errors by 70%. -
William Morris Endeavor (WME)
Built unsupervised clustering models on deal attributes to identify cross-segment matches, increasing qualified outreach by 35%.
Developed supervised regression models to predict client revenue; prioritized high-ROI talent, lifting qualified deals by 12%.
Cleaned and transformed 700K+ records using SQL to support segmentation, modeling pipelines, and opportunity forecasting. -
Intuit, Inc. | Ford Motor Company
At Intuit, supported global KPI alignment with Tableau dashboards analyzing 13.6M records across 16 KPIs.
At Ford, designed enterprise-level data architecture models to align technical solutions with business objectives.
Master of Science in Business Analytics (MSBA)
UCLA Anderson School of Management, Los Angeles, California
December 2021
- Focused on applying analytics in business settings, enhancing decision-making and strategy development.
- Specialized in Customer Analytics, Competitive Analytics, and Descriptive Predictive and Prescriptive Analytics.
- Leadership roles: Vice President of Career, MSBA; Vice President of Marketing, Business Analytics Association; Director of Technology, Entrepreneur Association.
Master of Business Administration (MBA)
Narsee Monjee Institute of Management Studies, Mumbai, India
April 2017
- Specialized in Statistical Analysis, Finance, Decision Modelling, Innovation Management, and Econometrics.
- Leadership roles: Editorial Head, significantly boosted digital subscription by 63% through strategic content and digital marketing.
Bachelor of Engineering, Electronics and Communication
M S Ramaiah Institute of Technology, Bangalore, India
May 2014
- Developed a strong foundation in technical principles, complementing later achievements in data analytics and business strategy.
- 🧾 Portfolio
- 🗞️ Medium Articles
- 📬 Email: pratitisoumya11@outlook.com
Feel free to reach out to me via LinkedIn/ Email or check out my work Portfolio or Medium Blog Posts!
Pratiti Soumya