Available · Tempe, Arizona

Sruthi Keerthana
Nuttakki

Data Analyst

3+ years turning complex, messy datasets into clean dashboards, automated workflows and business insights that operations and analytics teams can actually use. SQL is my daily language. Tableau is how I tell the story.

✉ Get in Touch See My Work LinkedIn
40hrs
Monthly Time Saved
Via SQL-backed Tableau dashboard automation at INSOFE
50K+
Records Analyzed
Customer segmentation for Caddo Holdings using SQL and ML
20%
ROI Improvement
Marketing ROI gain through data-driven targeting insights
15+
KPIs Tracked
Across operational Tableau dashboards for business teams
Technical Skills

The tools I use every day to make data useful.

🗄️
SQL and Databases

Advanced querying, joins, aggregations, window functions and ETL pipeline design for operational reporting.

SQLSnowflakeDatabricksAWSAzure
📊
BI and Visualization

Building dashboards that non-technical stakeholders can read, act on and trust every single day.

TableauPower BIStreamlitPlotly
🐍
Python and Data Engineering

End to end pipelines from data ingestion and cleaning through to analysis, modeling and output.

PythonPandasNumPyPySparkETL
📈
Statistical Analysis

Segmentation, forecasting, pattern recognition and statistical modeling across large operational datasets.

RK-meansRFMXGBoostRegression
⚙️
Tools and Infrastructure

Cloud platforms, version control and deployment tools supporting production-grade analytics workflows.

DockerKubernetesGitHubSeleniumBeautifulSoup
🎓
Education and Certifications

M.S. Data Science, Analytics and Engineering, Arizona State University. Graduating December 2025.

ASUColumbia MLUpGrad INSOFE
Experience

Where I have built things that actually moved the needle.

Feb 2026 — Present
Arizona State University
Tempe, AZ
Graduate Research Assistant
  • Built automated data pipeline ingesting and scoring 146 documents across 6 subsystems from DOE and arXiv APIs, applying a weighted 5-dimension quality scoring model to classify evidence for cross-functional research teams.
  • Developed interactive HTML dashboard to visualize assessment results and evidence gaps, enabling non-technical stakeholders to interpret complex findings without domain expertise.
Oct 2021 — Apr 2023
INSOFE, UpGrad
Hyderabad, India
Machine Learning Engineer
Progression: Trainee to Intern to Full-Time Engineer
  • Developed SQL-backed Tableau dashboards visualizing 15+ KPIs, automating reporting workflows and reducing analysis time by 40 hours/month.
  • Led customer segmentation for Caddo Holdings analyzing 50,000+ records using SQL, K-means, RFM, Random Forest and XGBoost, achieving 20% improvement in marketing ROI.
  • Built Streamlit analytics platform for text classification and sentiment analysis on 10,000+ documents, enabling non-technical teams to act on data independently.
Jun 2024 — Dec 2025
Arizona State University
Tempe, AZ · Part-time
Admissions Supervisor
  • Improved data accuracy by 20% through workflow automation and compliance management.
  • Applied analytical and logical reasoning to drive process optimization and operational improvement across departments.
Projects

Work that shows how I think about data problems.

01 · Business Intelligence
ACME Strategic Optimization Dashboard
End to end analytics platform implementing 4 business optimization scenarios including maximize sales, maximize profit, sales target and profit target, with interactive Plotly visualizations and 5-year financial projections across a full corporate hierarchy.
Enabled data driven strategic planning across portfolio, geography, category, brand and segment levels for non-technical decision makers
StreamlitSQLPlotlyPythonETL
02 · Data Visualization
Adult Income Data Visualization — Census Bureau
Analyzed 30,000+ U.S. Census records across 8 attributes to identify income patterns across education, occupation, race and gender. Delivered 5 user-story driven visualizations including heatmaps, stacked bar charts and line charts for a non-technical marketing team.
Translated complex multivariate analysis into precise, actionable business recommendations for non-technical stakeholders
PythonTableauStatistical AnalysisHeatmaps
03 · Operations and Logistics
Vehicle Routing Optimization Framework
Designed an optimization framework using Column Generation to minimize fleet size while satisfying time window, capacity and logistics constraints across customer routes, directly applicable to fulfillment and inventory operations.
Reduced routing computation time by 15% and validated improvements via stochastic benchmarking for real-time dispatching
OptimizationLogisticsJuliaFleet Routing
04 · Data Pipelines
Automated Research Intelligence Pipeline
Built automated data ingestion and quality scoring pipeline processing 146 documents across 6 subsystems from DOE and arXiv APIs, applying a weighted 5-dimension scoring model with interactive dashboard output for cross-functional teams.
Significantly reduced manual document review time and enabled non-technical stakeholders to interpret findings independently
PythonETLNLPDashboardAPIs
Let's Connect

Ready to turn your data
into real decisions.

Open to data analyst roles. If you are looking for someone who can make your data work harder, let's talk.

✉ sruthikeerthana960@gmail.com 📞 (602) 730-4639 🔗 LinkedIn 💻 GitHub