▌ # Gnana Tulasi Makineni - Data Scientist & BI Developer markdown cell
DATA SCIENCE PORTFOLIO · 2026 BOWLING GREEN, OH

Gnana Tulasi Makineni

pronunciation / g-nah-nuh  ·  too-luh-see  ·  muh-kih-neh-nee /

Data Scientist & BI Engineer

Turning complex data & ML models into actionable decisions.

Live Analytics Engines Predictive Healthcare ML Executive Power BI
Explore Projects Get in Touch
In [1]: portfolio.summary_metrics() # Execute for key performance highlights [0.024s]
Out[1]:
0
Years of ML &
Data Engineering
0
Projected Annual Savings
Engineered
0
Production Dashboards &
Real-Time Engines
0
Industries Served
(Mfg, Health, Ed, Fin)
▌ ## About - Forward Deployed Data Scientist markdown cell
01 ABOUT & IMPACT
Gnana Tulasi Makineni
● Forward Deployed Engineer @ Actual Reality Tech

Professional Summary

I'm a Data Scientist & BI Engineer who believes data should do something, not just sit in a report. I build systems that translate messy real-world signals into decisions that actually move the needle.

Bowling Green, OH M.S. Computer Science (BGSU) Python · PyTorch · Power BI · SQL · LLMs
▌ ## Selected Projects & Interactive Models markdown cell
02 FEATURED PROJECTS
In [3]: claim_router.simulate_savings(claims_volume=15000, rate_optimization='In-Network') [0.018s]
Out[3]:
Healthcare · Power BI · Live DAX Analytics

Healthcare Claim Routing Engine

Evaluates claim-routing strategies against historical insurance data to direct patients to high-quality, lower-cost providers.

Power BIDAX EngineM QueryCost Optimization
~$180,000 Projected Annual Savings
Live Prod Deployed & Executed
Interactive Savings Simulator Live Model
ESTIMATED ANNUAL SAVINGS
$180,000
In [4]: libbey_kpi.stream_factory_telemetry(freq='1s', alerts=True) [Streaming 60fps]
Out[4]:
Manufacturing · Real-Time Sensor Telemetry · Power BI

Manufacturing Operations KPI Stream

Executive KPI dashboard built for CFO, CIO, and plant managers to monitor real-time manufacturing yield, OEE, and furnace energy efficiency.

Power BIReal-Time TelemetryDAXEnergy Telemetry
10+ Execs Daily Stakeholders (CFO/CIO)
Real-Time Live OEE & Yield Telemetry
Real-Time Sensor Stream
LIVE DATA STREAM Yield: 98.4%
In [5]: bio_model = XGBRegressor().fit(X_nhanes, y_age); bio_model.predict(user_features) [R² = 0.89 | MAE = 2.1y]
Out[5]:
Machine Learning · XGBoost / Random Forest · NHANES Data

Biological Age Estimator ML Model

Trained on 20,000 public health survey records (NHANES). Evaluates how lifestyle habits (BMI, sleep, blood pressure) accelerate or decelerate biological aging.

PythonXGBoostRandom ForestSHAP AnalysisPandas
20,000 Training Records
R² = 0.89 Validation Accuracy
Live Biological Age ML Calculator XGBoost Model
PREDICTED BIOLOGICAL AGE
28.4 yrs
-1.6 years (Younger)
SHAP Feature Impact breakdown:
BMI
Sleep
BP
▌ ## Project Summary & Impact Matrix markdown cell
03 PROJECT SUMMARY MATRIX
In [6]: df_projects = pd.DataFrame(portfolio.get_project_matrix()); df_projects.head(5) [0.009s]
Out[6]:
# Project Name Domain Primary Stack Key Outcome Metric Deployment
0 Claim Routing Engine Healthcare Insurance Power BI, DAX, M Query ~$180K Annual Savings ● Active Production
1 Manufacturing KPI Suite Manufacturing Ops Power BI, Telemetry, DAX Real-Time OEE Tracking ● Active Production
2 Biological Age ML Public Health Analytics Python, XGBoost, SHAP R² = 0.89 Accuracy ● Research Paper
3 Plant Anomaly Alerting Manufacturing & Telemetry Python, Pandas, Alert Engine 10% Energy Cut · 20% Asset Life ● Active Production
4 Campus Ops Dashboards Higher Education BI Power BI, SQL, DAX 25% Model Speedup ● Enterprise Production
▌ ## Professional Experience markdown cell
04 CAREER TIMELINE
2026 JUL - PRESENT

Forward Deployed Engineer

Actual Reality Technologies

Partnering directly with clients like Unison Health to engineer tailored AI/ML automation tools, streamline operational workflows across HR & IT, and solve high-stakes data challenges.

2025 JAN - PRESENT

Data Scientist

Actual Reality Technologies
  • Engineered live Healthcare Claim Routing Engine surfacing ~$180K projected savings.
  • Built real-time Manufacturing KPI Dashboard adopted daily by CFO, CIO, and plant directors.
  • Deployed automated manufacturing alert system cutting energy use by 10% and boosting asset lifespan by 20%.
2023 AUG - JAN '25

Power BI Developer

BGSU Campus Operations
  • Architected & maintained 5 enterprise Power BI dashboards for campus budgeting and facilities planning.
  • Optimized DAX data models to achieve 25% faster query execution and reduced report load times.
  • Owned workspace governance, row-level security (RLS), and scheduled refresh pipelines.
2022 DEC - JUN '23

ML Research Intern

MyEdMaster
  • Trained biological age predictive models on 20,000 NHANES survey records using Random Forest & XGBoost.
  • Achieved R² = 0.89 validation accuracy and executed feature importance analysis to isolate aging biomarkers.
▌ ## Technical Skills & Stack markdown cell
05 CAPABILITIES

Programming & Data Science

Python SQL Spark Pandas NumPy JavaScript Git Excel

Machine Learning & Statistics

XGBoost & Random Forest Regression Analysis LightGBM Keras Clustering / PCA A/B Testing Cross-Validation Predictive Analytics Time-Series & Anomaly Alerts

Data Visualization & BI

Power BI Tableau Matplotlib Seaborn Plotly KPI Dashboards Data Storytelling

Big Data & Cloud Tools

Databricks Distributed Computing Cloud-based Systems Terraform
▌ ## Get In Touch markdown cell
06 CONTACT

Let's build something impactful together.

Open for Data Science, Machine Learning Engineer, and BI Developer opportunities.

EMAIL makinenitulasi02@gmail.com LINKEDIN gnana-tulasi-makineni RESUME Download PDF