Mohan Venkata Pavan Sai Teja KattiboyinaGet in touch
MK

Hello, I'm

Mohan Venkata Pavan Sai Teja Kattiboyina

Advancing Healthcare Through Optimization & Data Science

Healthcare Research Collaborator | Optimization & ML

I develop ILP/MIP optimization models for healthcare scheduling, codify clinical policies into reproducible constraints, and apply machine learning to broader research problems with measurable impact.

Seeking full-time healthcare research roles

Research Assistant · Health Informatics · Health OR · Clinical Analytics

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About

About Me

Healthcare-focused research collaborator bridging optimization, ML, and clinical operations.

Healthcare Research Collaborator

I'm a research-driven analyst applying quantitative methods to healthcare operations and scheduling. I currently collaborate with a university faculty member on a healthcare scheduling optimization study, codifying clinical policies into ILP/MIP constraint families and contributing toward publication.

My broader work spans applied ML, simulation, and OR — from RL control to large-scale BI systems — brought back to healthcare problems where rigor, fairness, and reproducibility matter most.

Health InformaticsHealthcare ORClinical AnalyticsHealth AI
Education

MS, Business Analytics & AI

The University of Texas at Dallas

Expected May 2027 • GPA 3.7/4.0

  • Coursework: ML, Big Data Analytics, Statistical Modeling.
  • Research collaboration on optimization and scheduling.

B.Tech, Electronics & Communication

IIIT Nagpur

Graduated 2022

  • Walking-robot RL simulation in MATLAB/Simulink — 95% accuracy.
  • Foundations in programming, signal processing, mathematical modeling.

13+

Modeling Assumptions

Codified for healthcare scheduling

5

Constraint Families

ILP/MIP models for publication

20+

Papers Synthesized

Literature review depth

95%

RL Model Accuracy

Walking robot, 5,000+ iterations

40%

Simulation Speedup

Automated DL pipeline

20%

Capacity Optimization

Peak-hour metro operations

98%

Data Alignment

Weather-flight pipeline

30%

Faster Reporting

BI dashboard automation

Toolbox

Technical Skills

A breadth of tools across analytics, ML, and operations research.

Python

Expert

Data analysis, ML, automation

Python Data Analysis for Healthcare

SQL

Expert

Schema design, complex queries

MySQL Data Analysis

Machine Learning

Advanced

Predictive models, classification

Tableau

Advanced

Visualization, storytelling

Google Analytics Certification

ETL Pipelines

Proficient

Integration, automation

Excel

Advanced

Pivots, macros, modeling

Excel for Business Analysts

R

Proficient

Statistical analysis, viz

Intermediate R

MATLAB

Proficient

Numerical computing

C++

Proficient

Algorithms, data structures

Streamlit

Proficient

ML/data web apps

Stata

Proficient

Econometrics, health data

Credentials

Certifications

Foundational training supporting work in healthcare analytics, clinical data, and operations research.

View Certificate

Python Data Analysis for Healthcare

LinkedIn Learning

2025 · Certificate of Completion

Python
Certificate

Google Analytics Certification

Google

2026 · Self-paced

Analytics
Certificate

Excel for Business Analysts

LinkedIn Learning

2025 · 2h 41m

Excel
Certificate

MySQL Data Analysis

LinkedIn Learning

2025 · 4h 30m

SQL
Certificate

Intermediate R

DataCamp

2024 · 6 hours

R

Work

Research & Featured Projects

Healthcare scheduling research alongside broader ML and optimization work.

Healthcare Scheduling Optimization (Research)

Faculty-led research translating clinical scheduling policies into ILP/MIP models with cost, coverage, and fairness KPIs.

  • 13+ modeling assumptions codified
  • 5 ILP/MIP constraint families
  • 20+ papers synthesized
  • ~30% faster alignment cycles
ILP/MIPOperations ResearchPythonHealthcare Analytics
CodeDetails

AI Nutrition Companion

Streamlit AI assistant guiding healthier restaurant meal choices using profile, intake, and menu data.

  • 10+ restaurant categories
  • 20+ menu items scored
  • 3-tier classification engine
  • Deployed on Streamlit Cloud
PythonStreamlitPandasDigital Health
CodeDetails

Brain Tumor Detection

Healthcare AI applying preprocessing and segmentation to identify tumor regions in medical imaging.

  • Segmentation workflow
  • Preprocessing for scan consistency
  • Healthcare AI experience
  • Foundation for publication
PythonImage SegmentationMedical ImagingCV
CodeDetails

Walking Robot via Reinforcement Learning

MATLAB & Simulink simulation using RL to optimize locomotion control across trajectories.

  • 95% accuracy after 5,000+ iters
  • 40% simulation speedup
  • 4 trajectories mastered
  • Optimized control systems
MATLABSimulinkRLDeep Learning
CodeDetails

Metro Operations Optimization

Data-driven optimization for metro operations across 200+ stops using Python analytics.

  • 20% peak-hour capacity boost
  • 10% off-peak trip reduction
  • 15% wait-time reduction
  • 10% efficiency gain
PythonPandasNumPyOptimization
CodeDetails

Flight Weather Delay Analysis

Integrated 240+ weather station feeds with 500K+ flight records to model delay drivers.

  • 98% date-station alignment
  • +7.5 min delay under heavy rain
  • 22% winter delay spikes
  • Top-10 reliable airports
PythonPandasSeabornStatistics
CodeDetails

Movie Retail Analytics (SQL)

BI project analyzing rental operations to optimize inventory, segmentation, and revenue.

  • 16+ tables joined
  • 10+ store locations
  • Top-value customer ID
  • +12% repeat retention
SQLMySQLBIData Analysis
CodeDetails

SBA Loan Default Prediction

XGBoost classifier with feature engineering and SHAP, deployed via Gradio on Hugging Face.

  • AUCPR 0.472 on imbalanced data
  • Real-time scoring
  • SHAP transparency
  • Reusable pipeline
PythonXGBoostGradioSHAP
CodeDetails

BI Dashboards @ Samsung SDS

Real-time dashboards connecting 16+ sources, processing 1M+ records daily.

  • 30% faster reporting
  • 40% better accessibility
  • 80% KPI accuracy boost
  • Automated ETL
QlikViewPower BISQLETL
CodeDetails
View More on GitHub

Journey

Experience

Professional and research milestones.

Research Collaborator

·University Research Project·Oct 2025 — Present
  • Codified 13+ modeling assumptions and an evaluation plan (cost/coverage/fairness KPIs).
  • Built defensible public-data acquisition workflow with 95%+ variable-dictionary completeness.
  • Translated 16 policy items into 5 ILP/MIP constraint families; synthesized 20+ papers.
OptimizationMathematical ModelingResearch

Business Intelligence Developer

·Samsung SDS·Jul 2022 — Nov 2023
  • Integrated 16+ data sources into unified real-time dashboards (+30% reporting efficiency).
  • Designed ETL pipelines processing 1M+ records daily with 99.5% accuracy.
  • Led migration to QlikView platform: 80% accuracy boost, 40% better accessibility.
  • Automated workflows in Python/SQL, cutting manual effort by 50%.
QlikViewSQLETLPython

Engineer Intern

·Samsung SDS·Feb 2022 — Jun 2022
  • Earned full-time offer through top performance in technical assessments.
  • Solved 100+ DSA problems, +40% problem-solving speed (top 54% of cohort).
  • Collaborated with senior engineers on code reviews and scalable data systems.
PythonAlgorithmsProblem Solving

Contact

Get In Touch

Open to full-time Healthcare Research and Biostatistician roles in healthcare scheduling, informatics, and clinical analytics.

MK

Mohan Venkata Pavan Sai Teja Kattiboyina

MS Business Analytics & AI · Healthcare Research

Email

you@example.com

Location

Dallas, TX

LinkedIn

/in/yourhandle

GitHub

/yourhandle

Available for full-time Healthcare Research or Biostatistician roles

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