Hi, I am

Bhargav
Peddi

Data Scientist · Machine Learning · Data Analytics

I'm a data scientist and analyst with 4+ years of experience in healthcare analytics, machine learning, and business intelligence.

Across UnitedHealthcare, NJIT, and Optum, I've built predictive models and dashboards that help teams turn complex data into clear decisions.

500K+ records analyzed20+ KPIs tracked12% better targeting

I build data pipelines, dashboards, and models for healthcare and operations teams.

Tech Stack

(hint: press a key)

Experience

Where I've worked.

Data Scientist / AI-ML Analyst

UnitedHealthcare · Remote

Jan 2026 - Present

Analyzed 500K+ member engagement records with SQL and Python, informing outreach across three regional campaigns.
Built Scikit-learn models for engagement and appointment adherence, improving retention-targeting accuracy by 12%.
Delivered 6+ Power BI dashboards and automated reporting workflows, cutting manual reporting time by 40%.
Improved recurring reporting accuracy by 20% through data cleaning, preprocessing, and validation.
Partnered with 8+ analysts and business stakeholders to turn model outputs into engagement strategies.

Python

SQL

Scikit-learn

Power BI

Healthcare Analytics

Operations Data Analyst

NJIT · Newark, NJ (On Campus)

Dec 2025 - Present

Wrote advanced SQL queries across 1M+ operational records, improving extraction efficiency by 30%.
Built Python and Pandas ETL pipelines across SQL, Excel, and CSV data, cutting manual preparation by 40% and improving accuracy by 25%.
Created Power BI dashboards with DAX and Power Query for 20+ KPIs, reducing recurring reporting time by 35%.
Built forecasting models in Python and Scikit-learn for demand and resource planning, achieving 85%+ predictive accuracy.
Automated quality checks, saving 30+ hours of manual work monthly and improving reporting turnaround by 45%.

SQL

Python

Pandas

ETL Pipelines

Power BI

Scikit-learn

Data Scientist

Optum · Hyderabad, India

Aug 2023 - Dec 2024

Built Python and Scikit-learn models to identify utilization patterns and support predictive healthcare analytics.
Engineered features and preprocessing pipelines for missing values, outliers, and categorical healthcare data.
Developed classification and regression models to forecast healthcare demand and resource requirements.
Improved model generalization through cross-validation, hyperparameter tuning, and structured evaluation.

Python

Scikit-learn

Pandas

Healthcare Analytics

Data Analyst

Optum · Hyderabad, India

Aug 2022 - Jul 2023

Cleaned, transformed, and validated large healthcare datasets with SQL and Python to improve reporting reliability.
Used exploratory and statistical analysis to surface patient-utilization and operational trends.
Built Power BI dashboards and automated reporting workflows for KPI monitoring.
Prepared analytics-ready datasets with standardized SQL queries, joins, and CTEs.
Reconciled reporting discrepancies to strengthen stakeholder confidence in business metrics.

SQL

Python

Power BI

Healthcare Analytics

Projects

Code, tests, and results for each project.

The healthcare and customer data from my jobs is confidential, so the churn model uses the public IBM Telco dataset and the healthcare and pipeline projects use generated data. Every number shown comes from running the code in the linked repo.

Read on Medium

Certifications

Verified learning across AI, analytics, databases, and automation.

View credentials on LinkedIn

Community & innovation

Beyond the data.

Campus roles, teaching, and startup programs outside my day job.

Bhargav volunteering with NJIT Career Services, wearing his red volunteer shirt

Campus volunteering

NJIT · CDS

Giving back on campus

I volunteer with NJIT Career Development Services (CDS).

NJIT Pre-College Programs · On campus

CSE Teaching Assistant

May to August 2026 · Summer program

Teaching assistant for the Python with Machine Learning course in NJIT's Pre-College Programs.

Python
Machine Learning

Lehigh NSF I-Corps

Entrepreneurship · Technical leadership

From customer insight
to a technical concept.

Shortlisted for the NSF I-Corps Hub Northeast Region's Lehigh Propelus Program.
Completed the program, earned a certificate, and received a stipend.
Served as our team's technical lead for APM, a hyperlocal, 10-minute grocery delivery concept.
Focused on data pipelines, APIs, and data modeling to support routing and inventory.
Explored customer discovery and business ecosystem mapping to connect the technical concept with market needs.

$1,500

NSF I-Corps grant awarded to our team

Read my LinkedIn post

Additional program selection

Ascendus Program

Selected for the Ascendus Program.

Shortlisted & selected

Group photo from the NJIT NSF I-Corps program, shared in Bhargav's completion post — NJIT NSF I-Corps · Participants and program community

NJIT · Customer discovery

Better ideas start with listening.

Completed the NSF I-Corps Hub Northeast Regional Program and earned a certificate of completion.
Worked as the technical and entrepreneurial lead for the APM delivery concept.
Conducted 23 customer interviews to understand needs and gather feedback.
Used customer insights to refine the value proposition and shape the business model.
Connected customer discovery with the delivery concept's focus on speed, reliability, and user experience.

View the group photo & story

LET'S WORK
TOGETHER

Contact Form

Please contact me directly at bhargavpeddi25(at)gmail.com or drop your info here.

Bhargav
Peddi

Tech Stack