Hello, I'm
Kranthi
Vanukuru
Data Scientist | ML Engineer
I turn data into insights and build intelligent models that drive real-world impact using AI, cloud, and scalable data engineering.
10M+
Records Processed
25+
Dashboards Built
15+
End-to-End Projects
30%
Cost Optimization
About Me
Curious mind.
Data driven.
I’m a Data Scientist with a strong foundation in statistics, machine learning, and data engineering. I enjoy solving complex problems, uncovering patterns, and building data-driven solutions that create real business value.
2+
Years Experience
AWS / GCP
Cloud & ML Engineering
PySpark
Big Data Processing
AI/ML
Predictive Analytics
My Tech Stack
Tools & Technologies
I Work With
Languages
Python
SQL
R
Data Science / ML
Pandas
TensorFlow
Scikit
PyTorch
XGBoost
Jupyter
Data Engineering
PySpark
Kafka
Airflow
Iceberg
Hive
ETL
AWS / Cloud
S3
SageMaker
Athena
Lambda
CloudWatch
Step Functions
Visualization / BI
Tableau
Power BI
Plotly
Excel
Seaborn
Matplotlib
Featured Projects
Selected Work
FEPDO Reconciliation Automation
Automated FEP data reconciliation using PySpark, Glue, and Athena. Reduced processing time and improved data accuracy.
Iceberg Optimization Pipeline
Optimized Iceberg tables with partitioning and compaction strategies for faster analytics queries.
Step Function Monitoring Dashboard
Built monitoring dashboards for AWS Step Functions using CloudWatch, Athena, and reporting tables.
Lightbeam Data Pipelines
Developed scalable eligibility and patient attribute pipelines for healthcare analytics and reporting.
Professional Experience
Career Journey
DRDO
Software Engineer Intern
Worked on software development and automation initiatives, contributing to research-oriented engineering workflows and backend system enhancements.
National Exchange Carrier Association
Data Engineer
Built scalable ETL pipelines, optimized data workflows, and supported cloud-based analytics initiatives using big data technologies and AWS services.
BlueCross BlueShield
Data Scientist
Leading cloud-native analytics and machine learning initiatives, building scalable healthcare data pipelines, reconciliation systems, and intelligent reporting solutions.
Certifications & Achievements
Continuous Learning
AWS Cloud
Expertise in building scalable cloud-native analytics and ETL solutions using AWS services.
Machine Learning
Applied ML concepts for predictive analytics, intelligent automation, and data-driven insights.
Data Engineering
Built scalable big data pipelines using PySpark, Kafka, AWS Glue, Athena, and Iceberg.
Master’s in AI
Executive Master’s in Artificial Intelligence focused on applied AI, ethics, and real-world systems.