I specialize in designing and optimizing scalable data architectures, AI-driven analytics, and intelligent automation to power enterprise decision-making. With expertise in big data engineering, machine learning, and cloud computing, I build high-performance data pipelines, deploy ML models, and drive AI adoption for business innovation and operational efficiency.
+2
YEAR OF EXPERIENCE
+4
PROJECT COMPLETED
Data Engineer
Designed and optimized scalable data pipelines, automated ETL workflows, and enhanced data processing efficiency using PySpark, Kafka, and Airflow. Reduced computing costs by 80%, improved real-time data availability, and facilitated seamless cloud data migration (AWS, GCP, Snowflake) to support enterprise-wide analytics.
AI & Machine Learning Engineer
Developed and deployed ML and NLP-driven solutions for predictive analytics and automation. Built AI-powered models to forecast trends, optimize workflows, and reduce operational risks. Implemented deep learning algorithms (TensorFlow, Keras) to enhance natural language understanding and intelligent automation
Data Scientist
Designed and optimized data-driven models, implemented advanced analytics, and built AI-powered business intelligence solutions. Led Claims Narrative Analysis, reducing claim rejections by 40% YoY. Improved CX metrics through AI-enhanced reporting, predictive insights, and data pipeline optimizations with Palantir Foundry and PySpark.
Data Analyst
Transformed raw data into actionable insights through interactive dashboards, real-time analytics, and BI tools (Tableau, Power BI, Excel, Matplotlib). Developed automated reporting frameworks, increasing data-driven decision-making efficiency by 30%. Identified business trends and anomalies, enabling proactive strategic adjustments.
Total
Experience
July 2022 β September 2024
- Developed and optimized large-scale data pipelines using PySpark, Airflow, and Palantir Foundry.
- Automated complex ETL workflows, improving real-time data processing and reducing manual effort by 40%.
π Data Engineer | Data Scientist | Stellantis via Tata Consultancy Services
JULY 2022 - SEPTEMBER 2024
- Assisted in designing and optimizing data pipelines, supporting data ingestion and processing workflows using PySpark and SQL.
- Developed interactive dashboards in Power BI and Tableau, enhancing data visualization and business reporting for stakeholders.
π Data Engineer Intern | Vantage-IQ Technologies
Education
AUG 2024 - MAY 2026
- Specialization: AI, Machine Learning, Big Data, NLP, Statistical Modeling
- Key Skills Gained: Advanced Data Science, Predictive Analytics, Cloud Computing
M.S. in Computer Science β Syracuse University, NY, USA
AUG 2018 - JUN 2022
- Core Subjects: Data Structures, Database Management, AI Fundamentals, Big Data
- Projects: Predictive Analytics, Scalable Data Pipelines
B.S. in Computer Science β Pune University, India
RECENT
PROJECTS

π Data Engineering Project: Data Pipeline Optimization

π€ AI & Machine Learning Project: Predictive Maintenance System

π Data Science Project: Customer Segmentation Analysis

π Data Analysis Project: Sales Performance Dashboard
RECENT
BLOGS
LET'S WORK
TOGETHER
