Vijay yadav
Services provided: Microsoft Power BI , Data Science Designers , Power BI , Data Engineering , Data science , Spatial Data Scientists , Data Analytics , SQL , Data Science & Analytics , Data Scientists , Machine Learning , Tableau software , Healthcare Data Scientists , Big Data , MS SQL Developers , Data Science Product Managers
About Vijay yadav:
- Experienced Data Engineer with strong foundation in Distributed Computing, Data Modeling, Data Quality practice.
- Results driven professional with 7+ years of expertise in Python, NoSQL, SQL, Multi Cloud platforms (AWS, Google Cloud)
- Proficient in Real-time streaming applications, NoSQL Implementations, Data Warehousing, and Agile Practices.
- Adept at Data pipeline optimizing techniques, communicating data-driven insights and drive business success initiatives.
- Strong verbal and written communication skills, enabling effective collaboration with cross-functional teams.
Experience
Senior Data Engineer, Allianz Life April 2018 – Dec 2021
Tech Stack: Python, PySpark, Scikit-learn, SQL, Mage, AWS Cloud
• Crafted a scalable Recommendation System data pipeline using Python Scripting, AWS components (S3, EMR, Glue,
Redshift), and advanced data visualization tools like Tableau and PowerBI for insightful data analysis and recommendations.
• Designed claims automation system to seamlessly handle large volumes of daily and weekly data, supporting multiple teams
like fraud preventions, underwriters, marketing, and agency team enabling them with custom DataMart.
• Managed & orchestrated data pipelines for real time marketing campaign, utilizing Apache Airflow, Kafka, and SQL procedures.
• Developed a fraud detection model using Random Forest for the Claims team, saving the company potential financial losses
by identifying and preventing fraudulent claims worth $1.5 million in a single quarter.
• Trained 36 associates on Data Engineering core concepts with hands-on programming using Python, SQL, and Airflow to
provide technical guidance to junior team members, fostering their professional growth & ensuring high-quality deliverables.
Machine Learning Engineer, Tata Consultancy Services July 2015 – March 2019
Tech Stack: Python, Airflow, Splunk, Ansible, Linux
• Developed robust automation scripts for model deployment using Docker & Kubernetes, monitoring and maintenance, reducing
deployment time by 70% and ensuring continuous model performance tracking.
• Conducted POC’s for multiple client site, improving performance tuning and optimization of existing machine learning models,
achieving a 5% improvement in accuracy, and reducing resource consumption.
• Implemented named entity recognition (NER) models using spaCy and BiLSTM-CRF (Bidirectional LSTM with C
Education
Masters in Data Analytics - Clark university
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