About Me
Get to know more about my background and expertise
# About Narayani Patil
class DataEngineer:
def __init__(self):
self.name = "Narayani Patil"
self.role = "Data Engineer & ML Enthusiast"
self.location = "Boston, MA"
self.education = ["MS Computer Engineering", "BE Information Technology"]
self.skills = ["Python", "SQL", "Big Data", "ML/AI", "Cloud"]
def transform_data(self, raw_data):
return meaningful_insights # Magic happens here!I'm a passionate Data Engineer and Computer Engineering graduate student at Northeastern University with expertise in designing and implementing data pipelines, ETL processes, and analytics solutions.
With professional experience at Natixis Investment Managers and Deloitte, I've developed skills in Python, SQL, big data technologies, and machine learning. I'm currently working as a Teaching Assistant for Machine Learning Operations at Northeastern University.
Education
Northeastern University, Boston, USA
Master of Science in Computer Engineering
Expected Aug 2025
University of Mumbai, Mumbai, India
Bachelor of Engineering in Information Technology
Aug 2017 – Jul 2021
Professional Experience
My journey in the field of data engineering and analytics
- Working on a RAG based chatbot leveraging LangChain, LLMs, vector databases, airflow and model pipelines.
- Assisting 200+ students in understanding MLOps concepts, model versioning/deployment and operationalization.
- Developed and productionalized 5+ end-to-end distributed data pipelines from sales, marketing, and product datasets stored in PostgreSQL, enabling leadership to make data-driven decisions through Tableau dashboards.
- Optimized the performance of existing pipelines, by migrating them to DBT enhancing processing speed by 30%.
- Executed statistical techniques to scale a dataset containing millions of records to identify data trends & patterns.
- Built Python wrappers and scripts to automate management of multiple project dependencies & Git repositories.
- Developed pipeline, extracting user and project data from 300+ Dataiku projects across diverse Dataiku servers.
- Improved data-driven decisions by 30% by analyzing user data using time-series model and PowerBI reports.
- Modeled clinical trial healthcare datasets, generating critical insights that directly shaped client decision-making.
- Led a team to restructure cluster storage, improving system efficiency by 40%.
- Awarded SPOT Award for productionalizing 10+ Dataiku pipelines, ensuring accuracy and minimal downtime.
Technical Projects
Here are some of the projects I've worked on as a Data Engineer
Technical Skills
My expertise across various technologies and domains
Programming & Databases
Python
Java
SQL
R
C
Scala
Golang
C++
Paper Publications
My research contributions to the academic community