
Nitin Phuke
@nitinphuke
Senior Data Scientist at Yassir building dynamic pricing and dispatch optimization for ride-hailing.
What I'm looking for
At Yassir, I design dynamic surge pricing models using geohash-level analysis and develop dispatch optimization algorithms to balance wait times and operational efficiency. I also integrate machine learning into pricing and dispatch strategies and work on agentic RAG use cases.
At Carelon Global Solutions, I worked on generative AI projects for natural-language-to-SQL/Python generation, medical-record review, and competitor policy analysis. I also contributed to healthcare provider network optimization and fraud, abuse, and waste identification.
At TCS Research Lab, I worked on matching theory, resource allocation, privacy, and optimization problems. That research contributed to a granted US patent, a journal paper, a white paper, and conference papers.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
Yassir
Jan 2024 - Present (2 years 9 months)
Designed and implemented dynamic surge pricing models using geohash-level analysis. Developed dispatch optimization algorithms using CPLEX, Gurobi, PuLP, and Pyomo, balancing wait times and operational efficiency.
Senior Data Scientist
Carelon Global Solutions
Nov 2021 - Jan 2024 (2 years 2 months)
Worked on Large Language Model and Generative AI projects including query generation, medical record review, and competitor policy analysis. Developed fraud detection using statistical engine on claims data and migrated on-premise models to AWS.
Quant Senior Consultant
Northern Trust Corp
Feb 2021 - Nov 2021 (9 months)
Worked in digital investment advice team for product Emotomy, focusing on research, design, and development of investment strategies. Performed model validation of investment strategies implemented with algorithms considering rebalancing, overlay strategies, and stoploss.
Research Scientist
TCS Research Lab
Jan 2012 - Jan 2021 (9 years)
Worked on matching theory problems, algorithm design for NP-hard optimization, and HR analytics. Contributed to data privacy, facility location, network optimization, scheduling, and inventory optimization, with patents and publications.
Software Engineer
PNC Bank
Worked on end-to-end project of cheque printing module and migration of XSLT rendering engine. Developed XSLT templates for different letters and coordinated with clients for QA, UAT, and production environment setup.
Software Engineer
Morgan Stanley
Worked on JAWS application for wealth management, including enhancement and development. Handled full stack development, client communication, and production environment, with SQL and SSIS for report generation.
Education
Degrees, certifications, and relevant coursework
College of Engineering Pune
M-Tech, Computer Engineering
2015 - 2017
Grade: First Class with distinction (8.68 CGPA)
Pursued M-Tech in Computer Engineering, achieving First Class with distinction (8.68 CGPA).
Government College of Engineering
B.E., Computer Science and Engineering
2008 - 2012
Grade: First Class with distinction (7.971 CGPA)
Completed B.E. in Computer Science and Engineering with First Class and distinction (7.971 CGPA).
S.B College of Science
10+2, Science
2006 - 2008
Grade: First Class with distinction (79.33%)
Completed 10+2 with First Class and distinction (79.33%).
Tech stack
Software and tools used professionally
Snowflake
Tableau
Google Cloud Platform
Amazon S3
Bitbucket
Kubernetes
NumPy
Pandas
Anaconda
PySpark
MongoDB
Hadoop
HBase
Terraform
PyCharm
Eclipse
Jira
Python
Java
PHP
C#
C++
Rust
TensorFlow
PyTorch
scikit-learn
Kubeflow
Streamlit
Kafka
Datadog
Confluence
AWS Lambda
Git
Docker
Airflow
SQL
Amazon SageMaker
ServiceNow
LangChain
LlamaIndex
Gurobi
Power BI
Looker Studio
XSLT
AWS
Availability
Location
Authorized to work in
Salary expectations
Job categories
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