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Deepak N. Email & Phone Number
Data Scientist and AI-ML Engineer
at
Fannie Mae
LinkedIn matched
✓ Verified Jun 2026
3 data sources
Profile completeness 86%
Current company
Role
Data Scientist and AI-ML Engineer
Location
United States, United States, United States
Company size
Who is Deepak N.? Overview
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Quick answer
Deepak N. is listed as Data Scientist and AI-ML Engineer at Fannie Mae, a company with 11151 employees, based in United States, United States, United States. AeroLeads shows a matched LinkedIn profile for Deepak N..
Deepak N. previously worked as Senior Data Scientist at Qbe Insurance and Data Scientist at Marex. Deepak N. holds Master Of Science - Ms, Applied Data Science from San Jose State University.
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Fannie Mae
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Profile bio
About Deepak N.
As a seasoned Senior Data Scientist with over 8 years of experience, I specialize in Machine Learning, Generative AI, and Natural Language Processing (NLP). My expertise lies in fine-tuning large language models (LLMs) using advanced techniques such as QLoRA, LoRA, and Retrieval-Augmented Generation (RAG) to deliver high-performance AI/ML solutions across various domains.In my current role, I design and implement data-driven models that leverage LLMs for real-world applications, enhancing user experience and operational efficiency. I have hands-on experience with deploying models using Hugging Face and orchestrating AI workflows with LangChain and LlamaIndex. My work also involves creating unsupervised learning models that have led to significant improvements in customer segmentation and targeted marketing.Additionally, I build and scale data pipelines within AWS and Azure environments, utilizing technologies such as Spark, Kafka, and Snowflake for high-velocity data processing. My focus on integrating RAG systems and vector databases like FAISS and Pinecone enhances semantic search capabilities for AI-driven projects in finance, insurance, and IoT.I am passionate about transforming industries with Generative AI and optimizing data workflows through effective Data Engineering practices. My skill set also includes building interactive dashboards using Power BI and Tableau, allowing for actionable insights and data-driven decision-making. My experience spans the full data lifecycle, from engineering to analysis, ensuring scalable and efficient solutions.Top Skills:Data Science & ML: Generative AI, LLMs, Fine-Tuning (QLoRA, LoRA), RAG SystemsNLP: Text Classification, Sentiment Analysis, NLP PipelinesBig Data & Data Engineering: Spark, Kafka, Snowflake, ETL ProcessesCloud Technologies: Azure (Data Factory, Databricks), AWS (S3, Lambda, Glue)Programming Languages: Python, SQL, PySparkData Analysis: Power BI, Tableau, Data Visualization
Current workplace
Deepak N.'s current company
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Fannie Mae
7 roles
Deepak N. work experience
A career timeline built from the work history available for this profile.
Senior Data Scientist
Current* Developed and deployed advanced predictive models using LLMs, significantly reducing insurance claims processing time by 30%.* Conducted A/B testing and statistical hypothesis testing to optimize customer experience strategies, yielding a 20% increase in engagement rates.* Built Retrieval-Augmented Generation (RAG) systems with FAISS and Pinecone.
May 2024 - Present
Data Scientist
* Developed high-frequency trading models on Azure to optimize trade execution and enhance market analysis for financial analysts.* Constructed NLP solutions with Spacy and Transformers for document classification, achieving a 95% categorization accuracy.* Managed big data workflows using Azure Data Lake and Snowflake for streamlined data storage and.
Oct 2023 - Apr 2024
Machine Learning Engineer
* Built and managed ML pipelines on Azure Databricks for high-volume data, improving model accuracy in NLP applications.* Designed deep learning models (CNNs, RNNs) for sentiment analysis, achieving an F1 score of 0.92.* Deployed IoT anomaly detection models using AWS EC2 and Lambda, reducing operational anomalies by 40%.* Built data pipelines with AWS.
Feb 2023 - Sep 2023
Data Science Researcher
* Conducted audience segmentation and predictive analytics for marketing, boosting engagement rates by 15%.* Developed ML models for customer propensity scoring and churn prediction, improving retention by 18%.* Created Tableau and Power BI dashboards for visualizing campaign performance and enabling real-time monitoring.* Developed ETL workflows with.
Jul 2022 - Jan 2023
Bigdata Engineer
Merlin Softech & Telecom Private Limited
* Built and optimized Kafka-based streaming solutions for real-time data ingestion into Spark Streaming.* Implemented data quality checks in Spark Streaming, identifying and flagging data anomalies in real-time.* Developed and optimized business logic for streaming applications using Kafka and Spark, processing high-volume datasets.* Automated.
Jan 2019 - Dec 2021
Data Analyst
* Managed and analyzed large datasets related to aircraft stress, load, and strain data, ensuring compliance with safety regulations.* Conducted detailed exploratory data analysis (EDA) on manufacturing defects, optimizing processes based on identified patterns.* Developed stress concession reports, using tools like Patran and Nastran to visualize strain.
Oct 2015 - Dec 2018
Team & coworkers
Colleagues at Fannie Mae
Other employees you can reach at qbe.com. View company contacts for 11151 employees →
AS
Aileenme Sunga
Colleague at Fannie MaeMetro Manila, National Capital Region, Philippines, Philippines
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LH
Lianne Hemingway
Colleague at Fannie MaeUnited Kingdom, United Kingdom
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RH
Reed Heaney Cert Cii
Colleague at Fannie MaeEasthorpe, England, United Kingdom, United Kingdom
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HR
Hazwani Ramli
Colleague at Fannie MaePutrajaya, Putrajaya Federal Territory, Malaysia, Malaysia
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KT
Kate Twiddle
Colleague at Fannie MaeYork, England, United Kingdom, United Kingdom
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KM
Kerry Morris
Colleague at Fannie MaeGreater Newcastle Area, Australia
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AR
Andrew Rowlands
Colleague at Fannie MaeGreater Sydney Area, Australia
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MA
Meghan Aldred
Colleague at Fannie MaeGreater Sydney Area, Australia
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AB
Alexander Bernal Jr.
Colleague at Fannie MaeMetro Manila, National Capital Region, Philippines, Philippines
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JP
Jarrod Paul
Colleague at Fannie MaeBrisbane, Queensland, Australia, Australia
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Aileenme Sunga
Colleague at Fannie MaeMetro Manila, National Capital Region, Philippines, Philippines
View →
LH
Lianne Hemingway
Colleague at Fannie MaeUnited Kingdom, United Kingdom
View →
RH
Reed Heaney Cert Cii
Colleague at Fannie MaeEasthorpe, England, United Kingdom, United Kingdom
View →
HR
Hazwani Ramli
Colleague at Fannie MaePutrajaya, Putrajaya Federal Territory, Malaysia, Malaysia
View →
KT
Kate Twiddle
Colleague at Fannie MaeYork, England, United Kingdom, United Kingdom
View →
KM
Kerry Morris
Colleague at Fannie MaeGreater Newcastle Area, Australia
View →
AR
Andrew Rowlands
Colleague at Fannie MaeGreater Sydney Area, Australia
View →
MA
Meghan Aldred
Colleague at Fannie MaeGreater Sydney Area, Australia
View →
AB
Alexander Bernal Jr.
Colleague at Fannie MaeMetro Manila, National Capital Region, Philippines, Philippines
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JP
Jarrod Paul
Colleague at Fannie MaeBrisbane, Queensland, Australia, Australia
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2 education records
Deepak N. education
Master Of Science - Ms, Applied Data Science
Bachelor Of Engineering - Be
FAQ
Frequently asked questions about Deepak N.
Quick answers generated from the profile data available on this page.
What company does Deepak N. work for?
Deepak N. works for Fannie Mae.
What is Deepak N.'s role at Fannie Mae?
Deepak N. is listed as Data Scientist and AI-ML Engineer at Fannie Mae.
Where is Deepak N. based?
Deepak N. is based in United States, United States, United States while working with Fannie Mae.
What companies has Deepak N. worked for?
Deepak N. has worked for Fannie Mae, Qbe Insurance, Marex, Turning Point, and San Jose State University.
Who are Deepak N.'s colleagues at Fannie Mae?
Deepak N.'s colleagues at Fannie Mae include Aileenme Sunga, Lianne Hemingway, Reed Heaney Cert Cii, Hazwani Ramli, and Kate Twiddle.
How can I contact Deepak N.?
You can use AeroLeads to view verified contact signals for Deepak N. at Fannie Mae, including work email, phone, and LinkedIn data when available.
What schools did Deepak N. attend?
Deepak N. holds Master Of Science - Ms, Applied Data Science from San Jose State University.
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