About

👋 Hi, I’m Shibbir Ahmed, a Data Scientist and Machine Learning Engineer with a strong focus on Generative AI. I hold a Bachelor’s in Computer Science and a Master’s in Data Science. Together, these academic achievements provide me with a solid foundation to tackle complex challenges in AI and machine learning.

đź’ľ As a Data Scientist, I design and deploy data-driven solutions that power AI applications. My strengths include data analysis, feature engineering, and model optimization. I utilize tools such as Python, SQL, Spark, Pandas, and Scikit-learn to manage large datasets and extract meaningful insights. Additionally, I build efficient ML pipelines and apply advanced statistical methods. I ensure high data quality through rigorous integration and transformation processes, enabling accurate model predictions.

🛠️ As an ML Engineer, I specialize in large language models (LLMs), from fine-tuning existing models to building them from scratch. My expertise includes prompt engineering and model optimization techniques, such as distillation and quantization. I also have experience deploying scalable, production-ready models. Additionally, I integrate CI/CD pipelines for seamless deployment and continuous improvement, ensuring that models remain optimized and effective over time.

🚀 I am passionate about driving advancements in AI and excited to collaborate with professionals and innovators in the field. I enjoy sharing insights and exploring opportunities to create impactful, AI-driven solutions. Let’s connect and innovate together!

  • Phone: +1 914-882-6658
  • Location: New York, NY
  • Email: shibbir.ahmad.arif@gmail.com

Interests

Data Science

Machine Learning

Bioinformatics

Natural Language Processing

Deep Learning

Generative AI

Visualization

Algorithms

Education

Master's in Data Science

August 2023 - Present
Relevant Coursework
  • Neural Networks and Deep Learning
  • Natural Language Processing
  • Machine Learning
  • Artificial Intelligence
  • Statistics

Bachelor's in Computer Science and Engineering

Jan 2017 - Mar 2021
Relevant Coursework
  • Artificial Intelligence
  • Machine Learning
  • Data Structure
  • Computer Algorithms

Certifications

Career Essentials in Generative AI by Microsoft

Large Language Models: Text Classification for NLP using BERT

Building a Personalized Chatbot with OpenAI and LangChain

Human Research – Data or Specimens Only Research

Data Science Summer School at Hertie DS Lab Germany

AWS Academy Cloud Foundations

Experience

Data Science Track Lead

R2 Institute of Data Science and IT

May 2024 – Present

  • Predicted trends for the 2024 U.S. Presidential Election, demonstrating accurate projections by developing efficient time series models with LSTM and Facebook Prophet.
  • Achieved 86.90% accuracy and 86.91% precision in analyzing election-related tweet sentiment, validated through performance metrics, by building a hybrid deep learning model (MLP + CNN).
  • Aligned predictive modeling and NLP solutions with business objectives, driving innovation and delivering value by collaborating with stakeholders to meet strategic goals.

Generative AI Researcher

Montclair University Data Science Lab

Mar 2024 - Present

  • Improved patient screening for clinical trials, measured by a 20% increase in identifying eligible participants, by developing innovative NLP solutions on the MIMIC-IV dataset.
  • Enhanced AI-driven eligibility comparisons across patient populations, achieving significant improvements in parsing complex clinical criteria, by engineering the Llama 3.2 LLM.
  • Optimized storage for AI applications, improving retrieval speed and scalability for patient records, by building and maintaining a FAISS vector database.

Data Science Intern

Community Food Bank of New Jersey

Jun 2024 – Jan 2025

  • Uncovered food distribution trends, resulting in a 20% improvement in resource allocation and decision-making efficiency, by analyzing structured and unstructured datasets.
  • Drove actionable insights for customer segmentation and strategic resource allocation, achieving enhanced decision-making, by designing and deploying interactive Power BI dashboards to visualize key metrics.
  • Improved operational efficiency and facilitated the equitable distribution of a $4 million grant, leading to a 25% boost in efficiency, by collaborating with a cross-functional team to implement innovative, data-driven strategies.

Data Science Analyst

WorkTropper

Aug 2021 – Jul 2023

  • Elevated data accuracy and integrity, driving a 25% improvement in data reliability, by refining ETL pipelines for extracting, transforming, and loading data from relational databases and APIs.
  • Boosted cross-functional collaboration, resulting in faster decision-making and enhanced team synergy, by developing and implementing 40+ interactive Tableau dashboards to visualize key data trends.
  • Aligned customer behavior insights with business strategy, optimizing decision-making by 15%, through the development of advanced SQL queries and in-depth analysis to reveal actionable trends.

Projects

  • All
  • Data Science
  • NLP
  • Database

End-to-End Medical Chatbot with LLM and Pinecone Integration

EdTech Question Answering System with LLM and LangChain

Melanoma Skin Cancer Detection using CNN

SumBERT: AI-Powered Text Summarization Web App

Customer Sales Analysis Dashboard with Tableau

Smart Tax Payment Tracking System

Water Potability Prediction Using Hybrid Machine Learning Techniques

Amazon Product Sales Data Analysis: Trends and Insights

Comprehensive Market Analysis of US Fast Food Restaurants

Skills

Languages & Databases

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Libraries & Frameworks

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Cloud Tools

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Big Data, ETL & APIs

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Tools

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Blog

Contact

Address

East 48 Street

Brooklyn, NY 11203

Social Profiles

Email

shibbir.ahmad.arif@gmail.com

shibbir282@gmail.com

Contact

+1 914-882-6658