Mohammed Abdul Najeeb Farooqui @ ETHDenver 2024

Welcome to my journey into ETHDenver 2024! As a seasoned Senior Data Scientist with a robust background in leveraging data for impactful solutions, I'm thrilled to explore the blockchain domain's possibilities. Here's a glimpse into my expertise and the projects that have defined my career thus far.

About Me

With over five years of experience in data science across various sectors, I've developed a keen ability to solve complex problems using data-driven insights. My technical toolkit includes Python, R, SQL, PySpark, and Swift, complemented by deep learning frameworks and cloud technologies like AWS, Azure, and GCP. I hold a Master's degree in Industrial Engineering with a minor in Data Science from Clemson University and a Bachelor's degree in Mechanical Engineering from Vasavi College of Engineering.

Professional Highlights

Unique Computing, Alexandria, VA, USA

Senior Data Scientist, August 2022 – Present

• United Health Group - Access Outlier Score Calculation (AOS): Revolutionized employee similarity searches with a pipeline on Azure Synapse Analytics, enhancing access score calculations significantly.

• African American English (AAVE) Text Summarization: Spearheaded a project that improved text summarization by 18% using AWS Textract and fine-tuned RoBERTa models.

• Walmart - Mixed Media Marketing (WAMM): Optimized ad budget allocation, reducing model run time from 24 hrs to 1.3 hrs, and deployment times by 70%.

Department of Healthcare Finance, Washington DC, USA

Data Scientist, March 2021 – August 2022

• High-Risk Category Group Prediction: Developed an Azure Cloud ML pipeline predicting high-risk group diseases with a Power BI dashboard for real-time insights.

• Classifying Medicaid Beneficiaries by Census Tract Data: Utilized geocoding and Power BI to classify and analyze Medicaid beneficiaries, enhancing data-driven decision-making.

Projects That Make Me Proud

• Audio Speech Synthesis: Crafted an AWS-based pipeline for voice conversion, showcasing my skills in audio synthesis and cloud computing.

• Cross-Modal Information Retrieval System: Developed an innovative retrieval system that bridged images, videos, audios, and text for comprehensive data analysis.

• Quran Learning Application: Combined my passion for education with technology to assist users in improving Quran recitation through an iOS app powered by machine learning models.

Skills Toolbox

• Languages & Technologies: Python, R, SQL, PySpark, Swift, C++, TensorFlow, Keras, PyTorch, AWS, Azure, GCP, Docker, GitHub Actions.

• Machine Learning Domains: NLP, Deep Learning, Audio Synthesis, Supervised ML, Generative AI.

• Data Analytics & Visualization: Power BI, Tableau, Advanced Excel, Statistical Modeling, A/B Testing.

• DevOps & CI/CD: Jenkins, Concord, GitHub Actions, Azure Pipelines.

I'm excited to bring my blend of data science expertise and innovative thinking to ETHDenver 2024, ready to dive into blockchain's transformative potential. Let's connect and explore how we can build the decentralized future together!

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