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Data Science Machine Learning

Location:
Arlington, TX
Posted:
June 18, 2025

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Resume:

Arshad Jafri S MD

Dallas, TX, USA

**************@*****.*** 817-***-**** LinkedIn GitHub Portfolio EDUCATION

University of Texas at Arlington Arlington, Texas

Master of Science - Data Science Expected Graduation, Dec 2025 o Concentrations: Data Science Applications and Full Stack Development o GPA: 3.80/4.00

o Related Coursework: Data Structures & Algorithms, Objects & Design, Machine Learning, Artificial Intelligence, Object-Oriented Programming, Statistics & Applications SKILLS

Programming: Java, Python, R, MATLAB, JavaScript (ES6+), TypeScript Web Development: React.js, Next.js, Angular, HTML, CSS, Node.js, Express.js, PHP, jQuery, Bootstrap, REST APIs, NestJS Data & AI Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, Pandas, Matplotlib, Hadoop, Spark Databases & Tools: SQL Server, MySQL, PostgreSQL, MongoDB, Firebase, Git, GitHub Cloud & DevOps: Docker, Kubernetes, CI/CD Pipelines Data Visualization: Tableau, Power BI

Soft Skills: Communication, Leadership, Teamwork, Problem-Solving EXPERIENCE

BRAIN Lab - University of Texas at Arlington (UTA)Arlington, Texas Summer Research Intern - Machine Learning/ Artificial Intelligence May 2025 – Present

● Benchmarked large language models on key psychiatric NLP tasks—such as ICD-code prediction and clinical note summarization—utilizing metrics like BLEU, ROUGE, and BERTScore to quantify performance.

● Fine-tuned models (Mistral-7B, Llama-3) on de-identified mental health datasets, enabling advanced symptom extraction, note summarization, and empathetic response generation.

● Deployed and showcased an internal web demo on Hugging Face Spaces, demonstrating model capabilities for mental health professionals.

Office of Information Technology - University of Texas at Arlington (UTA) Arlington, Texas Web Developer Jun 2024 – Present

● Developed and customized department-specific websites using WordPress and Sitecore, implementing responsive, user-centered designs with HTML, CSS, and JavaScript.

● Developed and enhanced multiple UTA department websites, elevating accessibility and performance by 80% through optimized front-end development and rapid delivery.

● Optimized digital presence by reducing page load times by 50%, improving SEO, and ensuring seamless deployment through DNS configuration and network enhancements.

Cognizant Technology Solutions Chennai, India

Software Developer - Junior Product Specialist Sep 2021 – Dec 2023

● Led the end-to-end software development lifecycle, designing and maintaining scalable enterprise solutions for India’s largest insurance company using Java [SpringBoot], JavaScript[React JS], Python, and MySQL.

● Diagnosed and resolved over 95% of system defects, delivering expert technical solutions that ensured seamless execution and uninterrupted business operation.

● Conducted in-depth root cause analysis and leveraged data analytics to reduce system downtime by 25% over six months, improving application stability and efficiency.

PROJECTS

Market Forecasting & Sentiment Analysis Jun 2025 – Jun 2025 Finance & Analytics GCP, AWS, Snowflake, Tableau, Python

● Engineered a real-time dashboard using Yahoo Finance API and Python to fetch and process live stock data, storing it in Snowflake for downstream analysis.

● Built Tableau visualizations for stock trends, sector heatmaps, and financial KPIs like VaR, Beta, and Sharpe Ratio, with auto-refresh via scheduled pipelines.

● Integrated NLP-based sentiment analysis from Twitter/news to generate real-time risk signals, enhancing market insight and portfolio decision-making.

Image Fusion: Inpainting Targeted Areas on a Background Jan 2025 – Feb 2025 Deep Learning Computer Vision, CNNs, Python

● Designed and implemented a deep learning pipeline to inpaint masked regions of an image using convolutional neural networks (CNNs)

● Developed custom data augmentation and preprocessing scripts to enhance model robustness and image blending accuracy.

● Achieved seamless background reconstruction and object removal using structure-aware inpainting techniques.



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