Hello World

I am Nishad Nakhwa,
a Graduate Research
Assistant & Data Analyst

About

I'm a Graduate Research Assistant and Data Analyst passionate about using data to drive intelligent solutions. With a Master's degree in Data Science from Florida State University, I specialize in turning complex datasets into clear, actionable insights through predictive modeling, data visualization, and scalable analytics pipelines. My work also spans natural language processing, where I fine-tune large language models using LoRA and PEFT with tools like PyTorch and Hugging Face. I haved worked on mordern AI techniques like RAG while building a chatbot. I thrive at the intersection of analytics and AI—solving real-world problems with a blend of statistical thinking and machine learning.

Expertise

Turning ideas into impact with these skills:

Programming Languages & Frameworks

R, Python, Pytorch, Transformers, TensorFlow.

Data Analysis Tools

NumPy, Pandas, Seaborn, Matplotlib, SciPy, Scikit-learn.

Database Management

SQL (MySQL, PostgreSQL)

Visualization Software

Microsoft Power BI, Tableau, Microsoft Excel, Google Looker

Cloud Technologies

AWS (EC2, S3, RDS), Azure, Snowflake.

Data Science & Analytics

Data Analytics, Data Visualization, Data Mining, Data Modeling, Machine Learning, Predictive Modeling.

Experience

Building a RAG chatbot for the Department of Scientific Computing website using Selenium for web scraping, converting content into JSONL, and implementing document chunking with vector embeddings.
Implementing search over a vector store and integrated the gpt-oss model using Ollama and LangChain, enabling accurate, department-specific responses to user queries.
Fine-tune LLMs on datasets with over 50,000 examples using LoRA and PEFT, improving task accuracy by 10-15% on models such as DistilGPT2 through parameter-efficient techniques and controlled experiments.
Build and optimize fine-tuning pipelines with Hugging Face Transformers and PyTorch, achieving 85%+ F1 scores acrosssentiment classification, summarization, and Q&A, while reducing training time by 35% using mixed-precision and batch tuning.
Collaborated with faculty and peers across disciplines to interpret data insights, documented findings, and presented results viatechnical reports and visual dashboards.

Designed and deployed scalable data models to process RFID/barcode data, improving logistics traceability and reducingtracking delays by 30% across manufacturing and pharma clients.
Developed business intelligence dashboards in Power BI to track KPIs like machine utilization and delivery timelines, reducingreporting latency by 40% through automated refresh scheduling and optimized queries.
Managed high-volume datasets in Snowflake and AWS S3, and automated ETL workflows to support real-time analytics, improving visibility into stock movement and delivery performance by 15%.
Collaborated with cross-functional teams using Agile methodologies and Jira to align data solutions with evolving clientrequirements, accelerating project delivery by 20% and boosting platform adoption during client onboarding.

Education

Relevant Coursework includes Machine Learning, Data Mining, Regression Analysis, Advanced Data Science, Data Ethics, Mathematics for Data Sciecne, Computer Security in Data Science.

Relavant Coursework includes Data Mining & Business Intelligence, Artificial Intelligence, Big Data Analytics, Cloud Computing, Data Structures & Analysis, Database Management System.