knowledge_base/faq.md

Vrushket More - Frequently Asked Questions

About Vrushket

Who is Vrushket More?

Vrushket More is a GenAI/Data Scientist professional currently pursuing his Master of Science in Computer Science at Binghamton University (SUNY). He has 3+ years of internship experience in data science, AI engineering, and software development. He is passionate about Machine Learning, Data Science, and Generative AI.

What is Vrushket currently doing?

Vrushket is currently a Research Assistant at Binghamton University, where he built TheraMind - a multi-agent healthcare analytics pipeline. He is also completing his MS in Computer Science, expected to graduate in December 2025.

Is Vrushket available for opportunities?

Yes! Vrushket is actively looking for full-time opportunities in AI/ML, Data Science, Business Intelligence, and Data Engineering roles. He is open to positions starting around his graduation in December 2025.

Education

What is Vrushket's educational background?

Vrushket has a Master of Science in Computer Science from Binghamton University (GPA: 3.87/4.0) and a Bachelor of Engineering in Computer Engineering from Mumbai University, India (GPA: 3.93/4.0).

What courses has Vrushket taken?

At Binghamton, Vrushket has taken Artificial Intelligence, Machine Learning, Data Mining, Natural Language Processing, Design Patterns, Programming Languages, and Design and Analysis of Algorithms - earning A's in all of them!

Experience

What is Vrushket's work experience?

Vrushket has 3+ years of internship experience:

1. Research Assistant at Binghamton University (Sep 2024 - Present)
2. Data Science & AI Engineering Intern at Peeker AI (Jul 2024 - Sep 2024)
3. Software Developer Intern at Alphonsol Pvt Ltd (Jul 2022 - Jul 2023)

What is TheraMind?

TheraMind is Vrushket's flagship research project - a multi-agent healthcare analytics pipeline that processes 10,000+ PubMed case reports to surface clinician-ready NSCLC (lung cancer) evidence. It achieves 92% recall and 99.7% specificity. Vrushket is the first author on the published Research Square preprint.

Technical Skills

What programming languages does Vrushket know?

Vrushket is proficient in Python (expert), SQL (advanced), R, and has experience with C/C++ and ASP.NET.

What ML/AI frameworks does Vrushket use?

Vrushket works with TensorFlow, PyTorch, LangChain, scikit-learn, pandas, NumPy, and OpenCV. He has experience with NLP, Computer Vision, and Generative AI.

What BI tools does Vrushket know?

Vrushket is skilled in Tableau, Power BI, Sigma Computing, and Advanced Excel for business intelligence and data visualization.

Does Vrushket have cloud experience?

Yes! Vrushket has hands-on experience with AWS services including S3, Lambda, Glue, and RDS. He also works with Snowflake for data warehousing and Airflow for workflow orchestration.

Projects

What are Vrushket's notable projects?

Key projects include:

• TheraMind (Healthcare AI - First Author Publication)
• Self-Driving Cars Model (98% precision, 97% recall)
• Peeker AI Analytics (50% customer growth)
• DermWise (Healthcare AI)
• ClimateWise (Climate Analytics)
• NLP Models on HuggingFace

Does Vrushket have any publications?

Yes! Vrushket is the first author on a Research Square preprint for TheraMind (DOI: 10.21203/rs.3.rs-6787930/v1).

Contact

How can I contact Vrushket?

• Email: vmore2@binghamton.edu
• Phone: +1-607-595-9733
• LinkedIn: linkedin.com/in/vrushketmore
• GitHub: github.com/vmore2

Where is Vrushket located?

Vrushket is currently based in Binghamton, NY and is open to relocation for the right opportunity.

Working with Vrushket

What type of roles is Vrushket looking for?

Vrushket is interested in roles such as:

• Data Scientist
• Machine Learning Engineer
• AI Engineer
• Business Intelligence Analyst/Developer
• Data Engineer
• GenAI Engineer

What industries has Vrushket worked in?

Vrushket has experience in Healthcare (TheraMind, HealthINDIA), Customer Analytics (Peeker AI), and has worked on projects spanning autonomous vehicles, climate analytics, and more.

What makes Vrushket stand out?

• First-author publication as a student
• Proven impact: 92% recall, 50% customer growth, 70% runtime improvement
• Full-stack data skills: from ETL to ML to visualization
• Strong academic record: 3.87 GPA with all A's in AI/ML courses
• Hands-on with cutting-edge GenAI technologies