Vinayak Parte
Data Scientist | 2+ Years Experience | Machine Learning | Predictive Analytics | Python | SQL | R | Credit Risk | NLP | Immediate Joiner
Profile last updated September 2026
About
Data Scientist with 2+ years of experience developing machine learning and predictive analytics solutions across fintech and analytics domains. Proficient in Python, SQL, and R with expertise in EDA, feature engineering, statistical modeling, and classification/regression models. Experienced in credit risk modeling, Flask API deployment, and building Retrieval-Augmented Generation (RAG) applications using LLMs.
Experience
Data Scientist
Radix Analytics
Mar 2022 – Jun 2024
Education
YASHWANTRAO CHAVAN INSTITUTE OF SCIENCE, SATARA
Post Graduation, M.Sc. (Master of Science)
2018 – 2020
RAJARAM COLLEGE
Under Graduation, B.Sc. (Bachelor of Science)
2015 – 2018
Projects
A Study on Bank Loa Approval
In this project we try to reduce this risk factor behind selecting the safe person so as to save lots of bank efforts and assets. This is done by mining the Big Data of the previous records of the people to whom the loa
Python
A Study on Bank Loa Approval
In this project we try to reduce this risk factor behind selecting the safe person so as to save lots of bank efforts and assets. This is done by mining the Big Data of the previous records of the people to whom the loa
Machine Learning · Python · Statistical Analysis
Certifications
- Mastering Generative AI and ChatGPT — GeeksforGeeks (Jul 2025)
- AWS Certified Cloud Practitioner Exam [Certification Course] — GeeksforGeeks (Jun 2025)
- The Complete Python Developer — Udemy (Jan 2024)
- Python for Machine Learning — Great Learning (Sep 2020)
Vinayak Parte is a Data Scientist | 2+ Years Experience | Machine Learning | Predictive Analytics | Python | SQL | R | Credit Risk | NLP | Immediate Joiner at YASHWANTRAO CHAVAN INSTITUTE OF SCIENCE, SATARA, based in Pune, Maharashtra, India. View their complete profile — including skills, work experience, and education — on Riseflake, India's professional network for students and early-career professionals.
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