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Raviprasad Devadiga

@raviprasaddevadiga

Data Scientist

BTM Layout, Bangalore

www.linkedin.com/in/raviprasad-s-175141260

Intellipaat Software Solutions Pvt LtdVisveswaraya Technological University

Raviprasad Devadiga is a Data Scientist skilled in analyzing complex datasets and developing machine learning models. He possesses expertise in Python, SQL, and various techniques including NLP, Deep Learning, and Supervised/Unsupervised Learning. His project experience includes building models for stock price prediction, credit card fraud detection, and flight price prediction, demonstrating strong analytical and data-driven problem-solving capabilities.

Experience

Data Scientist Intern

Intellipaat Software Solutions Pvt Ltd

•Dec 2022

Analyzed and interpreted complex data sets, extracting meaningful insights to support decision-making processes. Assisted in the development and evaluation of machine learning models. Developed new methods for collecting data, including designing surveys or experiments. Provided strong, timely financial and business analytics for decisions by partners and organizational stakeholders.

Senior Analyst ( Engineer )

Knight Frank India

•Apr 2018 - Dec 2020

Develop scope and parameters for project design and implementation. Identify project responsibilities, delegating phases and elements to the appropriate personnel. Develop and control the full project-plan lifecycle. Documentation and data gathering.

Education

MIT x Micro Masters and Intellipaat

PGP in Data Science and Machine Learning

Data Science and Machine Learning

Dec 2020 - Dec 2022

Visveswaraya Technological University

Bachelor of Engineering (B.E / B.Tech)

Licenses & Certifications

PGP in Data Science and Machine Learning

MIT x Micro Masters and Intellipaat

• No expiration

Skills

Python
NumPy
Pandas
Matplotlib
SQL
Jupyter Notebook
Supervised Learning
Seaborn
Scikit Learn
Machine Learning
Statistics
Deep learning
Power BI
Information Retrieval
Unsupervised Learning
Natural language processing (NLP)
Linear Regression
Random Forest