Ravi UserRU
Looking for a job

Ravi User

@raviuser

Data Scientist with expertise in machine learning and deep learning models

India

What I'm looking for

Seeking a challenging role that leverages my expertise in machine learning and deep learning to drive business growth and innovation, with opportunities for professional growth and development.

As a seasoned Data Scientist, I leverage my extensive experience in building and deploying machine learning and deep learning models to drive business growth and innovation. With a strong background in pharmaceutical engineering and technology, I excel in developing impactful solutions that optimize processes, enhance decision-making, and enable innovation across diverse domains.

My expertise spans machine learning, generative AI, statistics, language models, data visualization, and computer vision. I am proficient in handling large-scale data, predictive analytics, and creating end-to-end pipelines for model development and deployment.

With a proven track record of delivering high-performance models and solutions, I am committed to staying at the forefront of AI and machine learning advancements, driving innovation and growth in the industry.

Experience

Work history, roles, and key accomplishments

SL

Data Scientist Intern

SYENSQO, AI Lab

Oct 2022 - Jan 2023 (3 months)

Developed a chemical space visualization tool tailored for analyzing extensive chemical libraries, fostering user exploration and comprehension of chemical behaviors and insights

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology (BHU) Varanasi logoIV

Indian Institute of Technology (BHU) Varanasi

Ph.D., Pharmaceutical Engineering & Technology

2019 - 2024

Grade: 9.2/10.0

Conducted research on the applications of artificial intelligence in drug discovery, focusing on treatments for Alzheimer's Disease. Achieved a GPA of 9.2/10.0 during the program.

Indian Institute of Technology (BHU) Varanasi logoIV

Indian Institute of Technology (BHU) Varanasi

Master's, Pharmaceutical Engineering & Technology

2017 - 2019

Grade: 8.49/10.0

Studied advanced concepts in Pharmaceutical Engineering & Technology, achieving a GPA of 8.49/10.0. Focused on the integration of technology in pharmaceutical applications.

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