Shivam Dubey (Dubey)

India

@shivvam2002

B.Tech CSE Graduate | AI/ML Enthusiast | Skilled in Python, TensorFlow, NLP, DL

Badges

CPP
Python
C language

Certifications

Work Experience

  • Data Science with GenAI Internship

    Innomatics Research Labs•  September 2024 - Present•  Hydrabad,India

    Collaborating on Data Science, Artificial Intelligence, Machine Learning, and Generative AI projects to apply theoretical concepts into real-world applications. Participating in upskilling training sessions and executing assigned tasks to enhance expertise in Data Science, Machine Learning, and AI. Handling confidential business information in adherence to strict privacy protocols. Working with team members to develop solutions and improve project outcomes through consistent effort and innovative approaches.

  • AI/ML

    Antihak.AI•  February 2024 - May 2024•  Sec-2 ,Noida , UP.

    • Developed ”SafeTransact,” a secure transaction management system to combat financial fraud. • Utilized Python, OCR techniques, and machine learning for image processing and data extraction. • Collaborated on integrating machine learning models for fraud detection and prevention.

  • Data Science Intern

    Suvidha Foundation •  December 2023 - February 2024•  Nagpur ,India

    • Contributed to the Digital Summarizer Project in the NLP, DL, and ML domains. • Responsible for text summarization and Seq2seq model training. • Enhanced skills in NLP, DL, and ML.

Education

  • Galgotias University,Greater Noida

    Computer Science & Engineering, B.Tech•  December 2020 - August 2024•  CGPA: 8.61

    Recent B.Tech in Computer Science and Engineering. with a CGPA of 8.61. Proficient in Python, TensorFlow, scikit-learn, NLP, deep learning, and machine learning. Experienced in developing and deploying AI-driven applications and models. Skilled in data manipulation, analysis, and visualization using Pandas, Matplotlib, and Seaborn.

Skills

SQL
Machine Learning
Python(Intermediate)
Data Structure
Data science
data analysis
LLM
Tesnorflow
EDA