Abhinav Bansal
@abhinavbansal
Python developer focused on data science and AI applications.
What I'm looking for
I am a Computer Science graduate with a specialization in Data Science and a strong foundation in software development, database management, and AI/ML integration. I build practical solutions using Python and modern data tools.
During a Data Science internship I developed a Decision Tree model with 89.35% accuracy and conducted Twitter sentiment analysis with 93.4% precision. I performed EDA on large datasets (Titanic 6GB; USA accident dataset 6M+ records) using Pandas, Seaborn and Matplotlib.
My projects include an AI/ML-powered ERP web app built with Django and NLP/OCR (OCR accuracy 97.89%) that reduced manual data entry by 80%, a smart healthcare chatbot prototype integrating a Gemini LLM with confidence-thresholded responses, and automated NLP pipelines using BeautifulSoup and SpaCy for extraction, summarization, and sentiment analysis.
I speak at conferences (PyData Delhi 2024) and hold certifications in cloud and data science. I am driven by problem-solving, collaborative work, and applying ML/NLP to produce measurable impact while continuing to learn and contribute in production-focused teams.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Prodigy Infotech
Jun 2024 - Jul 2024 (1 month)
Built a Decision Tree model achieving 89.35% accuracy and conducted Twitter sentiment analysis with 93.4% precision. Performed EDA on large datasets (Titanic 6GB; USA Accident 6M+ records) using Pandas and Seaborn.
Education
Degrees, certifications, and relevant coursework
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology, Computer Science (Data Science)
2021 - 2025
Grade: 7.55
B.Tech in Computer Science with specialization in Data Science from 2021 to 2025, completed with CGPA 7.55.
CBSE Senior Secondary (12th)
Senior Secondary (12th), Science (PCM + Computer Science)
2020 - 2021
Grade: 8.68
Completed Senior Secondary (12th) under CBSE in Science stream (PCM + Computer Science) with CGPA 8.68.
CBSE High School (10th)
High School (10th), General Secondary Education
2018 - 2019
Grade: 9.0
Completed High School (10th) under CBSE with CGPA 9.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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