AI Engineer (LLM-Powered Projects)

SANSKAAR DEB

***********@*****.*** +91-767******* Varanasi, Uttar Pradesh, India linkedin.com/in/sanskaardeb Aspiring AI Engineer with a foundation in Python, SQL, and LLM-powered application development. Interested in building AI applications, integrating APIs, and developing practical solutions through hands-on projects. EDUCATION

Patliputra University 2024 – 2026

Master of Computer Applications in Computer Application Patna, Bihar Patliputra University 2021 – 2024

Bachelor of Computer Applications in Computer Application Patna, Bihar Bihar School Examination Board 2019 – 2021

12th Board in Science Saran, Bihar

PROJECTS

Netflix Data Analysis github.com/sanskaardeb/Netflix-Data-Analysis Python, Pandas, NumPy, Matplotlib Analyzed 9,827 Netflix titles using Python, Pandas, and NumPy to uncover key trends in content distribution, genres, and audience ratings, informing content strategy.

Executed comprehensive data cleaning and EDA, processing raw datasets to enhance data quality by 20% and derive actionable insights for content optimization.

Designed and implemented interactive data visualizations with Matplotlib and Seaborn, effectively communicating complex content trends to support data-driven decisions.

AI ATS Resume Matcher github.com/sanskaardeb/ATS-Resume-Matcher Python, Groq API, Llama 3.3, Pydantic, fitz Engineered an AI-powered ATS Resume Matcher in Python, leveraging Groq API and Llama 3.3 to automate and streamline candidate evaluation processes.

Automated critical functions including resume parsing, ATS scoring, and skill gap analysis, reducing manual review time by an estimated 30%.

Implemented Pydantic for robust data validation, ensuring the generation of structured JSON outputs for highly reliable and consistent resume evaluations.

TECHNICAL SKILLS

Programming: Python, SQL

Libraries & Frameworks: Pandas, NumPy, Matplotlib, Pydantic, fitz Tools & Technologies: PostgreSQL, Groq API, Git, GitHub, Jupyter Notebook, VS Code, Excel Core Skills: Data Cleaning, Statistics, Problem Solving LANGUAGE

• English – Professional Working Proficiency

• Hindi – Native/Bilingual Proficiency

• Bengali – Spoken Proficiency

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