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Data Engineer with less than a year in Python, SQL & Data Automation
AI & Data Science graduate with practical experience in Python, SQL, and data automation through internship and projects. Worked on automating data extraction and data processing using Python. Familiar with ETL concepts, data transformation, and handling large datasets. Volunteering at the Pune User Group of Snowflake, gaining exposure to Snowflake technologies and the data community. Eager to build a career in Data Engineering and Snowflake technologies with strong problem-solving and analytical skills.
Pune Vidyarthi Griha's COET, Pune
Bachelor of Engineering · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2025
Fergusson College, Pune
HSC (12th Board)
June 1, 2019 – May 31, 2021
Prayas Energy Group
Data Analyst Intern
March 1, 2026 – Present
India
Conversational LLM for Indian Legal Judiciary System
January 1, 2026 – Present
Built a domain-specific Conversational AI system using Legal-BERT for legal query understanding, case retrieval, and judgment prediction. Integrated Fast API and MySQL for real-time chatbot interaction, achieving 87% accuracy in legal document classification.
Fake Review Analytics & Detection Pipeline
January 1, 2026 – Present
Developed an automated data processing pipeline for analyzing and classifying large-scale e-commerce review datasets. Built ETL workflows for data extraction, cleaning, transformation, and loading into Snowflake for centralized storage and analytics. Implemented NLP-based preprocessing and feature engineering techniques using TF-IDF for fake review classification. Designed SQL-driven analytical workflows to generate insights and improve review data quality analysis.
Data Analyst
Geeks For Geeks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI & Data Science, coupled with projects involving both traditional data processing and advanced AI/ML applications, suggests a broad interest in data-related fields. Their internship as a Data Analyst and stated aspiration for a Data Engineer role align well with a growth-oriented culture. Involvement in a user group indicates a desire for community engagement and continuous learning. The diversity of projects (legal AI, e-commerce review analysis) shows adaptability and a willingness to tackle different problem domains.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude and a willingness to learn, as indicated by their self-starter description and involvement in the Snowflake user group. Their project work shows problem-solving skills and an ability to automate tasks, which are valuable for operational efficiency. However, the current experience is primarily academic and internship-level, suggesting a need for further development in a professional, fast-paced data engineering environment.