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AI Engineer with less than a year in LLM and Data Analysis
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Assessing your cultural and operational fit
Highly motivated and results-oriented AI Engineer, currently pursuing a B.Tech in Computer Science and Engineering (AI). Possessing a foundational understanding of data science principles and practical experience in LLM fine-tuning, data manipulation, and statistical analysis. Proficient in Python, SQL, and various data science libraries, with a proven ability to identify key insights from complex datasets and translate them into actionable recommendations, as demonstrated in projects like HR Employee Attrition Analysis and Smart Sleep Predictor.
Noida Institute of Engineering & Technology
B.Tech · Computer Science and Engineering (AI)
August 1, 2022 – June 30, 2026
Satyam International School
12th
June 1, 2020 – May 31, 2022
Dr. D.Y.Patil Pushpalata Patil International School
10th
June 1, 2018 – May 31, 2020
Ethara AI
LLM Post Training Intern
March 1, 2026 – May 1, 2026
India
YBI Foundation
Data Science Trainee
November 1, 2024 – December 1, 2024
India
HR Employee Attrition Analysis
August 1, 2025 – Present
Analysed IBM HR dataset (1,470 employee records) to identify key factors driving employee attrition across departments and job roles. Found that employees working overtime had significantly higher attrition rates, and surfaced salary band and work-life balance score as major contributing factors. Built countplots, boxplots, and heatmaps to communicate findings visually, framing results as actionable retention recommendations for HR teams.
Smart Sleep Predictor
February 1, 2025 – Present
Analysed a sleep health dataset to explore how lifestyle factors like stress level, BMI, and sleep duration affect sleep quality and disorders. Identified stress level and BMI as the strongest predictors of sleep condition through EDA and correlation analysis. Visualised patterns across age groups and occupations to understand which demographics are most at risk for sleep disorders.
Natural Language Procesing Using Python
Infosys
June 1, 2026 – Present
Python for AI, Data Science and Development
IBM
June 1, 2026 – Present
Human-Centered Design for Inclusive Innovation
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate an interest in applying data analysis to real-world problems (HR attrition, sleep health). The LLM internship indicates an openness to emerging technologies. The certifications in Python and NLP further support a proactive learning attitude. However, the limited professional experience means there's less evidence to assess long-term cultural alignment with a fast-paced, senior-level data team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate analytical findings into actionable recommendations, suggesting a practical and results-oriented approach. The internship experience, though brief, shows exposure to collaborative environments and iterative processes. However, the overall experience level is very junior, which might impact operational fit for a senior role requiring independent problem-solving and leadership.