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AI/ML Engineer with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
With experience across two internships, real-world projects, and the Google Arcade program, I've worked at the intersection of AI/ML and data analysis—turning data into actionable insights and intelligent solutions. I'm driven by curiosity to not just build models, but to understand patterns, solve meaningful problems, and create real impact.
Malout Institute of Management and Information Technology
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Edunet Foundation
AI Intern
September 1, 2025 – December 31, 2025
India
One Stop AI
AI/ML Intern
February 1, 2025 – May 31, 2025
India
CareerPilot – AI Job Hunt Assistant
January 1, 2025 – June 30, 2025
Built an AI-based system for job recommendations using NLP and ML Automated job search process, reducing manual effort by ~60% Implemented resume analysis and skill-based job matching
Google Cloud Arcade
January 1, 2025 – January 31, 2025
Completed Google Cloud Arcade, gaining hands-on experience with BigQuery, cloud services, and AI/ML tools through lab-based challenges.
View ProjectWine Quality Prediction using NLP
July 1, 2024 – December 31, 2024
Developed a TensorFlow-based text classification model on 129K+ wine reviews Improved accuracy from 68% to 84% using LSTM architecture Applied NLP techniques and deep learning for quality prediction
Netflix Content Analysis
March 1, 2024 – June 30, 2024
Performed EDA on Netflix dataset to analyze trends in genres, content type, and yearly releases Used Python (Pandas, Matplotlib) for data cleaning, visualization, and insights generation Identified key patterns in content distribution and audience preferences
Data-Driven Crop Recommendation Using Machine Learning: A Comparative Analysis
Journal of Advancement in Big Data Science and Data Analysis
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse range of projects, from AI job assistants to wine quality prediction and Netflix content analysis, indicates a broad interest in applying AI/ML to various domains. Their internships at Edunet Foundation and One Stop AI show an alignment with practical, applied AI/ML roles. The academic project and publication further demonstrate a commitment to the field. This breadth of experience and continuous learning aligns well with a dynamic, innovation-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through self-initiated projects and certifications. Their project descriptions indicate an ability to work on end-to-end ML pipelines and improve model performance, suggesting a problem-solving mindset. The collaboration mentioned in their education and the team-based project for crop recommendation indicate an ability to work in a team setting. However, without specific psychometric test results, a detailed assessment of stress handling, work attitude, and team collaboration beyond project descriptions is not possible.