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AI Engineer with 1+ years in AI/ML and Data Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven AI/ML Intern with 1.6 years of hands-on experience in data analysis, machine learning, and intelligent solution development. Proficient in Python, SQL, and various data science libraries, with a proven ability to preprocess, analyze, visualize data, and contribute to end-to-end AI project workflows. Seeking to leverage strong technical skills and problem-solving abilities to contribute to data-driven innovations.
Dr. D. Y. Patil College of Engineering, Kolhapur
Bachelor of Technology · Computer Science (Data Science)
November 1, 2021 – May 1, 2025
M. B. Tupare Jr. College, Karve
Higher Secondary Education
July 1, 2020 – March 1, 2021
Compserv Consultant Private Limited
AI/ML Intern
January 1, 2025 – November 1, 2025
Kolhapur, Maharashtra, India
Testbook
Data Science Intern
April 1, 2023 – November 1, 2023
India
Vendor Performance Dashboard
September 1, 2025 – September 1, 2025
Collected and ingested vendor data into a PostgreSQL database for structured storage and easy analysis. Performed Exploratory Data Analysis and data transformation to build aggregate tables and clean datasets for insights. Created interactive visualizations and a dashboard to analyze vendor performance and generate reports.
AI Enhanced Learning Assistant
March 1, 2025 – March 1, 2025
Automatically generates questions and answers using advanced AI techniques. Implements a system to evaluate and grade answers by comparing them with reference answer sheets. Provides a performance grading system based on similarity metrics and accuracy.
Data Analytics Essentials
Cisco Networking Academy
June 1, 2026 – Present
Data Science, Python, SQL, Statistics
Skill Academy (Testbook)
June 1, 2026 – Present
Machine Learning
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a focus on data science and AI, which aligns well with an AI Engineer role. The diversity of projects (vendor dashboard, AI learning assistant) and exposure to different companies (Compserv, Testbook) suggest adaptability and a willingness to explore various applications of AI/ML. The academic achievements also indicate a drive for excellence and a competitive spirit, which can be a positive cultural fit in a performance-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work in data-driven environments and contribute to project workflows. The academic achievements indicate a diligent and competitive individual. However, without specific psychometric or English test scores, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, and team collaboration directly.