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Data Scientist with less than a year in Data Analysis & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech graduate in Artificial Intelligence & Data Science with strong analytical and problem-solving skills. Knowledge of SQL, Excel, Python, and data analysis techniques gained through academic projects. Experienced in data preprocessing, reporting, and identifying meaningful insights from structured data.
Pace Institute of Technology and Sciences
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
CodeTantra
Java Full Stack
October 1, 2025 – February 1, 2026
India
42 Learn
Full Stack Development with MERN
June 1, 2025 – October 1, 2025
India
Library Management System
January 1, 2026 – June 1, 2026
Built a full-stack application with inventory management, search functionality, structured data handling, testing, and reporting features.
EduBot AI – Smart Question Generator
January 1, 2026 – June 1, 2026
Developed a Python-Django application for processing textual information, performing data validation, testing, and output verification while strengthening analytical and reporting skills.
Python Basics for Data Science
EDX
June 1, 2026 – Present
Palo Alto Cybersecurity Virtual Internship
EduSkills
June 1, 2026 – Present
Introduction to Artificial Intelligence
Infosys Springboard
June 1, 2026 – Present
Communication and Innovation
IBM Skills Build
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show an interest in AI, Data Science, and general software development. The internships, while not directly in data science, provide exposure to different development environments. This breadth suggests adaptability, but the lack of specific data science roles or projects beyond academic ones means the direct cultural fit for a senior Data Scientist role is moderate. The candidate is still early in their career, which aligns with a learning-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication, teamwork, and attention to detail through academic achievements. Project descriptions indicate an ability to work on structured tasks like data validation and reporting. However, the descriptions are generic, making it difficult to assess depth in problem-solving or independent operational fit.