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Data Science with 1+ years in Data Analysis & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly motivated and detail-oriented Data Analyst fresher, eager to apply analytical skills to uncover insights from data. Proficient in Excel, SQL, and Python for data manipulation, visualization, and reporting. Passionate about continuous learning and excited to contribute to a dynamic team, while improving business operations through data insights.
APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
Bachelor of Information Technology · Information Technology
August 1, 2020 – June 30, 2024
ARCRAFT INFOTECH
Data Analyst Trainee
January 1, 2025 – Present
India
Early Detection of Autism Using Transfer Learning
January 1, 2024 – December 31, 2024
A web application that uses facial feature extraction from uploaded photos to help diagnose autism in children under the age of three.
NPTEL online certification on Python for Data Science
NPTEL
January 1, 2024 – Present
Certificate Course on Artificial Intelligence (MS-AI001) Microsoft Azure AI Cognizant Foundation in association with ICT Academy
ICT Academy
May 1, 2023 – Present
Certificate for internship in Flutter
Unknown
July 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic background and project work align with a learning-oriented culture. The 'Early Detection of Autism' project shows an interest in impactful applications of technology. The certifications indicate a proactive approach to skill development. However, the limited professional experience and project diversity suggest a need for mentorship and structured growth within a team.
Soft Skills & Operational Fit
The candidate lists critical thinking, adaptability, and teamwork as soft skills. The project description for 'Early Detection of Autism' suggests problem-solving and application of technical knowledge. The internship as a Data Analyst Trainee indicates an ability to work in a professional setting and contribute to data analysis processes. However, the experience level is very junior, and the descriptions are brief, limiting a deeper assessment of operational fit.