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AI Engineer with less than a year in Data Analytics, Machine Learning, and Mainframe Technology.
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 detail-oriented B.Tech graduate specializing in (Artificial Intelligence and Data Science), seeking an entry-level opportunity in the IT industry. Strong foundation in Data Analytics, Artificial Intelligence and Mainframe Technology.Hands-on academic experience in Data Analytics using Excel and Power BI, along with working knowledge of IBM Mainframe (z/OS, JCL, VSAM, SMP/E,IPL).Possess strong analytical, problem-solving, and communication skills with the ability to quickly adapt to new technologies and contribute effectively to organizational goals.
SRI VENKATESWARA MATRICULATION HIGHER SECONDARY SCHOOL
SSLC
N/A – Present
VEL TECH MULTI TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE
B.Tech
N/A – June 30, 2025
SRI VENKATESWARA MATRICULATION HIGHER SECONDARY SCHOOL
HSC
N/A – Present
Edify Techno Solutions
AI ML
May 18, 2026 – June 1, 2026
Chennai, Tamil Nadu, India
vcodez
Data Analytics
March 1, 2026 – June 1, 2026
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate's project diversity is limited to two internships, both focused on data and AI/ML. While this aligns with the target role of an AI Engineer, the breadth of experience is narrow. The inclusion of Mainframe Technology skills, while unique, might indicate a broader interest or exposure beyond pure AI, which could be a strength for roles requiring diverse technical understanding. However, the overall cultural fit is moderately assessed due to the entry-level experience and lack of diverse project exposure.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, as highlighted in their professional profile and internship descriptions. Their ability to quickly adapt to new technologies suggests a good operational fit for dynamic environments. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.