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Data Science with less than a year in Data Analytics & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To obtain a challenging position in a high-quality engineering environment where my academic skills will add value to organizational operations and help improve myself.
Francis Xavier Engineering College
B.E. · Electronics & Communication Engineering
August 1, 2020 – June 30, 2024
IRT Polytechnic College
Diploma · Electrical and Electronics
August 1, 2016 – June 30, 2019
St. Joseph Matric. Hr. Sec. School
SSLC
N/A – May 31, 2016
Allen Infrastructers
Site Supervisor
April 1, 2025 – March 31, 2026
Tirunelveli, Tamil Nadu, India
HCL Tech
Junior Executive (Transport)
January 1, 2025 – March 31, 2025
Chennai, Tamil Nadu, India
Data analyst & Cloud (AWS, GCP)
Zenjade Automation Technology
February 1, 2024 – Present
Cultural Fit Analysis
The candidate's educational background and certification show an interest in technical fields, including data science and cloud. However, the professional experience is in non-technical roles (Site Supervisor, Junior Executive Transport) which do not directly align with a Data Science target role. This indicates a potential career transition, which might require significant upskilling and adaptation to a new work culture. The breadth of skills listed is diverse, but the depth in Data Science is not demonstrated through projects or relevant work experience.
Soft Skills & Operational Fit
The candidate's resume lists experience as a Site Supervisor and Junior Executive (Transport), which suggests organizational and operational skills. However, there is no direct evidence of soft skills like teamwork, problem-solving, or communication in a technical context. The experience is not directly aligned with a Data Science role, making it difficult to assess operational fit for such a position.