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AI Engineer with 1+ years in Data Analysis & 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
Artificial Intelligence and Machine Learning graduate with hands-on experience in data analysis, Python, and SQL. Skilled in data cleaning, exploratory data analysis (EDA), statistical analysis, and data visualization using Pandas, NumPy, and Power BI. Experienced in building interactive dashboards, identifying trends, and applying predictive modeling techniques to transform complex data into actionable insights for data-driven decision-making and real-world problem solving.
Mahaguru Institute of Technology
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Luminar Technolab
Python, Data Science and Power BI Intern
July 1, 2025 – Present
Cochin, Kerala, India
TORC Infotech Pvt. Ltd.
Artificial Intelligence Intern
May 1, 2023 – Present
Cochin, Kerala, India
FinGuard: Predictive Financial Health & Saving Analysis
June 1, 2026 – Present
Built an end-to-end machine learning pipeline including data preprocessing, feature selection, model training, and evaluation. Implemented and compared multiple algorithms to identify the best-performing model. Achieved improved prediction accuracy through feature engineering and model optimization techniques.
Samsung Data Analysis Dashboard (Power BI)
June 1, 2026 – Present
Designed a Power BI dashboard to analyze Samsung sales data, highlighting product performance, regional trends, and key KPIs. Utilized Power Query and DAX for data preprocessing and metric calculations. Delivered actionable insights through interactive and visually optimized reports.
Drone Technology Intern
Institute of Aeronautics Astronautics & Aviation
June 1, 2026 – Present
Research Paper Presentation - Sign Language Detection and Generation using Deep Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a focus on AI/ML and data analysis, aligning well with an AI Engineer role. The diversity of projects (financial health prediction, sales data analysis, sign language detection) indicates a broad interest in applying AI across different domains. However, the experience is primarily academic and internship-based, which might require a more structured environment for transitioning into a senior industry role. The current experience level is listed as 1, which suggests a junior profile, potentially impacting cultural fit for a senior role without significant mentorship.
Soft Skills & Operational Fit
The candidate lists soft skills such as Communication, Problem Solving, Time Management, Adaptability, Teamwork, and Decision Making. While these are valuable, the provided data does not offer specific examples or assessments to validate their operational fit in a senior role. The project descriptions indicate an ability to work through a problem from data to insights, suggesting some problem-solving and decision-making capacity within an academic context.