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AI Engineer with less than a year in Data Science & 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
I am Benila M, B.Tech student in Artificial Intelligence and Data Science, passionate about uncovering insights from data. Skilled in Python, SQL, Excel, and Power BI, with experience in converting raw datasets into meaningful dashboards and predictive insights.
Panimalar Engineering College
B.Tech · Artificial Intelligence and Data Science
October 1, 2022 – April 1, 2026
Mizoram University
Research Intern
June 1, 2025 – August 1, 2025
India
SpectraGuard – Intelligent Concealed Substance Detection System
January 1, 2026 – April 1, 2026
Developed an intelligent security framework using Raman Spectroscopy and Machine Learning to detect concealed substances in luggage. Performed preprocessing on spectral data including noise removal, baseline correction, and normalization to enhance data quality. Implemented Random Forest classifier for substance classification and integrated SHAP for Explainable AI-based interpretation. Achieved high accuracy (95%-99%) through effective feature extraction and ensemble learning techniques.
Data Cart – AI-Powered Marketplace Insights Platform
July 1, 2025 – October 1, 2025
Developed an end-to-end analytics platform providing actionable marketplace insights for small businesses. Performed data preprocessing and EDA on transactional sales data to uncover revenue and customer trends. Implemented K-Means clustering for customer segmentation and XGBoost-based forecasting for sales prediction. Built interactive dashboards to visualize KPIs and support data-driven business decisions.
AI Translator for Inclusive Communication
January 1, 2025 – March 1, 2025
Developed a real-time sign language translation system that converts hand gestures into text. Utilized computer vision and gesture recognition for detecting and interpreting signs using a webcam.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive and innovative mindset, tackling diverse problems with AI solutions. The focus on practical applications (e.g., inclusive communication, marketplace insights, security) suggests an interest in impactful work. However, the candidate is still a student with limited professional experience, which means cultural fit in a fast-paced, senior-level environment is largely unproven. The projects are personal, which is good for initiative, but doesn't provide insight into collaboration within a team or adherence to corporate standards.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse problems, from security systems to marketplace analytics and real-time translation. The internship experience, though brief, suggests an ability to collaborate on research and technical planning. However, the lack of professional experience beyond a short internship makes it difficult to fully assess operational fit and soft skills like teamwork, problem-solving under pressure, or independent initiative in a corporate setting.