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AI Engineer with less than a year in data analysis, dashboard creation, and web application developm
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AIML Engineer with an experience in PowerBI and Tableau for dashboard creation and reports. Specializing in Seaborn, Matplotlib, Dash, plotly in python and with a knowledge in web technologies such as React and SQL. Proficient in designing AI-based applications with responsive front-end designs and effective database systems. Focused to optimize real-time systems and industrial efficiency.
Vivekananda College of Engineering and Technology (VCET)
B.E in Artificial Intelligence and Machine Learning · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Vivekananda Pre University College
Board of Pre-University Education, Karnataka
June 1, 2020 – May 31, 2022
Indraprastha Vidyalaya
Karnataka Secondary Education Examination Board, Karnataka
June 1, 2018 – May 31, 2020
Take It Smart (OPC) Pvt Ltd
Data Science Intern
February 1, 2026 – May 1, 2026
India
Smart Attendance System
January 1, 2026 – January 1, 2026
Real time face detection, recognition, and automated attendance marking using Python, OpenCV, MTCNN, and FaceNet. Built an interactive dashboard for attendance monitoring, trend analysis, person-wise reports, and real-time database management with duplicate attendance prevention. Integrated advanced features such as DeepSORT tracking, email alerts, SQLite database handling, and real-time video processing to improve system accuracy and automation.
Pizza Sales Analysis
January 1, 2026 – January 1, 2026
Understood Business problem and performed KPI requirements and different chart requirements. Used Python libraries such as seaborn, matplotlib and plotly for chart and dynamic dashboard generations. PowerBI is used for responsive dashboard of two pages and SQL is used for value counting for cross checking.
Software Development
January 1, 2025 – January 1, 2025
Developed an AI-powered Software Development Team simulator using CrewAI and FastAPI to automate software planning, backend generation, and frontend development workflows. Built a full-stack autonomous application generation system integrating multiple AI agents for backend and frontend code creation with a responsive Streamlit dashboard and API-driven architecture. Optimized multi-agent AI workflows using Groq LLMs, reducing token usage and improving execution efficiency through structured task orchestration and rate-limit handling.
SQL(Intermediate) Test
HackerRank
January 1, 2026 – Present
Data Base Management System
NPTEL
January 1, 2025 – Present
Complete Data Analyst Bootcamp From Basics To Advanced
Udemy
January 1, 2025 – Present
Machine Learning with Python
Cognitive Class.ai
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI/ML to diverse problems, from software development automation to smart attendance systems and data analysis. This breadth of interest and willingness to tackle varied challenges suggests a good cultural fit for an innovative AI Engineer role. The listed soft skills also align with collaborative and dynamic work environments. However, the lack of extensive professional experience means the cultural fit is primarily inferred from project diversity and stated skills.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Communication, Teamwork, Adaptability, and Time Management as soft skills. The project descriptions indicate an ability to understand business problems and translate them into technical solutions, which aligns with operational fit. The academic nature of most projects and limited professional experience means these soft skills are primarily self-assessed or demonstrated within academic contexts.