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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
Aspiring AI/ML Engineer skilled in Python, SQL, OOPs, Machine Learning, and Data Analysis. Experienced in data cleaning, EDA, and visualization using Pandas, NumPy, Excel, and Power BI. Familiar with Generative AI, LLMs, APIs, and RESTful integrations, with strong analytical and problem-solving skills.
B.S. Abdur Rahman Crescent Institute of Science & Technology
Bachelor of Technology (B.Tech) · Electronics and Communication Engineering
June 1, 2021 – January 1, 2025
M.P.R.M. Sri Viswasanthi Mahila Junior College
Intermediate (MPC)
June 1, 2019 – March 1, 2021
Narayana E-Techno School
Secondary School (10th Grade)
June 1, 2018 – March 1, 2019
COVID-19 India Public Health Dashboard
August 1, 2025 – December 1, 2025
Engineered an end-to-end interactive Power BI dashboard to analyze COVID-19 data across time series, state-level distribution, and vaccination metrics, enabling data-driven decision-making. Designed KPIs and calculated measures using DAX (Total Cases, Active Cases, Recovery Rate, Death Rate) for performance tracking and trend analysis. Streamlined ETL workflows by cleaning, transforming, and integrating data using Power Query and Excel, followed by data modeling to ensure accuracy and consistency. Built advanced interactive visualizations using slicers, filters, drill-down, and geographic maps; conducted EDA to identify peak infection waves, high-risk states, and recovery trends.
Smart Road Damage Detection System
January 1, 2025 – May 1, 2025
Built a YOLOv8n-based road damage detection system on Raspberry Pi 5 using real-time camera input. Classified four types of road damage to support efficient road condition monitoring. Integrated Google Sheets for structured data logging and tracking by authorities. Enabled remote monitoring using RealVNC for continuous data collection and system control.
RFID Smart Attendance System
July 1, 2024 – December 1, 2024
Implemented an RFID-based attendance system using ESP32 for real-time tracking. Integrated Python with Google Sheets API to record attendance data instantly and improve accuracy. Configured unique RFID identification with timestamp logging for reliable data capture. Enhanced system reliability by adding data validation and duplicate handling mechanisms.
NPTEL Elite Certification - Social Innovation in Industry 4.0
NPTEL
June 1, 2026 – Present
Cambridge Business English Certificate (BEC)
Cambridge
June 1, 2026 – Present
Data Analytics Certification
Destination Careers
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a blend of academic rigor (YOLOv8n, RFID) and practical application (COVID-19 dashboard). The 'Smart Road Damage Detection System' aligns well with an AI Engineer role, showcasing hands-on ML deployment. The 'COVID-19 India Public Health Dashboard' highlights data analysis and visualization, which are foundational for AI roles. The 'RFID Smart Attendance System' shows integration skills. The candidate is still pursuing a Bachelor's degree, which means their experience is primarily academic/personal. While the projects are relevant, the lack of professional experience and a broad range of diverse team-based projects limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on end-to-end solutions, from data collection and processing to visualization and real-time deployment. The academic and personal projects indicate initiative and a practical approach to problem-solving. The focus on real-world applications (road damage, public health) suggests a results-oriented mindset. However, without direct work experience or psychometric test results, it's difficult to fully assess stress handling, team collaboration, or specific work attitudes.