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AI Engineer with less than a year in data analytics, machine learning, and deep 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
As an AI-ML and Data Analytics Intern, I've completed real-world data-driven projects, focusing on data preprocessing, model development, and performance evaluation to extract meaningful business insights. I am proficient in Python, Pandas, NumPy, Power BI, and Matplotlib for analysis and reporting, and have collaborated on designing predictive models and optimizing analytical workflows. My projects demonstrate strong skills in machine learning model development, data analysis, and computer vision for practical applications.
Trident Academy of Technology
Bachelor of Technology · Computer Science and Technology
August 1, 2022 – June 30, 2026
DAV Public School, MCL Kalinga Area
AISSE - CBSE
N/A – May 31, 2020
DAV Public School, MCL Kalinga Area
AISSCE CBSE, Science (PCMB) · Science (PCMB)
N/A – May 31, 2022
Clivertech Solutions
AI-ML and Data Analytics Intern
June 1, 2025 – November 1, 2025
Bhubaneshwar, Odisha, India
Hand Gesture Recognition & Virtual AI Mouse
June 1, 2026 – Present
Built a real-time gesture recognition system using MediaPipe and OpenCV to detect 15 hand gestures. Developed a virtual mouse using PyAuto GUI for cursor control, clicks, drag, and scrolling via gestures. Implemented a web interface with Flask and added TTS feedback for real-time interaction.
Road Accident Hotspot Detection and Analysis
June 1, 2026 – Present
Designed a data analytics project using Python (Pandas, NumPy, Matplotlib) to analyze real-world datasets, identifying road accident trends based on factors like time, location, weather, and vehicle type. Performed data preprocessing and exploratory data analysis (EDA) to extract insights, applying machine learning and clustering algorithms to detect and predict high-risk accident zones. Delivered analytical models and visualizations that assist authorities and planners in proactive road safety strategies, infrastructure enhancement, and efficient resource allocation.
SheGuard
June 1, 2026 – Present
Built a robust backend using MySQL to store user logs and threat history. Developed a Deep Learning-based women safety app for SIH, integrating real-time face and threat detection using anomaly detection techniques and computer vision. Utilized the layout editor to create a UI for the application to allow different scenes to interact with each other.
Data Analyst Job Simulation
Deloitte
June 1, 2026 – Present
Data Visualization for Businesses
TATA
June 1, 2026 – Present
Software Engineering Job Simulation
JP Morgan
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI/ML to diverse problem domains, including safety, accessibility, and data analysis. This aligns well with an innovative and impact-driven culture. The involvement in extracurricular activities and certifications indicates a proactive learning attitude. However, the experience is primarily academic and internship-based, which might require mentorship in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on real-world problems and collaborate (as seen in the internship description). The participation in TRITHON TRIPLETS suggests teamwork and problem-solving skills. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.