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AI Engineer with less than a year in Data Science, ML & Computer Vision
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Assessing your cultural and operational fit
Data Science graduate with a proven track record of architecting AI/ML and computer vision solutions that transform complex datasets into actionable business intelligence. Experienced in streamlining data validation workflows and fortifying IT infrastructure to ensure maximum system reliability and data integrity. Proficient in leveraging Python, SQL, and advanced visualization tools to deconstruct behavioral patterns and drive evidence-based decision-making.
Usha Mittal Institute of Technology - SNDT University, Mumbai
Bachelor of Technology · Data Science
N/A – June 30, 2025
Go To University
Program Content Executive Trainee
September 1, 2025 – January 31, 2026
India
Usha Mittal Institute of Technology
IT Infrastructure Intern
January 1, 2025 – March 31, 2025
India
Data Analysis with Visualization using Python
May 1, 2025 – June 1, 2026
Deconstructed hotel booking data in Python to uncover seasonal trends that informed demand insights and improved forecasting accuracy. Engineered EDA visualizations to identify booking patterns and support data-driven decision-making.
Data Visualization using Tableau and Power BI
May 1, 2025 – June 1, 2026
Architected and scaled Tableau/Power BI dashboards from large music datasets to identify actionable consumer trends. Analyzed and visualized behavioral patterns in streaming data to support evidence-based business decision-making.
Virtual Try On
May 1, 2025 – June 1, 2026
Engineered an end-to-end computer vision-based virtual try-on system for cosmetics, jewelry, and apparel, optimizing model performance through iterative testing on Indian wear datasets. Designed, trained, and evaluated CV models for realistic virtual trials, earning IEEE and Aavishkaar innovation certifications for technical impact.
Aavishkaar innovation certifications
Aavishkaar
June 1, 2026 – Present
Virtual Try-On research paper
Aavishkaar
June 1, 2026 – Present
Virtual Try-On research paper
IEEE
June 1, 2026 – Present
IEEE
IEEE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying new technologies. Involvement in the ACM-W Student Chapter indicates teamwork and leadership potential. The diversity of projects, from data analysis to computer vision, suggests adaptability and a broad interest in AI applications. However, the experience is primarily academic and internship-based, which might require some ramp-up in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate an ability to work on end-to-end solutions and optimize processes. The 'Program Content Executive Trainee' role suggests an understanding of data pipelines and validation, which are critical for operationalizing AI models. The 'IT Infrastructure Intern' role shows problem-solving and system monitoring skills, which are beneficial for maintaining AI systems.