
AI Engineer with less than a year in Machine Learning & Data Science
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Assessing your cultural and operational fit
Highly motivated and results-oriented M.C.A. graduate with 8 months of hands-on experience in Artificial Intelligence, Machine Learning, and Data Science. Proven ability in developing learning models, analyzing real-time data, and building applications using Python, Java, and SQL. Eager to apply acquired skills in a dynamic technical environment.
SIES College of Management Studies
M.C.A. - Computer Applications · Computer Applications
August 1, 2023 – June 30, 2025
Western College of Commerce and Business Management, Navi Mumbai
B.Sc. - Information Technology · Information Technology
August 1, 2019 – June 30, 2022
D Y Patil Jr. College
12th · MSBSHSE
June 1, 2019 – May 31, 2019
Vivekanand Sankul Sanpada
10th · MSBSHSE
June 1, 2017 – May 31, 2017
Reliance Retail
Application Support Engineer
November 10, 2025 – February 6, 2026
India
Ardent Computech Pvt.Ltd.
Artificial Intelligence, Machine Learning, Data Science
February 1, 2025 – June 20, 2025
India
Analyze Youtube Streams using Live API
April 8, 2025 – June 28, 2025
A real-time dashboard that analyzes YouTube live chat and video comments using NLP to detect sentiment, emotions, and audience engagement.
Weather Forecast Prediction
March 9, 2025 – May 3, 2025
Developed a learning model to predict multiple weather conditions like Sunny, Rainy, and Cloudy using historical weather data
Healthcare Bot
September 9, 2024 – December 2, 2024
A healthcare bot to provide medical information and schedule appointments.
Face Recognition -Attendance System Management
March 4, 2024 – June 28, 2024
It is a platform for tracking attendance using facial recognition technology.
Online Shopping Portal
November 7, 2021 – March 21, 2022
Web Platform for Browsing and Purchasing Products.
NPTEL Online Certification
NPTEL
January 1, 2024 – Present
Full Stack Java Training
CNC Web World
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including NLP, predictive modeling, and facial recognition, shows a broad interest in AI applications. The internships, while entry-level, demonstrate a willingness to gain practical experience. The pursuit of a Master's degree and certifications indicates a proactive approach to learning and skill development. However, the experience level is not aligned with a senior role, which might impact cultural fit in a high-autonomy, decision-making capacity.
Soft Skills & Operational Fit
The candidate's resume indicates participation in team projects, suggesting an ability to collaborate. The Application Support Engineer internship, though L1, implies some exposure to user interaction and problem-solving. However, there is insufficient data to assess specific soft skills like leadership, conflict resolution, or advanced communication in a professional setting. Operational fit for a senior AI Engineer role is limited given the entry-level experience.