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AI Engineer with less than a year in AI/ML projects and data visualization.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science postgraduate with strong academic background and hands-on experience in Al/ML projects. Skilled in Python, R, Tableau, and Power BI with internship experience in Al model development. Passionate about deriving insights from data and delivering impactful business solutions.
B.K. Birla College (Mumbai University)
M.Sc. · Data Science & Big Data Analytics
August 1, 2023 – June 30, 2025
Smt. C.H.M. College (Mumbai University)
B.Sc. · Computer Science
August 1, 2020 – June 30, 2023
B.A. Talreja College
Higher Secondary Certificate · HSC
June 1, 2020 – May 31, 2020
S.I.C.E.S. High School
Secondary School Certificate · SSC
June 1, 2018 – May 31, 2018
Smartinternz
Artificial Intelligence Developer Intern
March 1, 2024 – May 1, 2024
India
SmartCap: AI-Based Image Caption Generator
March 1, 2025 – Present
• Developed a deep learning model using CNN and LSTM architectures to generate accurate and contextual image captions.
SuperStore Sales Dashboard
January 1, 2025 – Present
• Designed interactive dashboards in Tableau and Power BI to visualize sales trends and identify key revenue drivers.
Uber & Lyft Price Prediction
December 1, 2024 – Present
• Performed exploratory data analysis and applied Logistic Regression and Decision Tree Classifier to predict ride prices.
Neural Networks Ahoy: Ship Classification
May 1, 2024 – Present
• Trained a VGG16-based ML model to classify ships with improved accuracy for maritime applications.
Deep Learning
L&T; Edutech
January 1, 2025 – Present
Practical Approach to Data Mining & Analytics
TCS ION
January 1, 2024 – Present
Machine Learning
L&T; Edutech
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within AI/ML, including image captioning, ship classification, and price prediction, indicating a broad interest and adaptability. The target role of 'AI Engineer' aligns well with the candidate's educational background, internship, and project experience. The certifications in Deep Learning, Machine Learning, and Data Mining further support a strong commitment to the field. The academic nature of all projects, however, suggests limited exposure to real-world, collaborative, or production-level environments, which might require a period of adjustment to a professional team culture.
Soft Skills & Operational Fit
The candidate's resume highlights a passion for deriving insights from data and delivering impactful business solutions, suggesting a results-oriented mindset. The academic projects demonstrate problem-solving abilities and a structured approach to AI/ML tasks. However, without specific psychometric test results or interview data, it is difficult to assess stress handling, team collaboration, or other soft skills comprehensively.