AI/ML Engineer with less than a year in Computer Vision & Data-driven Dashboards
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Data Scientist skilled in Python, SQL, Power BI, and Machine Learning with experience in building end-to-end ML models and data-driven dashboards. Proficient in data cleaning, EDA, visualization, and predictive modeling.
Rajasthan Technical University
B.Tech · Electrical Engineering
August 1, 2017 – October 1, 2021
Luminoid Technologies Private Limited
AI/ML Trainee
November 1, 2025 – Present
Pune, Maharashtra, India
Zomato Insights Dashboard
June 5, 2026 – Present
Built an interactive dashboard providing actionable insights into restaurant ratings, pricing, and customer trends. Performed data cleaning, transformation, and modeling for accurate reporting. Created KPI-based visualizations to support business decision-making. Used SQL for data extraction and analysis to improve reporting efficiency. Identified key business insights and trends through exploratory data analysis (EDA) to support strategic decision-making.
View ProjectMango Fruit Detection & Counting
June 5, 2026 – Present
Developed a YOLO-based real-time object detection model for fruit classification and counting. Designed preprocessing pipelines including annotation, augmentation, and normalization. Optimized performance using hyperparameter tuning and evaluation metrics (accuracy, precision, recall). Built an end-to-end ML pipeline from data collection to validation and testing. Integrated the model with real-time data processing pipelines to enable efficient and automated fruit monitoring.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a practical application of AI/ML skills, aligning well with a role that requires hands-on development. The 'Mango Fruit Detection' project shows initiative in a niche application of computer vision, while the 'Zomato Insights Dashboard' indicates an ability to work with business data and create actionable insights. The current 'AI/ML Trainee' role, although recent, directly aligns with the target role. The breadth of skills covers both ML engineering and data analysis, suggesting adaptability. However, the experience level is very low, which might impact cultural fit in a senior role requiring extensive collaboration and mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical, problem-solving tasks. The focus on end-to-end ML pipelines suggests a structured approach to development. However, without specific psychometric or English test scores, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what's inferred from the resume's content quality.