RetailWise - Data-Driven decisions for hassle free stock management
Summary
An AI-driven platform designed to enhance operational efficiency for small grocery retailers through real-time data analysis and route optimization.
Aspiring AI/ML Engineer with a strong academic foundation in Computer Science with AI & Machine Learning (GPA: 8.34) and hands-on experience developing impactful data-driven solutions. Proven ability to architect and implement AI platforms, from natural language processing to computer vision, and optimize operational efficiency for real-world applications. Eager to apply advanced analytical and technical skills to drive innovation and solve complex challenges in a forward-thinking tech organization.
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Bachelor of Technology
Computer Science Engineering with AI & Machine Learning
Grade: 8.34 GPA
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High School Diploma
Higher Secondary School
Grade: 82%
Fluent
Issued By
Issued By
IBM
Issued By
Oracle
Issued By
Coursera
Issued By
Tata Forage
Issued By
Cisco
Python, SQL.
Data Science, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI, AI Model Development, Predictive Modeling, Time-Series Analysis, PyTorch, LSTM.
Data Analysis, Data Visualization, Pandas, NumPy, Power BI, Tableau, Statistical Analysis.
Database Management Systems (DBMS), Database Schema Design, Data Structuring, Data Integration.
OpenCV, Jupyter Notebooks, Git (Implied).
Project Lifecycle Management, Team Coordination, Requirements Gathering, System Design, Solution Architecture.
Hostel Committee Member, Core Member, Inter-University AI Club.
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