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@yagnyanggurjar
Analytical computer science student applying data-driven solutions to solve business problems.
I am an analytical and results-driven computer science student focused on applying data-driven frameworks to address business and operational challenges.
I have built practical machine learning and visualization projects — including a Fake News Classifier with 92% accuracy, a CNN-based digit recognizer with 98% validation accuracy, and an Algorithm Visualizer used by 200+ peers — demonstrating my ability to convert complex analytics into actionable insights.
I am comfortable with Python, SQL, Power BI, C++, TensorFlow, and Scikit-learn, and I leverage tools such as Docker and GitHub to support reproducible development and deployment.
I communicate technical ideas clearly, collaborate effectively on teams, and aim to drive digital transformation through data-informed decision-making and efficient automation.
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Work history, roles, and key accomplishments
Shivajirao Kadam Institute of Technology and Management
Jul 2025 - Aug 2025 (1 month)
Developed and deployed a CNN for handwritten digit recognition with 98% validation accuracy, automating classification and reducing manual analysis time by 80%.
Shivajirao Kadam Institute of Technology and Management
Feb 2025 - Jul 2025 (5 months)
Engineered a fake news classification model achieving 92% accuracy on 50K+ articles and designed an end-user tool with sub-second prediction latency to support content-moderation decisions.
Shivajirao Kadam Institute of Technology and Management
Aug 2024 - May 2025 (9 months)
Created an interactive algorithm visualization tool that improved algorithm comprehension by 35% for 200+ users and demonstrated structured problem-solving and solution design.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: 7.51 CGPA
Activities and societies: Projects: Algorithm Visualizer, Fake News Classifier, Handwritten Digit Recognition; college hackathon poster design and technical presentations.
Pursuing B. Tech in Computer Science and Engineering with coursework in Data Structures and Algorithms, Machine Learning, Data Analytics, DBMS, and Power BI; achieved CGPA 7.51.
Software and tools used professionally
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