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Yagnyang Gurjar

@yagnyanggurjar

Analytical computer science student applying data-driven solutions to solve business problems.

Zimbabwe
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What I'm looking for

I seek entry-level roles where I can apply machine learning and analytics to real-world problems, collaborate in cross-functional teams, and grow technical skills in deployment and data-driven decision-making.

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.

Experience

Work history, roles, and key accomplishments

SM

Python Developer

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.

SM

Algorithm Visualizer Developer

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.

Education

Degrees, certifications, and relevant coursework

SM

Shivajirao Kadam Institute of Technology and Management

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.

Tech stack

Software and tools used professionally

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