I am a results-driven aspiring Data Analyst specializing in Artificial Intelligence and Machine Learning, with a strong passion for building innovative solutions.
As a Smart India Hackathon winner and Larsen & Toubro Ha…
I am a results-driven aspiring Data Analyst specializing in Artificial Intelligence and Machine Learning, with a strong passion for building innovative solutions.
As a Smart India Hackathon winner and Larsen & Toubro Hackathon finalist, I have demonstrated my ability to tackle real-world challenges with technical expertise and a creative mindset.
With experience in full-stack development, data visualization, and machine learning, I have developed scalable solutions, interactive dashboards, and impactful prototypes that address critical real world problems. My skill set includes Python, SQL, Power BI, MongoDB, advanced Excel, NLP, coupled with a knack for problem-solving and collaboration.
Whether it's creating user-centric mobile applications, optimizing HR analytics, or developing personal finance dashboards, I thrive in leveraging technology to make a measurable impact.
💡Let's connect to discuss how my skills and experiences can contribute to your team’s success!
Addressed Government of Gujarat’s problem statement (PS Code: SIH1363) on self-identifying mental health status and providing guidance
Developed a mobile app prototype within a 36-hour hackathon, setting the solution apart from competitors
Led the transformation of the idea into a viable business model, ensuring scalability and user-centric functionality
Won 1st place among 500 teams, receiving a 1 lakh prize
Co-led the Text-to-Speech and Speech Recognition project module
Developed and enhanced full-stack applications using cutting-edge technologies
Collaborated with a cross-functional team to deliver efficient solutions for real-world problems
Received a Letter of Recommendation for outstanding performance
Received a certificate for successful completion
Co-lead for the Text-to-Speech and Speech Recognition project module. Developed and enhanced full-stack applications using cutting-edge technologies, collaborated with a cross-functional team to deliver efficient solutions for real-world problems.
Developed a solution for predicting and restoring partially visible text in scanned and printed documents
Implemented image pre-processing techniques using truncated thresholding to enhance clarity
Utilized Easy OCR and Tesseract for text extraction, cross-referencing results with a database for accuracy
Applied NLP models for intelligent text prediction and restoration
Created a reliable system to recover obscured text, enabling efficient data retrieval from degraded documents
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