Apoorva Sharma
@apoorvasharma
Highly motivated AI specialist with expertise in problem-solving.
What I'm looking for
I am an AI specialist with a strong foundation in problem-solving and advanced mathematics. My journey in technology began with a Bachelor of Engineering in Computer Science from Chandigarh University, where I honed my skills in building scalable machine learning models and designing algorithms to tackle real-world challenges. My passion for AI drives me to continuously seek innovative solutions, and I have successfully implemented various projects that demonstrate my ability to leverage data analysis and optimization techniques.
Throughout my academic career, I have developed optimization algorithms that improved efficiency in supply chain management by 25% and designed a fraud detection model with an impressive accuracy of 95%. My projects also include predictive analytics in healthcare, where I achieved over 90% forecast accuracy. I am proficient in using Python, TensorFlow, and other AI frameworks, and I am committed to advancing AI innovations that can make a significant impact in various sectors.
Experience
Work history, roles, and key accomplishments
NIST Security Matrix
Chandigarh University
Mar 2024 - Present (1 year 3 months)
Created a NIST-aligned security matrix for healthcare information systems, ensuring HIPAA compliance and integrating cybersecurity practices with machine learning models.
Brightspark Web Platform
Brightspark
Jun 2020 - Present (5 years)
Produced educational content and project summaries for AI and cybersecurity courses while developing a robust UI/UX experience that improved user engagement by 50%.
Optimization Algorithms for Complex Systems
Chandigarh University
Oct 2023 - Nov 2023 (1 month)
Developed optimization algorithms to solve resource allocation problems in supply chain management, improving efficiency by 25%. Implemented solutions using Python libraries.
AI Model for Healthcare Risk Prediction
Chandigarh University
Oct 2023 - Oct 2023 (0 months)
Developed a machine learning model using patient data to predict health risks with an accuracy of 92%. Implemented data preprocessing pipelines and utilized Python and TensorFlow.
AI Model for Fraud Detection
Chandigarh University
Aug 2023 - Sep 2023 (1 month)
Designed and trained a machine learning model to identify fraudulent activities with an accuracy of 95%. Utilized advanced feature selection methods and collaborated with domain experts to refine datasets.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science
2021 - 2025
Pursuing a Bachelor of Engineering in Computer Science, focusing on advanced mathematics and AI model training. Engaged in key projects such as developing optimization algorithms for resource allocation and designing machine learning models for fraud detection.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Skills
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