Apoorva SharmaAS
Open to opportunities

Apoorva Sharma

@apoorvasharma

Highly motivated AI specialist with expertise in problem-solving.

India

What I'm looking for

I am looking for a role that challenges me and fosters innovation in AI.

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

CU
Current

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.

CU

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.

CU

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.

CU

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 logoCU

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.

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