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Srishti Dubey

@srishtidubey

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Aspiring AI Developer passionate about leveraging AI in healthcare.

India

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What I'm looking for

Seeking a role in AI and machine learning, preferably in healthcare, where I can contribute to innovative solutions and grow professionally in a collaborative environment.

I am an aspiring AI Developer currently pursuing a B.Tech in Computer Engineering from Smt. Radhikatai Pandav College of Engineering, Nagpur. My academic journey has equipped me with a strong foundation in computer science, and I am eager to apply my skills in real-world scenarios, particularly in the healthcare sector.

Proficient in a range of programming languages and technologies, I have hands-on experience with Python, Java, C++, and various machine learning frameworks such as TensorFlow, Keras, and PyTorch. My experience includes internships at Asterisc Technocrat and Vodafone Idea Foundation, where I worked on data analytics and machine learning projects.

I am passionate about developing innovative solutions, as seen in my project on Facial Emotion Detection using deep learning techniques. I am excited to contribute to impactful projects that combine AI and healthcare to drive meaningful change.

Experience

Work history, roles, and key accomplishments

Data Analytics and Power BI

Vodafone Idea Foundation

Feb 2024 - Mar 2024 (1 month)

Analyzed large datasets to identify trends and patterns, enhancing decision-making processes. Designed and implemented data visualization dashboards, improving data interpretation and quality through effective data cleaning techniques.

Data Analysis Power BI Data Visualization Python Data Cleaning

Data Science Intern

Asterisc Technocrat

Jun 2023 - Jul 2023 (1 month)

Developed a high-accuracy machine learning model using NLP techniques for SMS classification. Deployed a scalable spam detection system, achieving a 95% precision rate in classifying messages.

Machine Learning Natural Language Processing Python Data Classification

Facial Emotions Detection Project

Self-initiated

Developed a model to analyze and classify human emotions through facial expressions using deep learning. Created a user interface for real-time emotion detection from video feeds.

Deep Learning OpenCV TensorFlow Keras Emotion Recognition