Open to opportunities

MMA User

@mmauser

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Data science and AI enthusiast skilled in predictive modeling.

India

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What I'm looking for

I am looking for a role that allows me to apply my data science skills in a collaborative environment, focusing on innovative projects that drive impactful results.

I am a data science and AI enthusiast with a strong foundation in computational methods and statistical modeling. My journey began during my B.Tech in Computer Science, where I developed a keen interest in data analytics and machine learning. I have honed my skills through internships and projects, focusing on applying theoretical knowledge to practical scenarios.

During my internship at Oasis Infobyte, I conducted large-scale data analysis using tools like MS-Excel, NumPy, and Pandas. I developed interactive visualizations with Matplotlib and Seaborn, which facilitated pattern recognition and enhanced decision-making. My projects, including predictive analytics frameworks for house price valuation and AI-driven classification models, demonstrate my ability to leverage machine learning techniques for real-world applications.

I am passionate about using data to drive insights and improve processes. I continuously seek opportunities to expand my expertise in data science and machine learning, aiming to contribute to innovative solutions that optimize intelligence and efficiency.

Experience

Work history, roles, and key accomplishments

Current

Speech Emotion and Gender Recognition System Developer

Current

Self Employed

Oct 2023 - Present (1 year 7 months)

Architected a deep learning pipeline incorporating CNN, RNN, and CRNN for speech-based sentiment and gender classification. Enhanced model precision through iterative training on diverse linguistic datasets.

Deep Learning CNN RNN TensorFlow Model Training Data Analysis Neural Networks

Data Analytics Intern

Oasis Infobyte

Aug 2023 - Sep 2023 (1 month)

Conducted large-scale data analysis using MS-Excel, NumPy, and Pandas to derive meaningful statistical insights. Developed interactive data visualizations with Matplotlib and Seaborn, and engineered machine learning models for predictive analytics, optimizing algorithmic accuracy.