Mirza Abrar Ahmed BaigMB
Open to opportunities

Mirza Abrar Ahmed Baig

@mirzaabrarahmedbaig

Data Science and Machine Learning Analyst with strong programming skills.

India

What I'm looking for

I seek a dynamic role in data science where I can apply my analytical skills and contribute to innovative projects.

I am a passionate Data Science and Machine Learning Analyst with a solid foundation in computer science and hands-on experience in implementing machine learning techniques. My recent role at Cyient, Ltd. allowed me to utilize Python for unsupervised machine learning, significantly improving process efficiency by 20% while working with large datasets. I thrive on challenges and enjoy transforming complex data into actionable insights.

In my previous position as a Junior Data Scientist at Basavatarakam Indo-American Cancer Hospital, I honed my skills in data preprocessing and statistical analysis, contributing to cancer research. My ability to develop predictive models and create data visualizations has been instrumental in assisting researchers in understanding intricate datasets. I am committed to leveraging my expertise to drive impactful data-driven decisions.

Experience

Work history, roles, and key accomplishments

BI

Junior Data Scientist

Basavatarakam IndoAmerican Cancer Hospital & Research Instit

May 2023 - Jul 2023 (2 months)

Collected and preprocessed clinical and genomic datasets for cancer research. Developed predictive models and visualizations to assist in analyzing patient outcomes and treatment responses.

Education

Degrees, certifications, and relevant coursework

Osmania University logoOU

Osmania University

Bachelor of Engineering, Computer Science

2020 - 2024

Grade: 7.06/10

Pursued a Bachelor's of Engineering in Computer Science with a focus on Machine Learning, Data Science Statistics, Big Data Analytics, and Probability & Discrete Mathematics.

NC

Narayana College

Higher Secondary Education, Science

2018 - 2020

Grade: 92%

Completed Science stream with a cumulative percentage of 92%, focusing on foundational scientific principles.

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