Mirza Abrar Ahmed Baig
@mirzaabrarahmedbaig
Data Science and Machine Learning Analyst with strong programming skills.
What I'm looking for
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
Data Science & Machine Learning Analyst
Cyient, Ltd.
Dec 2023 - Mar 2024 (3 months)
Worked on implementing unsupervised machine learning techniques for time series anomaly detection and data wrangling for trading data. Presented findings to senior leadership and created executive summaries detailing strategies for client engagement.
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
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.
Narayana College
Higher Secondary Education, Science
2018 - 2020
Grade: 92%
Completed Science stream with a cumulative percentage of 92%, focusing on foundational scientific principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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