Rahul Maddali
@rahulmaddali
Aspiring data scientist with a strong foundation in machine learning.
What I'm looking for
I am a dedicated B. Tech. student in Computer Science and Engineering with a specialization in Data Science, currently studying at Vellore Institute of Technology. My academic journey has equipped me with a solid understanding of data structures, algorithms, and machine learning techniques, reflected in my CGPA of 8.3. I have actively engaged in various extracurricular activities, including being a core member of Sigma-Xi: The Scientific Research Society, where I contribute to scientific research initiatives.
During my internship at SUB-K, I evaluated a machine learning tool to predict credit risk for loan applicants, achieving an impressive accuracy of 98%. My experience includes conducting data-driven analyses and working with unstructured data to enhance model training. I am proficient in Python and key data science libraries such as NumPy, Pandas, and Scikit-learn, which I utilized for risk analysis and automation tasks.
In addition to my internship, I have worked on several projects, including an autism detection framework and a malware detection system, both achieving high accuracy rates. I am passionate about leveraging my skills in machine learning and software development to create impactful solutions and am eager to contribute to innovative projects in the tech industry.
Experience
Work history, roles, and key accomplishments
Data Science Intern
SUB-K
Aug 2023 - Present (2 years 1 month)
Evaluated a machine learning tool to predict credit risk for loan applicants, achieving an accuracy of 98%. Additionally, conducted data-driven analysis to assess customer risk levels using clustering and worked on Postman automation.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
B. Tech. in Computer Science and Engineering, Computer Science and Engineering, Spl. in Data Science
2021 -
Grade: 8.3 CGPA
Activities and societies: Outreach Volunteer - Anti-Drug Club, VIT (2024); Core Member - Sigma-Xi: The Scientific Research Society, VIT (2022); Core Member - Fitness N Beyond, VIT (2021).
Pursued a Bachelor of Technology in Computer Science and Engineering with a specialization in Data Science. Relevant coursework included Data Structures and Algorithms, Database Management, Predictive Analysis, Artificial Intelligence, Machine Learning, Deep Learning, Software Engineering, and Data Mining.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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