Rajasekhar Reddy User
@rajasekharreddyuser
Passionate Data Scientist with ML expertise
What I'm looking for
I am a passionate Data Scientist with expertise in Machine Learning, Deep Learning, Natural Language Processing, Transformers, and Large Language Models. I have a strong interest in reading research papers to stay updated with advancements and apply innovative solutions in data science for impactful industry applications.
With a solid educational background in Computer Science, I have developed a strong foundation in programming languages such as Python, C/C++, and SQL. I am skilled in deriving in-depth intuition behind algorithms and solving complex challenges. My experience as a Data Analyst Intern at WNS Global Service has given me hands-on experience in analyzing and interpreting complex data to drive business decisions.
I have worked on various projects, including AI-powered blog content generation, churn prediction using deep learning, and student score prediction using machine learning. I am proficient in using tools such as Flask, Streamlit, and GitHub, and have a strong understanding of computer subjects such as Data Structures and Algorithms, Database Management Systems, and Statistics for Data Science and Machine Learning.
Experience
Work history, roles, and key accomplishments
Data Analyst
WNS Global Service
Apr 2023 - Oct 2023 (6 months)
Analyzed complex data to drive business decisions using tools like Excel, Power BI, and Python libraries
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science
2020 - 2024
Grade: 7.68
Pursued a Bachelor of Engineering in Computer Science, focusing on various aspects of computer science and engineering principles. Developed a strong foundation in programming, algorithms, and data structures, while also engaging in practical projects to apply theoretical knowledge.
Sri Chaitanya Junior College
Intermediate, Intermediate
2018 - 2020
Grade: 94.9%
Completed Intermediate education with a strong emphasis on science and mathematics. Achieved high scores in relevant subjects, preparing for further studies in engineering and technology.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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