Sujan Hasan Sk
@sujanhasansk
Recent Electrical Engineering graduate passionate about data analysis.
What I'm looking for
I'm Sujan Hasan, a recent graduate in Electrical Engineering with a strong foundation in data analysis and problem-solving. My academic journey has equipped me with proficiency in SQL, Python, and Excel, enabling me to extract insights and optimize processes effectively. I am eager to leverage my analytical skills to support data-driven decision-making and contribute to impactful projects.
During my time as an Administrative Assistant, I managed data using Microsoft Excel and honed my organizational skills to maintain workflow efficiency. Additionally, I developed a sentiment analysis model that utilized machine learning techniques to classify tweets, showcasing my ability to apply theoretical knowledge to real-world challenges. I am passionate about using data to solve problems and am excited about opportunities in the field of data analysis.
Experience
Work history, roles, and key accomplishments
Administrative Assistant
Sonarpur
Feb 2024 - Mar 2024 (1 month)
Managed data using Microsoft Excel and performed various administrative tasks to support day-to-day operations. Gained experience in organizing data and maintaining workflow efficiency.
Data Analyst Project
Self-Directed
Nov 2023 - Dec 2023 (1 month)
Built a machine learning model to classify tweets into positive, negative, or neutral sentiments using NLP techniques. Applied text preprocessing and trained models to improve classification accuracy.
Education
Degrees, certifications, and relevant coursework
Netaji Subhash Engineering College
Bachelor of Technology, Electrical Engineering
2021 - 2025
Grade: 7.143
Pursued a B.Tech in Electrical Engineering, focusing on data analysis, problem-solving, and technical skills. Developed proficiency in SQL, Python, and Excel through academic projects and coursework.
Khariberiya Vivekananda Vidyapith
Higher Secondary Examination, Science
2017 - 2019
Grade: 66.2
Completed Higher Secondary Examination with a focus on science subjects, achieving a grade of 66.2%. Developed foundational knowledge in analytical and technical skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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