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@sumansekharmeher
Recent Data Science postgraduate with hands-on experience in analytics.
I am a recent postgraduate in Data Science with a strong foundation in data analysis, machine learning, and dashboarding. My academic journey has been marked by a published IEEE research paper on predictive maintenance using IoT and neural networks, showcasing my ability to merge theoretical knowledge with practical applications. I am proficient in Python, SQL, and Power BI, and I have a keen interest in delivering insights through compelling visuals.
Throughout my internships, I have applied complete data analysis workflows, including data cleaning, exploratory data analysis, and feature engineering. I have worked on significant projects like Customer Churn Prediction and Student Performance Analysis, which have strengthened my understanding of data-driven decision-making processes. I am passionate about building user-centric data products that integrate analytics, AI, and creative design thinking, and I continuously seek opportunities to enhance my skills and contribute to impactful projects.
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Work history, roles, and key accomplishments
Freelance
Oct 2024 - Present (1 year 1 month)
Currently focusing full-time on upskilling, developing real-world data projects, and freelancing. I am also developing an enhanced version of my published IEEE research paper.
Unspecified Company
Jul 2023 - Aug 2023 (1 month)
Applied complete data analysis workflows, including data cleaning, EDA, and feature engineering to uncover insights. Worked on projects such as Customer Churn Prediction and Student Performance Analysis, strengthening understanding of data-driven decision-making processes.
Unspecified Company
Nov 2022 - Jan 2023 (2 months)
Completed a structured internship focused on Python-based data science. Worked on supervised and unsupervised ML algorithms like Linear Regression, K-Means, and Decision Trees, performing data wrangling, EDA, and visualizations using libraries like Pandas, Matplotlib, and Seaborn.
Degrees, certifications, and relevant coursework
Master of Science, Data Science
Grade: 7.65 CGPA
Completed a Master of Science in Data Science, focusing on advanced data analysis, machine learning, and real-world dashboarding. Achieved a CGPA of 7.65.
Bachelor of Technology, Computer Science and Engineering
Grade: 7.85 CGPA
Obtained a Bachelor of Technology in Computer Science and Engineering, gaining foundational knowledge in computing principles. Achieved a CGPA of 7.85.
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