Swetha User
@swethauser2
Data analyst with HR experience skilled in data processing and visualization.
What I'm looking for
I am an enthusiastic Data Analyst with experience in data processing, analysis, and HR operations, combining technical skills with people-focused insights. I have completed a Data Analytics Program and internships where I handled preprocessing, segmentation, feature extraction, and first-level transaction processing.
My projects include early detection of diabetic retinopathy and diabetic macular edema using IDRiD and MESSIDOR datasets, time-series stock price analysis, and a forest-fire prediction model, each demonstrating improved accuracy and actionable insights. I achieved measurable results such as an 85% accuracy on a Twitter sentiment analysis task and models that aided decision-making.
I am proficient in Python, SQL, Tableau, Power BI, Excel, and data-cleaning and visualization libraries; I bring strong problem-solving, communication, and adaptability to roles that blend data analysis with operational impact.
Experience
Work history, roles, and key accomplishments
Human Resource
LiveConnections
Jul 2024 - Present (1 year 2 months)
Managed HR systems and compliance while supporting data-driven process improvements and first-level data entry and query management to ensure quality requirements.
Data Analyst Intern
Gillbert Research Center
Mar 2024 - Jun 2024 (3 months)
Performed data processing and first-level transaction processing for research projects, contributed to early-detection ML work on medical imaging datasets and improved model accuracy and F1 scores.
Education
Degrees, certifications, and relevant coursework
Great Learning Academy
Certificate, Data Analytics
2022 - 2023
Completed a Data Analytics program covering data processing, visualization, and machine learning from Dec 2022 to Aug 2023.
Panimalar Engineering College
Bachelor of Engineering, Computer Science and Engineering
2017 - 2020
Grade: 73%
Activities and societies: Worked on early detection of diabetic retinopathy and diabetic macular edema using IDRiD and MESSIDOR datasets; preprocessing, blood vessel segmentation, feature extraction, and classification.
Bachelor of Computer Science and Engineering with coursework and projects focused on data analysis and machine learning; graduated with a GPA of 73%.
Panimalar Polytechnic College
Diploma
2014 - 2017
Grade: 94%
Diploma in a relevant engineering discipline with strong academic performance; graduated with a GPA of 94%.
Availability
Location
Authorized to work in
Job categories
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