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Tirunelveli
Snehaa D

Snehaa D

Analytics,Data Annotator,Roboflow,Data Entry

Technology / Internet

Tirunelveli, Tirunelveli

Social


Services offered

I am a Data Science professional with a Master’s degree in Data Science. I help businesses transform raw data into actionable insights through data analysis, machine learning, and visualization. My expertise includes Python, SQL, Power BI, Excel, and Computer Vision (YOLO-based object detection). I have hands-on experience in data cleaning, exploratory data analysis (EDA), statistical modeling, and dashboard development to support strategic decision-making. In addition, I provide high-quality Image Annotation and Data Entry services with strong attention to detail and accuracy. I am experienced in labeling, object detection annotation, dataset preparation, and maintaining data quality standards. I also have knowledge of Digital Marketing and WordPress website management, including basic SEO and analytics, allowing me to combine technical insights with marketing performance optimization. ✔ Data Analysis & Visualization
✔ Machine Learning & Computer Vision
✔ Image Annotation & Labeling
✔ Power BI Dashboards
✔ Data Entry & Excel Tasks
✔ Digital Marketing Support
I am committed to delivering accurate, timely, and high-quality work. Let’s collaborate to bring value to your project.

Approximate rate: USD$ 10 per hour

Experience

Data Science graduate with hands-on experience in Python, SQL, and data visualization tools such as Power BI and Excel. Completed a Data Science internship at Andum Technologies where I worked on computer vision projects using YOLO models for plant species detection. Experienced in dataset preparation, model training, and evaluation using tools like Google Colab and Anaconda. Additionally, I have worked on projects including real-time road hazard detection and AI-based retail analytics. I also have basic knowledge of digital marketing and experience managing a WordPress website.

Education

Master of Science in Data Science from St. Xavier’s College (CGPA: 8.6), with strong academic training in data analysis, machine learning, and visualization techniques. Previously completed a Bachelor of Science in Computer Science from Sarah Tucker College (CGPA: 8.3). Academic projects include deep learning models using YOLO for computer vision applications and interactive Power BI dashboards for data analysis such as COVID-19 trends and sales performance analytics.

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