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Krishna Thisari No
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Am a highly motivated and detail-oriented professional with a strong background in data analysis, machine learning, and automation, particularly within industrial and agricultural contexts. With hands-on experience in building end-to-end data pipelines, I specialize in transforming raw data into actionable insights through advanced analytics and visualization techniques. My expertise spans across Python programming, TensorFlow/Keras deep learning frameworks, and Power BI dashboard development, enabling me to deliver real-time, user-friendly decision support tools.
I have successfully designed and implemented automated quality assessment systems using convolutional neural networks (CNNs) for agricultural products, such as blue pea flowers, integrating image processing and machine learning to accurately classify and monitor product quality. This work supports both rural farming communities and export companies by enhancing product standards and reducing manual inspection efforts.
In addition to my technical skills, I have collaborated closely with cross-functional teams—including mechanical, electrical, and software engineers—to streamline factory automation and data collection processes. For example, I developed a unified data collection platform using Power Apps and Excel that feeds directly into interactive Power BI dashboards, providing plant managers with real-time energy consumption and operational metrics to drive efficiency improvements.
My approach combines strong analytical skills with clear communication, ensuring complex technical concepts are accessible to diverse audiences. I am committed to continuous learning and innovation, always seeking to leverage technology to solve real-world problems effectively and sustainably.
I have successfully designed and implemented automated quality assessment systems using convolutional neural networks (CNNs) for agricultural products, such as blue pea flowers, integrating image processing and machine learning to accurately classify and monitor product quality. This work supports both rural farming communities and export companies by enhancing product standards and reducing manual inspection efforts.
In addition to my technical skills, I have collaborated closely with cross-functional teams—including mechanical, electrical, and software engineers—to streamline factory automation and data collection processes. For example, I developed a unified data collection platform using Power Apps and Excel that feeds directly into interactive Power BI dashboards, providing plant managers with real-time energy consumption and operational metrics to drive efficiency improvements.
My approach combines strong analytical skills with clear communication, ensuring complex technical concepts are accessible to diverse audiences. I am committed to continuous learning and innovation, always seeking to leverage technology to solve real-world problems effectively and sustainably.
Subjects
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Computer and programming Grade 5-Grade 12
Experience
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Dankotuwa (Nov, 2024–Apr, 2025) at Hemas Consumer Brand
work as intern Engineering
Education
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BSC(Hons) in Computer Science (Jun, 2021–Mar, 2025) from University of Kelaniya
Fee details
රු2,000–5,000/hour (US$6.06–15.15/hour)
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Homagama, Sri Lanka
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Can travel:
2.49 mi (4.0 km)
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- Last login: Aug 11, 2025
- Registered: Jun 15, 2025
- Total Teaching exp: 1.0 yrs.
- Teaches online: Yes
- Online Teaching exp: 0.0 yrs.
- Teaches at student's home: Yes
- Homework Help: Yes
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Gender: Female
- Works as: Individual teacher
- Speaks: English, Sinhala
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Fee:රු2,000–5,000/hour(USD 6.06–15.15/hour)
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