Expert
SANTOSH SAHOO
Certified Data Scientist/Foundation With 4 Years Of Experience In IT Industry
Bengaluru
Summary
ML Developer building production-level Machine learning, Deep learning, Computer vision, and NLP solutions from client requirements. Develops models in Python using Scikit-Learn, TensorFlow, Keras, and OpenCV, with Feature engineering, Exploratory Data Analysis (EDA) , and hyperparameter tuning across regression, classification, and ensemble methods. Led a rice leaf disease CNN project that reached 99.78% training accuracy and 97.35% validation accuracy.
The model which our team will achieve we create a highest accuracy in my organisation.
Overview
3
3
Languages
3
3
Certifications
9
9
years of professional experience
Work History
ML Developer
Rubixe Pvt. Ltd
Bengaluru
01.2019 - Current
- Developed production-level projects addressing machine learning, deep learning, computer vision, and NLP requirements.
- Configured user-friendly automation solutions based on solution design documents.
- Designed rapid automation process solutions for organizations, adhering to standard design principles and conventions.
- 1) Project: Rice Leaf Disease using CNN
- Role: ML Developer
- Tools & Technologies Python, Pandas, Numpy, Scikit-Learn, Random Forest Regressor, XGB Classifier, Bagging, Ensemble Methods
- Description: The dataset contains images of rice leaf. There are three classes/diseases: Bacterial leaf blight, Brown spot, and Leaf smut.
- Responsibilities:
- Led a team to oversee project tasks and ensure timely completion.
- The rice leaf suffers from several bacterial, viral, or fungal diseases and these diseases reduce rice production significantly.
- To sustain rice demand for a vast population globally, the recognition of rice leaf diseases is crucially important.
- Using a novel dataset of 4199 rice leaf disease images, a number of CNN-based models are trained to identify five common rice leaf diseases. The proposed model achieves the highest training accuracy of 99.78% and validation accuracy of 97.35%.
- Besides that, binary classification experiments have been carried out and our proposed model achieves recognition rates of 97%, 96%, 96%, 93%, and 95% for Blast, Brownspot, Bacterial Leaf Blight, Sheath Blight and Tungro, respectively.
- These results demonstrate the effectiveness and superiority of our approach in comparison to the state-of-the-art CNN-based rice leaf disease recognition models.
AI and LLM
DataMites
Bengaluru
08.2023 - 07.2026
- Self-motivated, with a strong sense of personal responsibility.
- Worked effectively in fast-paced environments.
- Skilled at working independently and collaboratively in a team environment.
- Proven ability to learn quickly and adapt to new situations.
Data Scientist, AI Developer
Capgemini Service India Pvt LTd
Bengaluru
07.2021 - 06.2023
- Developed predictive models using machine learning algorithms to enhance decision-making processes.
- Analyzed large datasets to extract actionable insights, improving project outcomes and client satisfaction.
- Collaborated with cross-functional teams to define data requirements and establish best practices for analysis.
- Automated data processing workflows, reducing manual effort and increasing efficiency across projects.
Listing and Catalog Management
Aegis Pvt. Ltd.
Bengaluru
01.2018 - 01.2019
- Quickly grasped as Senior Executive Solving Listing Related problems and promoting, Digital Continuous Improvement Tool.
- Enhanced business operations by implementing innovative ideas.
- Upgraded business intelligence tool to streamline listing and catalog management.
- Also helps to gain knowledge in the field of Business development.
- Moved into the field of Data Science using Python programming & worked on many Data Science projects
Education
B.Sc. Honours - Botany
University of Delhi
Delhi, India01-2019
CERTIFIED DATA SCIENTIST BY IABAC - DS/AI Certified
Certified Data Scientist , Data Science Foundation
IABAC 04.2001 -
Skills
Python
Scikit Learn
Tensorflow
OpenCV
MySQL
PyTorch
Feature engineering
Model evaluation
Hyperparameter tuning
Regression models
Affiliations
- Member, Association for the Advancement of Artificial Intelligence (AAAI) | 2024 – Present
- Active Contributor, LF AI & Data Foundation | 2025 – Present
- Competitor (Expert Tier), Kaggle Machine Learning Community | 2023 – Present
Software
Certification
Certification in Certified DataScience course using Python-2020
Interests
Attended hands-on data science workshop by IABAC, Work on different Kaggle datasets & read Tech blogs, Reading Motivational Autobiography , Cricket, Music enthusiast, Reading Religious Book
Timeline
AI and LLM
DataMites
08.2023 - 07.2026
Data Scientist, AI Developer
Capgemini Service India Pvt LTd
07.2021 - 06.2023
ML Developer
Rubixe Pvt. Ltd
01.2019 - Current
Listing and Catalog Management
Aegis Pvt. Ltd.
01.2018 - 01.2019
CERTIFIED DATA SCIENTIST BY IABAC - DS/AI Certified
Certified Data Scientist , Data Science Foundation
04.2001 -
B.Sc. Honours - Botany
University of Delhi
HOBBIES & ACTIVITIES
Attended hands-on data science workshop by IABAC