Nitin Kailas Kharade
About Candidate
I am a highly accomplished Data Scientist with a proven track record of over three years in developing and implementing cutting-edge AI solutions in the healthcare and agriculture sectors. During my tenure at SSP Technology Pvt. Ltd., I took charge of leveraging machine learning, deep learning, and natural language processing to deliver highly impactful results.
Key Achievements:
• Health Prognosis Project: I spearheaded an innovative initiative to detect fungal diseases, predict heart attack risks, and forecast diabetes using logistic regression and neural networks. Additionally, I engineered an NLP chatbot to elevate patient interactions and enhance the overall customer experience, ensuring the highest standards of data privacy and regulatory compliance.
• Farmer’s Buddy Project: I accurately predicted optimal crops for specific regions by meticulously analyzing historical data, weather conditions, and soil health. Implementing CNN and ANN models for crop disease detection, I significantly augmented crop yield and empowered farmers’ decision-making processes.
• Technical Expertise: I am highly proficient in Python, TensorFlow, Keras, MySQL, Docker, Kubernetes, and AWS. I excel in data collection, preprocessing, feature engineering, and model evaluation using metrics such as ROC-AUC, precision, recall, and F1 score.
• Collaborative Approach: I fostered close collaboration with healthcare professionals and agricultural experts to validate models and ensure their practical applicability, providing actionable insights and recommendations that drove substantial improvements in operational efficiency and outcomes.
Location
Work & Experience
I am a highly accomplished Data Scientist with a proven track record of over three years in developing and implementing cutting-edge AI solutions in the healthcare and agriculture sectors. During my tenure at SSP Technology Pvt. Ltd., I took charge of leveraging machine learning, deep learning, and natural language processing to deliver highly impactful results. Key Achievements: • Health Prognosis Project: I spearheaded an innovative initiative to detect fungal diseases, predict heart attack risks, and forecast diabetes using logistic regression and neural networks. Additionally, I engineered an NLP chatbot to elevate patient interactions and enhance the overall customer experience, ensuring the highest standards of data privacy and regulatory compliance. • Farmer’s Buddy Project: I accurately predicted optimal crops for specific regions by meticulously analyzing historical data, weather conditions, and soil health. Implementing CNN and ANN models for crop disease detection, I significantly augmented crop yield and empowered farmers' decision-making processes. • Technical Expertise: I am highly proficient in Python, TensorFlow, Keras, MySQL, Docker, Kubernetes, and AWS. I excel in data collection, preprocessing, feature engineering, and model evaluation using metrics such as ROC-AUC, precision, recall, and F1 score. • Collaborative Approach: I fostered close collaboration with healthcare professionals and agricultural experts to validate models and ensure their practical applicability, providing actionable insights and recommendations that drove substantial improvements in operational efficiency and outcomes.