Data Scientist | Pune, MH

Dedicated Data Scientist with hands-on experience in ML, deep learning, and AWS deployment. Skilled in Python, SQL, neural networks, Flask, Apache Airflow, and GenAI tools. Successfully deployed models in production, ensuring seamless automation and model tracking. Passionate about applying AI to real-world challenges and continuously expanding technical skills.

• 📞 Phone: +91 9112753952
• 📧 Email: [email protected]
• 🔗 LinkedIn: [Nandkumar Admane](LinkedIn link)
• 📍 Location: Pune, MH

Maestro Intellect (01/2024 – Current)
Data Scientist

• Spearheading the development of machine learning models for automating loan sanctioning processes.
• Collaborated with financial analysts to ensure compliance and accuracy in model predictions.
• Utilized tools such as Python, Scikit-learn, and MlFlow for data wrangling, modeling, and analysis.
• Delivered insights through dashboards and reports to help drive strategic business decisions.

• Spearheaded a high-impact project on loan sanctioning, achieving a remarkable 91% accuracy rate through meticulous exploratory data analysis (EDA) and advanced feature engineering techniques.
• Developed and implemented ML models to optimize the loan sanctioning process.
• Conducted in-depth data analysis to identify key factors influencing loan sanctioning decisions, providing valuable insights for business strategy.
• Successfully deployed models into production, contributing to a
• significant improvement in the loan sanctioning process.
• Analyzed e-commerce customer feedback data to uncover trends and patterns influencing satisfaction.

• Built a fraud detection model for health insurance claims using Python, achieving 96% accuracy with Random Forest after tuning and feature selection (PCA, Chi2, ANOVA).
• Preprocessed 1.5 M+ records by handling missing values, outliers, imbalanced data (SMOTE), and categorical encoding.
• Designed an end-to-end pipeline using Flask API to integrate model predictions into a real-time claim submission system.
• Delivered significant business impact by automating fraud detection, reducing manual workload, and preventing financial losses.

Programming: Python

• Frameworks: Django, Flask
• Database: MySQL, MongoDB
• Gen AI: LLM, BERT, Langchain, ChatOpenAI, LLAMA, HuggingFace
• Time Series Analysis: Forecasting, ARIMA, SARIMA
• Machine Learning: Regression, Classification, Clustering
• Deep Learning: ANN, CNN, Perceptron, Back Propagation, Optimizer
• Natural Language Processing (NLP): NLTK, Tokenization, Lemmatization, Stemming
• AWS: SageMaker
• Visualization: Seaborn, Matplotlib, Power BI

• Bachelor of Technology, Solapur University (2020-2024)

• Full Stack Data Scientist.