Nikhil Bhole Email & Phone Number

Pune, Maharashtra, India

• Architecting Machine Learning solutions following agile methodologies using Python.• Pre-processing data, feature engineering & feature selection using Pandas & Sklearn.• Extensively created Machine Learning applications using Python, SQL, NoSQL databases.• Extracting features from textual data using NLP libraries like NLTK, Spacy, Hugging Face.• Hyper parameter tuning, model deployment, develop REST API using Flask framework.• Containerization using Docker and deploying models in Azure Cloud.• Created reports and preseAntations summarizing analysis using statistics.• Implemented popular ML algorithms (Support Vector Machines, Random Forest, XGBoost, Linear Regression, Logistic Regression, PCA, etc.) and deep-learning networks (RNNs, LSTMs, CNNs, ANN’s, Transformers, etc.)• Utilized Hugging Face pre-trained models for sentiment analysis, clustering & zero-shot classification, leveraging LLM’s like Sentence Transformer to generate word embeddings, enhancing NLP-driven solutions.Achievements :•- Automated textual data analysis of customer reviews, cutting manual efforts by 75% (from 12 to 3 days) using Hugging Face models, Sklearn, and NLTK on DataIKU, effectively identifying product perception triggers and barriers.• Created an ML application for a car insurance company to predict fraudulent insurance claims reducing fraud claims by 35%.- Developed an ML solution on Azure cloud using sensor data, saving over $2 million by accurately predicting truck air pressure system failures.

Bengaluru, Karnataka, India

• Developed & maintained data-driven dashboards for multiple departments in the plant.• Created clear and compelling visualizations to communicate findings using Power BI.• Cleansed, integrated & evaluated diverse datasets with Python, SQL & Power Query.• Developed data models and derived useful measures through DAX.• Worked with SQL & NoSQL databases to extract data from databases.• Parsed, structured & transformed data using Python, Pandas.• Performed Exploratory Data Analysis to identify trends, patterns, and anomalies.• Collaborated with cross-functional teams to understand business requirements.• Cleaned and preprocessed raw data to ensure accuracy and reliability.• Handled missing data and outliers effectively using Scikit-learn, numpy & Pandas.• Applied statistical methods to analyze and interpret data.• Generated regular and ad-hoc reports for stakeholders.• Communicated insights through presentations and reports.

Pune, Maharashtra, India

Predictive Analytics Enhancement Project:Developed robust machine learning models, increasing predictive accuracy by 20%.Leveraged advanced algorithms and techniques for feature engineering and model optimization.Deep Learning Innovation Initiative:Implemented cutting-edge neural network architectures using TensorFlow and PyTorch.Achieved breakthroughs in image classification accuracy and sequence modeling.Text Analytics Transformation Project:Applied advanced NLP techniques, resulting in a 30% increase in customer satisfaction.Developed custom NLP models for chatbots, text summarization, and entity recognition.