A dynamic Senior Data Scientist with over 6 years of hands-on experience in delivering AI-driven solutions across diverse domains such as healthcare, supply chain, logistics, IT infrastructure, forecasting, and e-commerce. Proficient in leveraging machine learning, deep learning, and NLP technologies to address complex business challenges and deliver scalable, automated data workflows.
Expertise includes working with advanced data science libraries, cloud platforms (AWS, Azure, GCP), and tools for end-to-end project execution, including data extraction, cleaning, feature engineering, model development, deployment, and monitoring. Proven track record in implementing predictive analytics, customer segmentation, and sales forecasting models while ensuring high accuracy and efficiency. Skilled in stakeholder management and delivering impactful insights through visualization tools like Power BI and Tableau.
Technical Skills
- Programming & Libraries: Python, Flask, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, NLTK, SpaCy, Keras, Gensim, Google Translator API.
- Machine Learning Models: Logistic Regression, Random Forest, XGBoost, SVM, CATBoost, K-Means, DBSCAN, Isolation Forest.
- NLP Models: TF-IDF, Word2vec, Doc2vec, BERT, Hugging Face models.
- Deep Learning Models: ANN, CNN, RNN, LSTM, Encoder-Decoder.
- Visualization: Power BI, Tableau.
- Databases: SQL, MS SQL Server, GCP BigQuery, SSAS.
- Cloud Platforms: AWS (S3, Lambda, SageMaker, CloudWatch, EC2), Azure (AML, Databricks, ADLS, Blob Storage, ADF), GCP (Bucket, BigQuery).