I am a Data Scientist with strong analytics and value articulation skills, who can figure out the HOW but is really interested in WHY. I love to work cross functionally wearing multiple hats.
Have extensive experience in solving many real-world business problems across different domains and enjoy communicating and evangelizing data science solutions to business stakeholders.
Skills : Python | SQL | R | JAVA | HTML | C | AWS Sagemaker | Tensorflow | Plotly | Seaborn | Matplotlib | Git | Flask | NumPy | Pandas | Scikit-learn | Fbprophet | Dash | PuLp | Python-pptx | TextBlob | NLTK | Featuretools | Regression | Neural Networks | Decision Trees | Random Forest | SVM | Factor analysis/ PCA | Clustering | Hypothesis Testing | Linear and Logistic regression | linear discriminant analysis | Clustering | Trees | Ensembles | Bagging | Boosting | Dimension Reduction | SVM | KNN
Areas of expertise: Marketing analytics | Pricing analytics | Retail analytics | Sentiment Analysis | Financial and Time series modelling | Recommendation Engine | Forecasting | Segmentation methodologies | Fraud Detection | Anomaly Detection | Statistical modelling | Machine Learning | Data Mining | MLOps | EDA | Data Cleaning | Data Visualization | Predictive Analytics | Predictive Modelling | Operations Research | Business Intelligence | Automation | Problem-Solving | Critical Thinking | Excellent communication and leadership skills
When I am not glued to a computer screen, I spend time playing soccer, making memes and planning my next trip.
If you have a project I can help with, please get in touch(avranil26@gmail.com)