I am a machine-learning practitioner with 2+ years of experience in data analysis, statistical modelling, stock forecasting, churn prediction, banking, insurance, healthcare and business development. I am an undergrad from Harcourt Butler Technological Institute, India.
- Highly proficient in Python and conversant in statistical tools like R.
- Experienced in building end-to-end pipelines for data manipulation, modelling, model selection and prediction
- Knowledge of variety of data visualization in Tableau and R Shiny, Plotly, QlikSense.
- Statistical Distributions like Binomial, Poisson, Hyper-Geometric, Normal, T, Chi-square
- Knowledge of variety of machine-learning algorithms like:
o Regression (Linear, Logistic Regression, Multiple, GLM)
o Dimension Reduction Methods (Principal Component Analysis, LDA)
o Statistical Modelling (Cluster Analysis, Decision Trees, Regression)
o Classification (Naive Bayes, Support Vector Machine, Logistic regression, Decision trees, Ensembles - Random forests, Gradient Boosting)
o Clustering- K Means/ hierarchical/DBSCAN/Affinity/Agglomerative/Spectral)
o DeepNets/Theano/Keras/Tensorflow/CNN/LSTM/ImageProcessing/StockPrediction/Predictive Modelling
o Time Series Forecasting: HoltWinters, ARIMA
o Tools (Tableau, QlikView, QlikSense, Advanced Excel, RapidMiner, WEKA, KNIME, TRIFECTA)
Database Management System- MySQL, MongoDB
o Natural Language Processing, Sentimental Analysis, Semantic Analysis
o Web Scraping