I am an Analytics graduate with a concentration in Statistical Modeling, passionate about leveraging my data science skills for bridging the gap between business and analytics. I have a strong background in Analytics and Statistics with an ability to effectively communicate a story through data.
I'm passionate about building ML and NLP models that can extract value from text data and deliver valuable insights to businesses for improved decision making.
I am confident about my knowledge and experience in the following data science & analytical techniques and tools:
- Experience with Python Packages: Numpy, Pandas, Scipy, Seaborn, Matplotlib, Scikit Learn, TensorFlow, PCA, nltk, Plotly
- Experience in working with R: ggplot2, shiny, glmnet, caret, tidyverse, dplyr, healthcareai, Mediana, officer, flextable
- Supervised & Unsupervised Machine Learning Techniques: Regression, Clustering, Classification, PCA, Reinforcement Learning
- Tableau and PowerBI
- Time Series Analysis & Econometrics
- MySQL
- Hadoop, Hive, Azure
I have a Bachelor's honors and a Master's degree in Economics. During my graduate program in economics, I gained a strong experience in conducting statistical analysis for solving various research problems using SPSS.
I am passionate about working in an environment where statistical analysis and analytical techniques such as ML and NLP models can be applied for delivering valuable business insights.