I obtained my Master degree in Computer Science from University of Texas-Arlington with my research in machine learning. I also have multiple certification from coursera in Machine learning.
I am a senior data scientist at MarketIntellica. I have a strong background in Machine Learning, Deep Learning , AB Testing and statistics and have 4+ years of experience on analyzing large samples data using various software like Python, scikit learn libraries, pandas, numpy and matplotlib and developing machine learning models.
I have extensive knowledge of statistical models and have developed various analysis strategies for different data.
Statistical methods I have applied in my research projects.
1. Multilevel Logistic Regression Models/ Linear Regression Models
2. ROC curve, ANOVA, T-test, Nonparametric Statistics (Wilcoxon Signed Rank Test), Fisher score, Pearson's Correlation Coefficients, Chi-squared test.
3. Power Analysis, Confidence Interval, Hypothesis Testing
In addition, I have also developed various machine learning model from scratch in the past.
1. Neurocomm: To predict the brain signal (Time series data)
2. Wheat head detection using Convolutional neural network and bounding box.
3. Recommender system using collaborative filtering.
4. Generative adversarial network for translating images from one domain to another.
5. Disease detection on casava leaf using Convolutional neural network on AWS.
I have also designed AB tests for websites to improve the click through rate of the websites.
As a data scientist, I am passionate about data analysis, solving complex and interesting task using Machine learning.
Please feel free to contact me and I will response your message within 24 hours. Thank you.