Neha Kaushik — Data Engineer

I have total 9 years of experience in Data Analytics. Industry experience : Pharmaceutical, Retail, Manufacturing Tools Knowledge : Python, SQL, Pyspark, Numpy, Pandas, git, Power BI, Qlik, Tableau Data Science Knowledge : 1) Well versed with statistical method (Central limit theorem, probability distribution, sampling, hypothesis testing, Uni variate & Multi variate analysis, etc.) 2)AB Testing, ANOVA, campaign analysis, Personalization. 3) Regression Methods (Linear, Lasso, Ridge, Multiple linear, polynomial regression) 4) Time series Modeling (ARIMA,SARIMAX) 5) Machine Learning (Decision Tree, SVM, Random forest, Gradient boosting, KNN, K mean) 6) Deep Learning (Deep neural network and convolutional neural network VGG16 ,VGG19 ,Open cv Algorithm ) 7) Text Mining (NLP, Sentiment analysis, Topic Modelling, BOW model, text classification) 8) Exposure in working with high volume data, implemented high performance computing. 9) Microsoft Azure Machine learning studio. Current Role : I am working as Data scientist/BI Engineer in IBM@IKEA. Building cutting edge solution in Retail analytics using ML algorithm.

Stackforce AI infers this person is a Data Analytics professional with expertise in Business Intelligence and Machine Learning in the Pharmaceutical and Retail sectors.

Location: Gurugram, Haryana, India

Experience: 9 yrs 3 mos