About

Anisha Garg is a highly skilled and experienced Data Scientist currently working at Amazon. With almost 5 years of relevant experience, Anisha has a proven track record of delivering successful data-driven projects in various domains. Her expertise lies in data wrangling, visualization, ETL, and ML toolkits. Anisha is proficient in programming languages such as Python, SQL, R, PySpark, Hive, and SAS. She has experience in various machine learning techniques such as Regression, Classification, Clustering, Natural Language Processing, Network Analysis, and Time-Series Forecasting. She has also worked with deep learning techniques such as Convolutional Neural Network (CNN) and Long short-term memory (LSTM). Anisha has a strong background in statistical analysis, including Hypothesis Testing and A/B Testing. She is proficient in various platforms and software such as AWS (Glue, SageMaker, Lambda, Step Function, ECR, S3, IAM), GCP (Compute Engine), Hadoop, Tableau, R Studio, and Terraform. Anisha has previously worked at IBM as a Cognitive Engineer Consultant and at Dell as a Data Science Student Contractor. At Dell, she worked with customer survey data to identify significant predictors of customer satisfaction and provided actionable insights to the team. She also extracted insights using customer journey analytics on the Dell support website and engineered important features from text data to gain insight into customer concerns. Anisha holds a Bachelor's degree in Chemical Engineering from the Indian Institute of Technology, Bombay, and a Master's degree in Business Analytics from the Texas McCombs School of Business. She is highly proficient in various tech stacks such as NLU, Data Scientist, Research Scientist, test, ML, SQL, AWS, Sagemaker, Terraform, CNN, Deep Learning, NLP, Python, Neural Networks, Hadoop, ETL, GCP, and Apache Hive. Anisha is a prolific contributor to the data science community and has published several articles on Medium. She also maintains a GitHub profile where she shares her projects and code. With her vast experience and expertise, Anisha is a valuable asset to any organization and is committed to delivering high-quality results.