Sonia Kaushik — Data Scientist

As a Data Scientist with a M.Tech in Computational Mathematics from Jamia Millia Islamia, I have a passion for uncovering insights from data and applying them to real-world problems. I have expertise in Python and its libraries, such as Pandas, Numpy, Beautiful Soup, Selenium, and Requests, as well as in Machine Learning and Deep Learning using Keras, TensorFlow, and Natural Language Processing. In my most recent role at DeetsDigital, I worked on various projects involving web scraping, data extraction, sales forecasting, and coil quality detection. I developed a generalized automated data extraction code for four different websites, and scraped chat data from Instagram. I also implemented AR, Fb-prophet, VAR, and XGBoost algorithms for univariate and multivariate time series models to forecast daily sales for different stores and locations. Additionally, I converted large volumes of DAT files into readable text format, executed data cleaning, feature selection and engineering, and implemented Logistic Regression, SVM, and Random Forest algorithms to detect coil quality. I contributed to the improvement of data quality, accuracy, and efficiency, as well as to the enhancement of business performance and decision making.

Stackforce AI infers this person is a Data Scientist specializing in machine learning and data extraction for retail and manufacturing sectors.

Location: Delhi, India

Experience: 1 yr 7 mos