Forecasted quarterly sales and usage metrics using XGBoost regressor for Competitive Intelligence to help business leaders set accurate targets.Created labeled dataset of 53k samples using NLTK, RegEx, LDA algorithm to build supervised learning model for classification of incoming product issues using SVM.Established pipeline to generate issue ticket as per class with 92% accuracy and min. F1 Score of 82% for all classes.Developed cross-selling recommendation model based on customer’s current product usage and increased lead conversion by 6%.Built a customer monitoring dashboard in Tableau to track customer trends and churn consumer patterns.

Leveraged AWS S3 to store and analyze 1.4 trillion posts on COVID-19, retrieved across all social media platforms.Performed Data Cleaning and Preprocessing using NLP techniques like Stopwords, lemmatization, tokenization and applied Word2vec and LDA algorithm to segregate topics.Performed sentimental analysis on the tweets to measure the impact of WHO vs CDC statements, to measure public trust in WHO.

Worked on a digital card web application and created sales and product management visualizations using Python and imported data sets utilizing the Pandas and Numpy libraries to understand and analyze the data.Queried, parsed and analyzed system performance data and formalized it into a report to allow performance monitoring.Created Pyspark scripts to predict the future sales using seasonality, categorization and classification of the products and designed data narratives using Power BI dashboards to represent product consumption patterns.Analyzed the company’s historical data with the help of Maps in Tableau to correlate the frequent customers and their location to aid generate new leads for the company and improve the sales by 5% over a period of 3 months.

Worked on a web based panel for a community driven app and wrote DML and DDL scripts in PL/SQL and PostgreSQL to provide the back-end support for the application.Developed a module to filter data and build notification service for the app.Worked on SQL and SSAS to automate data cleaning process from disparate sources and convert it to structured data for analysis thereby reducing time of running Excel reporting sheets.