Tejaswi Dubey

Importing, cleansing, transforming, validating data with purpose of understanding or making conclusion from data for decision making purposes. Implemented Recommendation System for increased revenue by 18%. Customer sentiment analysis using Transformers. User query segmentation using Transformers. Built and optimized algorithm to decrease TAT to 10 days from 15 days for logistics team. Optimized custom algorithm "FitSmart" used for apparel fitting. Alterations came down to 2% from 10%. Write Data Definition Language or Data Manipulation Language SQL commands, responsible for improving data quality and designing and presenting conclusions gained from analyzing data using statistical tools like Python, PostgreSQL, MongoDB and Tableau. Used Tableau for BI and better decision making. Built model to segment customers for specific sales promotions. Advising on suitability of methodologies and suggesting improvement.

Working on various algorithm to help Healthcare institutions to increase user experience as well as increase ROI. Worked and Launched product (i.e. VIZI) to achieve this objective as well. Built chat bot to reduce customer wait time and increase customer satisfaction level. Worked on Time Series data using ARIMA, SARIMA and SARIMAX to build predictive models. Built search engine to better map products with respective search. Built recommendation engine and hence increased product sell by 10%. Integrating Image search option on our search engine. Built Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-NN, NaïveBayes, XGBoost, Clustering models and Time series models. Reporting directly to CEO and other higher management personals on traffic, behaviour and other KPIs for prompt action to increase user base.

Python and Machine Learning for data exploration, preparation and modelling. Built Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-NN, NaïveBayes, Clustering models. Stock performance prediction using time series (ARIMA,SARIMA and SARIMAX). Carrying out specified data processing and statistical techniques. Automating reports generated for management to understand them clearly. Used Google Analytics tool for data exploration and for gaining insight of customer behaviour well as other KPIs.

Importing, cleansing, transforming, validating data with purpose of understanding or making conclusion from data for decision making purposes. Responsible for loading, extracting and validation of client data. Write Data Definition Language or Data Manipulation Language SQL commands, responsible for improving data quality and designing and presenting conclusions gained from analyzing data using statistical tools like Python and Excel. Built model to segment customers for specific sales promotions. Advising on suitability of methodologies and suggesting improvement.