Machine Learning Data Scientist

Divyani Kanawat

*********@*****.*** # 763-***-****

CORE COMPETENCIES AND SKILLS

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Core Competencies: Critical Thinking, Teamwork, Detail-Oriented, Risk Management, Communication, Self-Starter

Packages: Pandas, NumPy, Matplotlib, Torch, Scikit-Learn, Tidyverse, Caret, Seaborn, TensorFlow, Keras, Pytorch, NLP

Technologies: Python, R, SQL, MATLAB, SAS, MySQL, HTML, JavaScript, Tableau, Shiny, Power BI, Spark, AWS (SageMaker, Glue, Redshift), Databricks, Visual Studio, MongoDB, Docker, Jupyter, Hadoop, Agile, Git, JIRA, SQL, Scala

Knowledge: Data Processing and Visualization, Feature Engineering, Forecasting, Recommendation Systems, Deep Learning, Computer Vision, Big Data, Cloud Computing

EXPERIENCE

Data Scientist Apr 2022 – Present

Bluestem Brands

•Developed machine learning models to predict customer lifetime value and optimize EBITA. Identified high value customers to increase marketing exposure and low value customers to reduce marketing efforts to them, resulting in a 15% increase in customer loyalty and repeat purchases.

•Pioneered a comprehensive discount model with propensity, operating profit, and net demand components, achieving 85% accuracy in discount usage prediction, a 25% increase in targeted marketing effectiveness, and a 20% improvement in revenue forecasts, resulting in a 30% increase in campaign ROI and a 15% improvement in customer retention.

•Strategized cross-shopper behavior using clustering techniques and association rules, leading to targeted promotions and personalized recommendations, boosting customer engagement by 20%.

•Developed and deployed look-alike models with machine learning algorithms to identify high-potential customer segments, driving a 30% increase in targeted marketing effectiveness.

•Utilized Databricks for collaborative data science and engineering, optimizing data workflows and reducing processing time by 40%. Leveraged Spark and Scala for big data processing, enabling efficient analysis of large datasets.

Marketing Analyst II (Bluestem Brands) Mar 2021 – Apr 2022

•Automated data integration processes between AWS Redshift and Tableau using Tableau Bridge, reducing manual data update tasks by 50% and ensuring up-to-date reporting.

•Utilized ActiveBatch to develop and manage automated jobs, including model scoring tasks, ensuring timely execution, improving process reliability by 30%, and maintaining accuracy in predictive analytics.

•Optimized extensive data analysis processes to clean, transform, integrate, and organize data for optimal analysis. Contributes to comprehensive data description and exploration processes.

•Conducted CXMP survey analysis using Qualtrics survey data, deriving actionable insights to enhance customer satisfaction and retention.

Analytical Consultant & Data Analyst (AXYKNOW Capital Services Pvt Ltd) Feb 2014 – Apr 2018

•Conducted an Unprofitable Orders Analysis, examining trends, discounts, returns and promotions. Provided insights into unprofitability drivers, including discount impacts, seasonal trends, and web vs. non-web comparisons. Resulted in a 10% reduction in unprofitable orders and a 15% increase in Average Unit Revenue for profitable orders.

•Developed monthly reports on omnichannel buyers, analyzing mix, and YOY growth. Created dashboards for YOY analysis and CY vs PY comparison, highlighting customer percentage changes, shifts from non-web to web buyers, and order channel transitions. This provided valuable insights for the marketing team to plan effective strategies.

•Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

EDUCATION

Harrisburg University of Science and Technology Major:M.S. in Data Analytics 2019 – 2021

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