Data Tableau

Vaidehi Rathkanthiwar

**************@****.***.*** • 925-***-**** • linkedin.com/in/vaidehi-rathkanthiwar • github.com/vaidehi9896 Education

Master of Science, Information Technology Management Aug 2019 – May 2021 Illinois Institute of Technology, Chicago, Illinois GPA: 3.85/4.0 Bachelor of Technology, Information Technology Aug 2014 – May 2018 Symbiosis International University, Pune, India GPA: 3.11/4.0 Technical Skills

Languages: R, Python, JavaScript, HTML, CSS, SQL, Java, PHP. Database: MySQL, MS Access, Oracle 12 C, PostgreSQL, ETL, Hadoop. Tools: Tableau, PowerBI, Jupyter Notebook, R Studio, MS Excel, AWS, Linux, SPSS, Hadoop. Data Science Libraries: Pandas, NumPy, SciPy, SciKit-Learn, Seaborn, Matplotlib, GGplot2, Regex. Certifications: Certified Tableau Data Scientist, Data analysis with R and Python, Project Management. Tableau Public: public.tableau.com/profile/vaidehi.rathkanthiwar Professional Experience

SAP Business Analyst, Future Group, Ahmedabad, India June 2018 – May 2019

● Designed BI dashboards using R & Tableau to visualize DMart’s product and capital resource demands.

● Conducted business intelligence research for customers and analyzed performance of the Future Pay app.

● Reduced Future Pay app database latency by 15% using SAP, ABAP, and optimized SQL queries.

● Assessed customer experience and gathered feedback using user satisfaction surveys and error metrics.

● Improved BI operational effectiveness and reduced Mall POS software errors by 25% .

● Developed an Inventory Mgmt System for Central and Brand Factory mall using SAP ABAP & SQL .

● Reduced overstocking of Central and Brand Factory malls by 35% using Inventory Mgmt System . Test Analyst Intern, Krixi Corp., Pune, India Jan 2017 - June 2017

● Analyzed trends in customer usage for Krixi Care apps and increased customer retention rate by 10%.

● Performed Unit, and A/B testing on 25+ websites and apps using Selenium, Google Analytics, and Jira .

● Correlated datasets using statistical models like logistic regression to improve business strategies. Projects

Face Mask Detector using Deep Learning May 2020 - July 2020

● Implemented a real-time face mask detector using ImageNet dataset, Keras CNN model, and OpenCV haar face detection with high accuracy of 99.2% .

● Performed Image processing and data augmentation using Numpy, Pandas, PIL, and Sklearn. Diabetes Medication and Patient Readmission prediction Mar 2020 - May 2020

● Analyzed US hospital datasets based on clinical history to predict the need for diabetic medication prescription and patient readmission in the hospital.

● Implemented robust Machine Learning models like Naive Bayes, Decision Tree, SVM, etc in Python.

● Performed PCA & feature selection to obtain a boosted accuracy of 89.6% evaluated using RMSE. COVID’19 Data Warehouse and Dashboard System Mar 2020 - April 2020

● Collaborated in a team of 6 to implement a Data Warehouse for various Covid’19 datasets using Pentaho.

● Refined data using advanced SQL queries to identify time-series trends in deaths and confirmed cases.

● Implemented data dashboards using Tableau to visualize correlation between covid and area population. SF Employee Salary Data experiment Oct 2019 - Dec 2019

● Designed data experiments to predict employee compensation, base-pay allocation, and gender & racial discrimination using the San Francisco dataset from Kaggle.

● Implemented ML classification models using techniques like Naïve Bayes, Random Forest, SVM in R.

● Performed hypothesis testing using ANOVA, T-test, and Residual analysis using R & SPSS.

● Validated results using hold-out evaluation and obtained an accuracy of 96.3% evaluated using RMSE.

● Designed Tableau visualizations to demonstrate prediction results and compare all classification models.

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