Machine Learning Power Bi

Tasneem Bhagat

******.*******@*****.*** ********@***.*** +1-781-***-**** LinkedIn Boston, MA

EDUCATION

Worcester Polytechnic Institute, Worcester, USA January 2023 – December 2024

MS in Business Analytics (GPA 3.9)

University of Mumbai, Mumbai, India June 2009 – March 2011

MSc. Bioanalytical Science

University of Mumbai, Mumbai, India April 2006 – March 2009

B.Sc. Biotechnology

SKILLS

●Techniques: Business Optimization Models, Data Management, Data Mining, Feature Engineering, Data Visualization, Report Building, Google Analytics, Market Analysis, Data Scraping, Predictive Modelling, Hypothesis Testing, Time Series Forecasting, Machine Learning, Risk Assessment, Decision Tree model.

●Tools: ERP system, Tableau, Power BI, DataRobot, IBM SPSS, RapidMiner, Microsoft Azure ML, Excel-Pivot table, Visio, JIRA, Confluence, NVivo

●Languages: SQL, Python (NumPy, Pandas, Matplotlib, nltk, Seaborn, Scikit-learn, SciPy, Beautiful Soup, Selenium, TensorFlow, Keras), R

PROFESSIONAL EXPERIENCE

Graduate Research Assistant Worcester Polytechnic Institute, MA March 2023 – Present

●Statistically analyzed ED patient arrival data using pivot tables for University, Clinton, and Marlboro Hospitals, revealing 88.34% of University ED patients had a LOS less than 1 day, reflecting efficient patient flow management.

●Developed interactive Tableau dashboards by exporting pivot table data, enhancing analysis of ED wait times by patient risk levels and optimizing care processes.

Data Analyst K12 Techno Services – Mumbai, India June 2022 – December 2022

●Collaborated with the central team to refresh data on the school's online platform Eduvate.

●Utilized Power BI to generate reports, identifying revenue enhancement opportunities for 14 area managers and supporting informed decision-making.

●Enhanced the school enrollment predictive model by performing feature engineering with Python libraries, creating heatmaps to identify correlations, and applying logistic regression analysis to eliminate insignificant data, achieving 80.6% accuracy.

Business Analyst Sarsan Oilfields Supply Centre – Dubai, UAE January 2017 – January 2022

●Leveraged ERP ‘Focus' deployed on the cloud, overseeing ETL processes from the database to streamline operations and optimize workflows, reducing annual costs by 10%.

●Designed roadmaps and applied the built-in reporting tools of the ERP to present KPI’s to stakeholders.

●Led a successful $1 mil carbon steel pipes delivery project by mitigating operational risks through scenario analysis and checklists.

●Analyzed historical data to identify patterns in customer issues and churns, maintained accurate data for more than 100 suppliers, and successfully negotiated to reduce material costs by an average of 5%.

●Executed market research and designed brochures and email campaigns to highlight pricing and discounts on carbon steel, driving a 6% annual sales increase.

PROJECTS

1)Assessing market viability for Teradyne Inc.- Conducted market analysis of seven key camera module manufacturers and competitors using NVivo to analyze qualitative data, made a TAM model for revenue projection, and proposed a strategic entry into the automotive camera module test market based on three critical factors for Teradyne Inc.

2)Fraud Detection Modeling: Analyzed 6 million fraud transactions with Python, used SMOTE for data balancing, deployed it for machine learning with Azure ML and DataRobot achieving 53% accuracy, and created infographics to highlight findings and benefits to stakeholders.

3)CDC health dashboard: Prepared a snowflake for CDC's large-scale data collection and processing and developed an interactive BI dashboard to monitor health trends and aggregate data by geographic variations.

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