Data Analyst Science

Vaishali Sharma

********.*****@*****.*** 412-***-**** Cupertino, CA 95014 LinkedIn GitHub

Data Analyst with over 6 years of experience in predictive modeling, data analysis, and business decision-making, holding a Master of Science in Business Analytics. Successfully completed a Data Science Bootcamp, where I developed a Random Forest model achieving 97% accuracy and a 98% ROC-AUC to predict coronary heart disease risk. Designed and implemented a real-time dashboard that optimized event tracking and marketing strategies. Enhanced anomaly detection processes and reduced analysis turnaround time by 20% through advanced statistical modeling. Expanded a scientific database by uncovering antifungal resistance patterns, supporting critical research initiatives. Played a pivotal role in securing government contracts by maintaining 95% audit compliance. Passionate about leveraging data-driven insights to drive impactful business outcomes.

Technical Skills

Programming Languages: Python, SQL, R, SAS

Modeling: Random Forest, Decision Trees,, Scikit-Learn, TensorFlow, PyTorch Data Visualization: Tableau, Matplotlib, Seaborn

Big Data: Spark, AWS, Google BigQuery

Tools: Excel, Jupyter Notebook, Docker, Git

Experience

Business Analyst Fellow, University Credit Union - Saint Mary’s College of California October 2024 - December 2024

●Collaborated with stakeholders to define KPIs and enhance event tracking and marketing performance measurement, leveraging Python and Excel features such as Pivot Tables and VLOOKUP to analyze and report key metrics effectively.

●Designed a real-time dashboard with Tableau, integrating data pipelines to track event success and marketing reach.

●Automated reporting processes, reducing manual data processing time by 30% and improving decision-making efficiency.

●Delivered actionable insights through data storytelling, driving a measurable increase in customer engagement and enhancing event planning strategies.

Data Science Fellow, Springboard October 2023 - September 2024

●Analyzed the Framingham dataset using Python to address the challenge of predicting 10-year coronary heart disease

(CHD) risk by examining key health variables.

●Conducted EDA, preprocessing, and feature engineering with matplotlib and seaborn, and developed a Random Forest model achieving 97% accuracy and 98% ROC-AUC, complemented by Linear Regression analysis to provide actionable insights for CHD prevention.

Principal Analyst (Lead/Staff), Avon Pvt Ltd, India February 2013 –January 2018

●Mined high-dimensional chemical data, identifying patterns and trends using advanced scientific equipment.

●Reduced false positives, and optimized protocols, decreasing analysis turnaround by 20%.

●Conducted audits and led validation processes, achieving a 95% proficiency score, securing government contracts.

●Led data-driven decision-making efforts across departments using advanced Excel, SQL, and statistical techniques, contributing to a 5% increase in equipment uptime.

●Mentored junior analysts, fostering development in data analysis and predictive modeling. Project Fellow (Statistical Modeling), University of Delhi, Presented - American Society for Microbiology October 2018 - February 2019

●Conducted data-driven analysis on antifungal resistance in rare yeast fungemia by examining 325 isolates from 19 hospitals, utilizing advanced scientific instruments to enhance species identification accuracy.

●Developed Main Spectrum Profiles (MSP) to expand a reference database, uncovering critical resistance patterns and supporting data-informed treatment strategies.

●Contributed to a larger research initiative on fungemia, advancing understanding of antifungal resistance in clinical settings. Education

Master of Science in Business Analytics, Saint Mary’s College of California September 2023 - December 2024 Master of Technology in Biotechnology, Amity University, India August 2010 - July 2012 Bachelor of Technology in Biotechnology, Kurukshetra University August 2005 - July 2009 Certifications

●UC Berkeley Extension: Programming Python (Online) July 2022 - November 2022

●UCLA: Data Structure, Entrepreneurship (Online), August 2020 - March 2021

●ISO/IEC 17025: General requirements for the competence of testing and calibration laboratories February, 2014

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