Yeshwanth Lolla
Dallas,TX
Summary
Experienced Data Scientist and Senior Compliance & Data Analyst with a proven record of translating complex datasets into actionable insights to drive performance and decision-making. Currently leading automation initiatives, building advanced reporting systems, and optimizing compliance metrics at Dartmouth College using Python, SQL, and Tableau. Proficient in full-cycle analytics from data extraction to interactive dashboard creation and mentoring junior analysts. Co-authored published research on cost optimization using Monte Carlo simulations. Skilled at improving business processes, streamlining data pipelines, and collaborating cross-functionally for data integrity and efficiency. Adept at utilizing data to improve marketplace understanding, customer segmentation, and drive business growth.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Senior Compliance and Data Analyst
Dartmouth College
04.2023 - Current
- Led the development of Python automation tools to streamline reporting workflows, reducing manual intervention by 40% and enhancing reporting speed by 30%
- Created a dynamic KPI framework using business intelligence tools (Power BI, Tableau), enabling leadership to monitor compliance and performance in real time, improving decision-making
- Spearheaded the OnBase Clean Up Check-In project, resulting in 100% report validation and reducing data discrepancies by 20%
- Automated hourly reporting processes, saving 20+ hours of manual work per week, leading to more consistent and timely reports
- Built strong relationships with stakeholders, ensuring that data insights were communicated clearly, resulting in increased engagement and adoption of automated processes.
Co-Author, Research Paper
Drexel University's LeBow College of Business
09.2022 - 04.2024
- Co-authored a research paper published in Cureus, utilizing Python to build a simulation that models breakeven points between locum tenens and full-time anesthesiologists
- Conducted 10,000 iterations using Monte Carlo simulations, helping healthcare institutions optimize their staffing decisions by understanding when full-time hires become more cost-effective than locum tenens
- Collaborated with academic leaders to develop and analyze financial models, contributing to valuable insights for healthcare administrators.
Graduate Teaching Assistant
Drexel University's LeBow College of Business
11.2022 - 04.2023
- Managed the administration of simulations for ORGB300, improving student engagement for 200+ undergraduate students by developing interactive learning strategies
- Collaborated with faculty and doctoral candidates to optimize simulation experiences, contributing to improved course delivery and learning outcomes
- Enhanced the efficiency of simulation administration by streamlining processes, reducing administrative effort by 25% during key term weeks.
Senior Process Executive
Cognizant
03.2020 - 05.2021
- Developed a machine learning algorithm that identified and triaged 39% of invalid payment cases, resulting in a 15-hour weekly time savings for senior management
- Improved the Payment on Time (POT) process by automating case allocation, reducing labor time by 25% and boosting customer satisfaction scores by 15%
- Achieved $96K in annual cost savings by enhancing First Pass Yield (FPY) through a 10% productivity improvement, optimizing business processes.
COE Specialist II
Uber
07.2018 - 03.2020
- Automated reporting processes for Uber's Global Workforce Management (WFM) and Strategy & Planning (S&P) teams, increasing reporting accuracy by 20% and reducing data processing time by 30%
- Developed interactive dashboards using SQL, R, and Python to track key performance metrics (KPIs), improving operational decision-making for leadership
- Provided analytical support that improved team performance and contributed to the successful execution of large-scale, global projects.
Education
Master of Science - Business Analytics -
Drexel University LeBow College of Business
03.2023
Bachelor of Technology - Electrical and Electronics Engineering -
Manipal Institute of Technology
07.2018
Skills
- Programming Languages: Python, R, SQL, SAS, Alteryx
- Data Analytics: Predictive Modeling, Machine Learning (Regression, Classification), A/B Testing, Monte Carlo Simulations, Statistical Analysis (Hypothesis Testing, Clustering, Time Series Analysis)
- Data Engineering: ETL Processes, SQL Query Optimization, Data Pipeline Automation
- Automation: Python Scripting, Robotic Process Automation (RPA), Workflow Optimization
- Business Intelligence & Visualization: Tableau, Power BI, Looker, Plotly, Matplotlib, Seaborn
- Database Management: MySQL, Oracle E-Business Suite
- Statistical Tools: JMP, SPSS
- Funnel Optimization & Segmentation: Process Improvement, User Behavior Analysis, Customer Satisfaction
- Project Management: Agile Methodology, Cross-Functional Collaboration
- Research & Reporting: Peer-reviewed Publication, KPI Development, Advanced Excel (VLOOKUP, PivotTables)
Certification
- SQL Essential Training
- Change Management
Accomplishments
Cross J, Lolla Y, Fichman C, Weingarten M, Howley M. The Cost of a Locum: A Simulation to Determine When You Are Paying Too Much for Your Anesthesia Locum Tenens Coverage. Cureus. 2024;16(4)
. DOI: 10.7759/cureus.58853
Timeline
Senior Compliance and Data Analyst
Dartmouth College
04.2023 - Current
Graduate Teaching Assistant
Drexel University's LeBow College of Business
11.2022 - 04.2023
Co-Author, Research Paper
Drexel University's LeBow College of Business
09.2022 - 04.2024
Senior Process Executive
Cognizant
03.2020 - 05.2021
COE Specialist II
Uber
07.2018 - 03.2020
- SQL Essential Training
- Change Management
Master of Science - Business Analytics -
Drexel University LeBow College of Business
Bachelor of Technology - Electrical and Electronics Engineering -
Manipal Institute of Technology
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