S

Shresta C

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United States

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Résumé

Jobs verified_user 0% verified
  • Tempus
    Data Analyst
    Tempus
    Oct 2024 - Current (2 years 1 month)
    As a Data Analyst, I built Power BI dashboards tracking over 10,000 patient records, which improved trial monitoring efficiency by 14% and enabled real-time decision-making for clinical and research teams. I transformed complex clinical datasets using Python (Pandas, NumPy), applying time series and correlation analysis with Seaborn and Matplotlib to cut data errors by 13% and generate accurate inputs for predictive modeling. Additionally, I developed regression and classification models in Scikit-learn with resampling techniques (cross-validation), enhancing patient risk prediction accuracy by 10% and identifying over 200 critical cases monthly for early clinical intervention. I automated ETL workflows with Airflow and queried data from Sn
  • PhonePe
    Data Analyst
    PhonePe
    Jan 2021 - Nov 2022 (1 year 11 months)
    Performed time series analysis on 1M+ UPI transactions using SQL to identify behavioral patterns, increasing active monthly users by 12% and driving an 8% rise in high-value digital transactions. Designed Tableau dashboards visualizing KPIs for 200,000+ users, reducing manual reporting time by 21% while cutting operational analytics costs by 1.2M annually for finance and payments monitoring teams. Performed clustering in R with ANOVA to evaluate group differences on 200K+ customer datasets, driving targeted marketing that boosted engagement and improved long-term retention by 11%. Integrated and validated PostgreSQL and MySQL datasets using GitHub for version-controlled analytics workflows, ensuring 98% reporting accuracy, minimizing pipeli
  • Deloitte
    Associate Data Analyst
    Deloitte
    Nov 2018 - Dec 2020 (2 years 2 months)
    Built Excel dashboards with Pivot Tables, VLOOKUP, and Macros, applying A/B testing on reporting formats to enhance clarity across 15+ KPIs, improving leadership visibility into audit trends and reducing manual workloads. Cleaned and wrangled over 5K financial records using anomaly detection to identify irregular entries, improving accuracy by 16% and ensuring reliable datasets for compliance reporting and financial audit submissions. Assisted in clustering analysis using Scikit-learn and applied sampling and chi-square testing to optimize audit strategies for client expense reviews, supporting operational efficiency improvements. Supported ETL workflows with PySpark and AWS Glue, processing daily client transaction records and improving pi
Education verified_user 0% verified
  • University of Memphis
    Master of Science in Information Technology
    University of Memphis
    Jan 2023 - Dec 2024 (2 years)
    GPA: 3.47/4