Summary
Overview
Work History
Education
Skills
Timeline
Generic

Sravanthi M

Jersey City

Summary

Data Scientist with 7+ years of experience, specializing in SQL, Python, and Tableau. Experienced in developing interactive dashboards and predictive models to uncover insights and support data-driven decision-making in healthcare and finance. Skilled at translating complex data into actionable recommendations that drive business impact. Adept at building and optimizing ETL pipelines, ensuring high-quality data for analytics. Collaborates effectively with cross-functional teams to align data initiatives with business objectives. Strong background in feature engineering, predictive modeling, and performance monitoring to deliver scalable analytical solutions.

Overview

9
9
years of professional experience

Work History

Data Scientist

Optum
New York
06.2024 - Current
  • Analyzed large scale healthcare claims data to identify service utilization and cost drivers.
  • Performed trend, cohort, and segmentation analysis across procedures and providers to detect anomalies.
  • Designed and maintained ETL pipelines using Snowflake and AWS Glue for analytics ready datasets.
  • Developed optimized data models and aggregated tables to facilitate recurring analysis and reporting.
  • Created Tableau dashboards tracking costs, claim volumes, and utilization trends for leadership.
  • Conducted deep dive analyses supporting budgeting, forecasting, and evaluation of policy changes.
  • Collaborated with business, finance, and clinical stakeholders to communicate insights effectively.
  • Executed data validation and quality checks ensuring accuracy across multiple data sources.

Data Scientist

Capital One
New York
05.2023 - 06.2024
  • Leveraged SQL (CTEs, window functions, subqueries) and Python (Pandas, NumPy) to extract insights from credit card and transactional datasets, revealing customer spending behaviors, credit utilization trends, and repayment patterns
  • Conducted in-depth exploratory data analysis to identify drivers of delinquency, balance growth, payment behavior, and lifecycle changes across customer segments.
  • Cleaned, validated, and standardized data from multiple sources to ensure accuracy and reliability for analytics and predictive modeling.
  • Engineered model ready features, including utilization ratios, rolling spend averages, payment consistency metrics, customer tenure, and balance volatility, for credit risk models.
  • Built and evaluated predictive models, such as Logistic Regression and Random Forest, to identify high-risk customer segments, and support credit decision making.
  • Evaluated model performance using metrics like ROC-AUC, precision, recall, and accuracy; performed cross-validation to enhance robustness, and reduce overfitting.
  • Partnered with data engineering teams to maintain automated ETL pipelines and daily data refreshes using AWS (S3, Glue, Lambda), and Snowflake for timely analytics delivery.
  • Optimized SQL queries and data models to enhance performance and efficiency for recurring analyses, reporting, and dashboards.
  • Developed interactive Tableau dashboards to visualize portfolio health, risk metrics, customer segmentation, and trend analysis for business stakeholders.
  • Delivered actionable insights for business reviews, risk strategy discussions, and model monitoring by translating complex analytical results into clear recommendations.

Data Analyst

Arrixon Tech
Hyderabad
04.2017 - 04.2023
  • Analyzed transactional, sales, and customer behavior data to identify revenue drivers, purchasing patterns, and customer segments.
  • Performed exploratory analysis to uncover seasonality trends, regional performance differences, and product-level demand variations.
  • Built customer level features including purchase frequency, recency, average order value, tenure, and churn indicators.
  • Developed machine learning models such as Linear Regression, Logistic Regression, and Random Forest for sales forecasting and churn prediction.
  • Automated recurring data preparation, analysis, and reporting workflows using Python and SQL to improve efficiency and consistency.
  • Created Tableau dashboards to visualize sales performance, customer segmentation, demand forecasts, and business KPIs.
  • Collaborated with product, marketing, and business teams to translate analytical insights into pricing strategies, inventory planning, and customer retention initiatives.
  • Supported leadership with ad hoc analysis, performance reporting, and data driven recommendations.

Education

Bachelor of Technology - Computer Science

Jawaharlal Nehru Technological University
Hyderabad
05-2017

Skills

Data Analysis & Programming: SQL, Python (Pandas, NumPy), Excel
Data Visualization: Tableau, Power BI
Data Warehousing & ETL: Snowflake, AWS Redshift, AWS Glue, Alteryx
Cloud Platforms: AWS (S3, Glue, Lambda, Redshift)
Databases: SQL Server, PostgreSQL, MySQL, Oracle

Timeline

Data Scientist

Optum
06.2024 - Current

Data Scientist

Capital One
05.2023 - 06.2024

Data Analyst

Arrixon Tech
04.2017 - 04.2023

Bachelor of Technology - Computer Science

Jawaharlal Nehru Technological University
Sravanthi M