Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Timeline
Generic

Pushaan Kaustubh Potti

Dallas,TX

Summary

Data Analyst with 4+ years of experience in data integration and scalable data modeling, with expertise in SQL and Python. Key achievements include developing data-driven dashboards that enhanced decision-making and boosted repayment efficiency by 17%, as well as automating workflows that reduced production dependencies.


Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Analyst (SQL, SAS, Tableau, Power BI)

Mid-Atlantic Permanente Medical Group
01.2023 - 08.2025
  • Company Overview: Healthcare org. Focused on integrated care.
  • Improved clinical decision-making by analyzing patient-intake data with SAS, evaluating 90 key health measures and surfacing high-risk patient cohorts that informed physician treatment plans and care-management strategies.
  • Extracted and manipulated large-scale medical datasets to support patient care, leveraging ETL processes and quantitative analysis techniques.
  • Optimized SAS solutions under NCQA specs, ensuring timely HEDIS and quality report delivery, impacting healthcare quality.
  • Built interactive Power BI dashboards with SAS and SQL to visualize health KPIs. Enabled clinicians and executives to monitor trends and make informed decisions via self-service analytics.
  • Automated SAS code with a Gitea macro framework, reducing manual effort, runtime, and improving reproducibility and auditability with version control.

Data Analyst Co-op (SQL, Python, Tableau)

State Street
01.2022 - 06.2022
  • Company Overview: Financial services and investment management company
  • Engineered a SQL Server data migration pipeline, importing and mapping Oracle DB tables to ensure reliable, high-quality datasets for downstream analytics.
  • Built a scalable SQL framework with advanced functions and procedures, improving data integration efficiency by 20% and accelerating data availability for modeling and analysis.
  • Automated post-trade data validation and reporting with Python. Produced summary reports, decreasing manual tasks and improving accuracy.
  • Designed and maintained interactive Tableau dashboards, enabling stakeholders to monitor trade market trends, uncover insights, and support data-driven decision-making.
  • Applied statistical and analytical methods to interpret large, complex datasets using Oracle SQL Server and Charles River Development, contributing to more accurate risk assessments and operational strategies.
  • Retrieved and synthesized multi-source data into dynamic client-facing documentation and reports, improving transparency, trust, and stakeholder confidence.

Data Scientist (SQL, R, Tableau)

Kissht
06.2019 - 12.2020
  • Company Overview: Fintech startup focused on consumer loans and credit
  • Designed, developed, and deployed a data-driven dashboard in R (Shiny & ggplot2) to analyze loan-application patterns, identify key rejection drivers, and deliver actionable insights to underwriting and policy teams – reducing loan rejections by 15% within six months.
  • Performed advanced statistical modeling and feature engineering to uncover high-impact risk factors and recommended policy changes adopted by senior management.
  • Engineered the 'Dialer Matrix' dashboard in R and SQL, integrating multi-source call-center and payment data to track daily/weekly business KPIs such as call-to-payment ratio and agent efficiency.
  • Optimized data pipelines and introduced automated refresh schedules, enabling real-time monitoring and contributing to a 17% improvement in repayment efficiency.
  • Partnered cross-functionally with the Repayments Business team to design and implement a suite of strategic financial and operational reports using R, SQL, and Tableau, giving leadership a clearer view of revenue leakage and collection performance.
  • Delivered insights that informed pricing and outreach strategies, driving a 12% increase in overall profit margin year-over-year.

Education

MS - Data Analytics Engineering, Data science & ML

Northeastern University
Boston, MA
12.2022

Bachelor of Science - Mechanical Engineering

Indian Institute of Technology Tirupati
Tirupati,India
05.2019

Skills

  • SQL
  • Python
  • Tableau
  • Microsoft Power BI
  • R
  • ETL
  • Microsoft Office
  • Pandas
  • NumPy
  • Microsoft SQL Server
  • Apache Spark
  • Microsoft Azure
  • AWS
  • PySpark
  • Databricks
  • Communication
  • Leadership

Accomplishments

  • Data Integration Success - Achieved 40% optimization in MySQL data retrieval times through advanced data integration techniques.
  • Data Migration - Led end-to-end migration project transferring multi-terabyte datasets from Oracle to SQL Server; collaborated with application teams to optimize ETL processes and verify data integrity, resulting in a flawless cutover.
  • Scalable Data Models Impact - Implemented scalable data models leading to a 17% increase in repayment efficiency and improved metrics.
  • Enhanced Healthcare Metrics - Developed data solutions that improved healthcare quality metrics by meeting NCQA project targets efficiently.

Certification

DATA SCIENCE AND MACHINE LEARNING: MAKING DATA-DRIVEN DECISIONS — MIT Schwarzman College of Computing OCT 2023

Timeline

Data Analyst (SQL, SAS, Tableau, Power BI)

Mid-Atlantic Permanente Medical Group
01.2023 - 08.2025

Data Analyst Co-op (SQL, Python, Tableau)

State Street
01.2022 - 06.2022

Data Scientist (SQL, R, Tableau)

Kissht
06.2019 - 12.2020

MS - Data Analytics Engineering, Data science & ML

Northeastern University

Bachelor of Science - Mechanical Engineering

Indian Institute of Technology Tirupati
Pushaan Kaustubh Potti