Summary
Overview
Work History
Education
Skills
Timeline
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Spurthi Patnam

Chicago,IL

Summary

Accomplished Data Analyst with a proven track record leveraging Python, SQL, Excel, and Tableau to uncover actionable insights and drive revenue growth across healthcare and financial industries. Skilled in ARIMA modeling and advanced statistical techniques, I excel in transforming complex datasets into strategic recommendations that enhance campaign effectiveness and organizational planning . Adept at collaborative problem-solving and presenting findings to both technical and non-technical stakeholders, ensuring data-driven decisions are clearly understood and implemented.

Overview

8
8
years of professional experience

Work History

Data Analyst

Affinity Solutions
06.2022 - Current
  • Analyzed large volumes of bank and retail data using Python, SQL, and Excel to uncover trends in customer purchase behavior, enabling data-driven business decisions.
  • Developed and maintained interactive Tableau dashboards, providing real-time visibility into marketing campaign performance and budget alignment for banks and merchants.
  • Designed an ARIMA-based machine learning model to accurately forecast sales for loyal retailer brands, enhancing strategic planning and revenue growth potential.
  • Created Excel-based tools and monthly reports employing advanced spreadsheet functions, streamlining the extraction of key metrics for stakeholder presentations.
  • Applied statistical methods to derive actionable insights from complex datasets, guiding cross-functional teams in optimizing card usage and campaign effectiveness.
  • Utilized data visualization techniques to communicate findings clearly, driving consensus and informed decision-making across business units.

Data Scientist Intern

Ironwood Pharmaceuticals
02.2021 - 07.2021
  • Applied advanced statistical methods to IBM Watson MarketScan (Truven) data to determine anxiety and depression prevalence among IBSC-C patients, analyzing insurance claims from health insurers and large employers.
  • Developed and optimized Python programs for claim-level and patient-level analysis on Medicare data, integrating hypothesis testing to reveal a 20% higher probability of anxiety and depression among IBSC medication users.
  • Performed exploratory data analysis (EDA) with NumPy, Pandas, and Seaborn, categorizing results by disease CPT codes to inform data-driven decisions.
  • Collaborated closely with department heads and cross-functional teams to ensure quality assurance of existing Python programs, maintaining meticulous detail when updating ICD-9 to ICD-10 codes.
  • Presented findings to stakeholders, data science teams, and non-technical audiences via PowerPoint, and documented methodologies and outcomes in SharePoint for future reference and reproducibility.

Data Analyst Intern

Quadrant Resource
05.2017 - 11.2019
  • Created and retrieved information from relational databases.
  • Gained insights by normalizing data up to 3NF and utilized joins, CTE, and window functions to solve complicated MySQL queries.
  • Performed exploratory data analysis using python pandas and numpy packages on employee demographics to observe the root cause of
  • Created clear and understandable Tableau dashboards and reports.

Education

Master of Science - Analytics, Statistical Modeling

Northeastern University
Boston, MA
04-2022

Bachelor of Technology - Computer Science And Engineering

Jawaharlal Nehru Technological Institute
Hyderabad,India
08-2019

Skills

  • Programming & Scripting: Python (NumPy, pandas, Seaborn), SQL
  • Data Visualization: Tableau, Matplotlib, Seaborn, PowerPoint presentations
  • Machine Learning: ARIMA modeling, predictive analytics
  • Statistical Analysis: Hypothesis testing, advanced statistical methods
  • Data Analysis: Exploratory Data Analysis (EDA), Data Cleaning, Transformation,Validation,Data Wrangling, Forecasting, Dashboard Creation, KPI Tracking
  • Databases & Tools: AWS, Excel (advanced functions, pivot tables)
  • Business Impact: Customer Purchase Behavior Analysis, Marketing Campaign Optimization, Revenue Growth Strategies

Timeline

Data Analyst

Affinity Solutions
06.2022 - Current

Data Scientist Intern

Ironwood Pharmaceuticals
02.2021 - 07.2021

Data Analyst Intern

Quadrant Resource
05.2017 - 11.2019

Master of Science - Analytics, Statistical Modeling

Northeastern University

Bachelor of Technology - Computer Science And Engineering

Jawaharlal Nehru Technological Institute
Spurthi Patnam