Summary
Overview
Work History
Education
Websites
Certification
Technical Skills
Timeline
Generic

Sravani Rudhra

Summary

Data analytics enthusiast with over 5 years of professional fintech experience in Business Intelligence, Data Mining, and Visualization. Adept in analyzing and driving large volumes data into actionable insights. Proficient in Business Analysis, Modeling, Customer Analytics, Dashboarding and Reporting using SQL, SAS, Python, Tableau by building analytical frameworks to solve business challenges.

Overview

11
11
years of professional experience
1
1
Certification

Work History

Data Analyst

Walmart
CA
06.2022 - Current
  • Managing Legal requests related to payment actions, funds movement and provide seller related data.
  • Support final payout process of customers by extracting and analyzing data.
  • Design and implement data pipelines using EMR technologies to ingest, transform, and store large datasets.
  • Developed a real time performance dashboard for monitoring key matrices across multiple departments. Used PowerBI connected to a SQL database to pull data dynamically.
  • Utilized Python and Pandas to perform data cleansing, transformation, and aggregation operations on large datasets.
  • Hands-on experience with Nielsen syndicated data for tracking retail sales, market share, and category trends. Proficient in analyzing consumer behavior and competitive performance using Nielsen tools and datasets.
  • Acted as a primary point of contact for sales representatives, troubleshooting Salesforce tooling issues, resolving report discrepancies, and ensuring seamless operations.
  • Investigated and resolved issues related to report access, customer contact records, and baseline reports, enhancing data accuracy and accessibility.
  • Used Excel-based tools using advanced features like Data Validation, Conditional Formatting, and Named Ranges.
  • Utilized Excel functions (VLOOKUP, INDEX-MATCH, IF, SUMIFS) to clean and analyze large datasets for business reporting.
  • Utilized advanced data analysis techniques to evaluate transaction patterns, fraud detection, and customer behavior within the payments and financial services sector, contributing to a reduction in fraudulent activities and improving customer segmentation.
  • Developed and optimized pricing strategies and monetization models for payment processing platforms, resulting in an increase in revenue through effective fee structuring and value-added services.
  • Built and maintained strong relationships with clients, ensuring alignment between their needs and organizational offerings.
  • Partnered closely with the Customer Success team to identify upselling opportunities and drive customer satisfaction, resulting in increased client retention rates.
  • Analyzed and processed sales funnel data to track lead progression, identify bottlenecks, and improve conversion rates.
  • Collaborated with cross-functional teams to streamline onboarding processes and enhance the customer experience.
  • Analyzed customer feedback and sales trends to proactively address challenges, resulting in improved satisfaction scores and sustained client relationships.
  • Developed and maintained comprehensive dashboards and reports to ensure compliance with financial regulations and industry standards, leveraging tools like SQL and Tableau to provide insights into transaction data, risk management, and financial performance.
  • Automated data processing workflows with python scripts, reducing manual efforts by 40%.

Data Analyst/ Tableau Developer

PayPal
San Jose, CA
03.2020 - 04.2022
  • Effectively interacted with stakeholders, Business Analysts, Data Modelers to define Mapping documents and Design process for various Sources and Targets.
  • Gathering requirements, analyze and create data analysis solutions.
  • Used SQL queries to pull data from data sources and created Tableau dashboards.
  • Support and resolve Tableau users with their queries.
  • Developed and deployed machine learning models to analyze transaction data, detect fraudulent activities, and enhance risk management, leading to a reduction in fraudulent transactions.
  • Utilized SQL for data extraction, transformation, and loading (ETL) processes, optimizing complex queries and ensuring efficient data retrieval for analysis and reporting.
  • Created and maintained Python scripts for data cleaning and preprocessing. Enabled automated workflows to improve data quality, consistency and to make sure all data shown on dashboard is up to date.
  • Developed dynamic Excel dashboards integrating PivotTables, slicers, and conditional formatting to visualize KPIs across customer acquisition, payment success rates.
  • Partnered with finance and risk teams to analyze chargeback patterns and dispute resolution metrics using Excel-based tools.
  • Implemented predictive analytics using R to forecast customer behavior and transaction trends, aiding in strategic decision-making and targeted marketing campaigns.
  • Help Stake holders to visually analyze data as requested.
  • Designed and executed A/B tests to evaluate changes in user experience and marketing strategies, leading to increase in conversion rates and a boost in engagement.
  • Analyzed test results using statistical methods and visualization tools to provide actionable insights and optimize performance, driving data-driven decision-making and strategic improvements.
  • Worked in transitioning on projects from Tableau to Amplitude.

Technical Data Analyst (Bachelor’s project)

Global Logic India
INDIA
01.2014 - 08.2014
  • Drove enhanced customer segmentation and optimization by 25% and 30% respectively, using machine learning algorithms, displaying proficiency in advanced analytics.
  • As a Subject Matter Expert, I demonstrated cost-saving acumen by reducing experimental expenses by 20%, simultaneously enhancing modeling accuracy by 15% for impactful financial analysis.
  • Efficiently harnessed Tableau for data visualization, significantly shortening exploration duration by 40%. Leveraged SQL, SAS, Python to expedite data processing by 50% and bolster predictive accuracy in data science models.

Education

Bachelors - information technology

Guru Nanak College of Engineering
01.2014

Certification

  • Tableau Desktop Specialist
  • Google Data Analytics and SQL for Data Science, Coursera
  • Complete SQL Boot Camp, Udemy

Technical Skills

SQL, Python (Pandas, NumPy, Scikit-Learn), R (ggplot2, dplyr), MySQL, SQL Server, Hadoop, MS Access, No SQL, C#, T_SQL/PLS, Jupyter Notebook, SAS (Base, EG, Miner, JMP), R Studio, Tableau, Power BI, MS Excel (VLOOKUP, Macros, VBA, Pivot tables), MS Office, MS Project, MS Visio, SharePoint, Google Analytics, MATLAB, Salesforce, QlikView, Amazon Web Services (AWS), Data Cleaning, Exploratory Data Analysis, Data Visualization, Hypothesis Testing, Linear and Logistic Regression, Classification, Clustering, PCA, Decision Trees, Random Forests, Neural Networks, Dimension Reduction, Text Analytics, A/B Testing, Search Engine Optimization, Time Series, Qlik, ETL Data Warehousing, Machine Learning Algorithms, NLP, Financial Forecasting, Market Basket Analysis

Timeline

Data Analyst

Walmart
06.2022 - Current

Data Analyst/ Tableau Developer

PayPal
03.2020 - 04.2022

Technical Data Analyst (Bachelor’s project)

Global Logic India
01.2014 - 08.2014

Bachelors - information technology

Guru Nanak College of Engineering

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Sravani Rudhra