Summary
Overview
Work History
Education
Skills
Certification
Awards
Timeline
Generic

GREESHMA REDDY

Chicago,IL

Summary

  • Analytical Data Analyst with solid background in data analysis and business intelligence.
  • Known for translating complex data sets into actionable business insights and contributing to strategic decision-making processes.
  • Demonstrated expertise in statistical analysis and data visualization.
  • Experienced with data manipulation, statistical analysis, and data visualization.
  • Utilizes advanced analytical techniques to uncover trends and inform business strategies.
  • Track record of employing critical thinking skills to solve complex problems and deliver meaningful insights.
  • Release-planning specialist trained in advanced Excel modeling. Creative solutions architect with real-time problem-solving flexibility.
  • Data professional with keen eye for detail and passion for uncovering actionable insights from data.
  • Proven track record of utilizing data analysis and visualization tools to drive business decisions and optimize processes.
  • Team-oriented with strong focus on collaboration and adaptability, consistently delivering reliable results in dynamic environments.
  • Adept in data visualization, statistical analysis, and database management, with strong focus on teamwork and adaptability.
  • Known for reliability, analytical thinking, and results-driven approach. Skilled in Python, SQL, and Excel, ensuring robust data solutions and strategic recommendations.
  • knowledge in data warehousing, process validation and business needs analysis.
  • Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Analyst

United Health Group/OptumRX
10.2023 - Current
  • Produced monthly reports using advanced Excel spreadsheet functions.
  • Utilized data visualization tools to effectively communicate business insights.
  • Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
  • Improved decision-making processes with accurate data analysis and visualization techniques.
  • Used statistical methods to analyze data and generate useful business reports.
  • Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
  • Managed large-scale databases to ensure timely access to critical information for key stakeholders.
  • Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
  • Developed custom algorithms to optimize data mining, increasing the effectiveness of analytical insights.
  • Enabled more personalized customer experiences by analyzing behavior patterns and preferences.
  • Streamlined data access for remote teams by implementing cloud-based data management solutions.
  • Collaborated with IT to ensure data security measures were in place, safeguarding sensitive information.
  • Facilitated knowledge sharing by creating centralized data repository accessible to all relevant parties.
  • Conducted comprehensive data analysis to support strategic planning, leading to more informed decision-making.
  • Optimized data collection methods to enhance quality and volume of data captured for analysis.
  • Analyzed data to identify root causes of problems and recommend corrective actions.
  • Developed customized reports, summarizing and presenting data in visually appealing format.
  • Utilized data visualization techniques to present and explain complex data sets.
  • Designed and developed data pipelines to acquire, clean and process data.

Data/ML Engineer

Amazon Development Center
07.2018 - 10.2023
  • Cleaned, manipulated, analyzed and processed large sets of data using statistical techniques
  • Identified business problems and management objectives that was addressed through data analysis
  • Designed surveys, opinion polls, or other instruments to collect data
  • Tested, validated and reformulated models to deliver accurate prediction of outcomes of interest
  • Utilized natural language processing to extract insights from unstructured text data sets
  • Compared models using statistical performance metrics, such as loss functions and proportion of explained variance
  • Engineered a fast, adaptable machine learning model that improved the efficiency of Google's search accuracy by 30%
  • Led a team of five to design and implement a predictive model using deep learning algorithms, increasing the speed of data analysis by 40%
  • Collaborated with cross-functional teams to improve the UI of Google's search engine, enhancing user experience by 20%
  • Developed a robust data pipeline that reduced manual data extraction time by 50%
  • Designed and implemented machine learning systems that increased the accuracy of Amazon's product recommendation feature by 60%
  • Created data models that optimized the company's warehouse management system, increasing efficiency by 25%
  • Initiative led to increased customer satisfaction by 15% due to accurate and relevant product recommendations
  • Engineered a Natural Language Processing (NLP) model that increased the speed of text analysis by 60%
  • Leading research on bias mitigation technologies in NLP to enhance fairness while preserving user privacy
  • Building and deploying ML solutions in creating unified user experiences for Alexa Shopping across different devices
  • Working in cross-functional teams, overseeing prototype to production, and communicating results with stakeholders
  • Supervising research internships and coaching and mentoring junior team members
  • Selected for the Model Accuracy Improvement Program, I spearheaded workflow refinement initiatives aimed at enhancing efficiency leading to 50% reduction in user-reported errors, alongside notable improvements in Average Handling Time (AHT), Quality, and overall process effectiveness
  • Implemented comprehensive knowledge-sharing strategies within the team to enhance understanding of workflow processes, leading to a significant 40% decrease in the volume of support tickets related to seeking clarification on conventions and intricacies of processes
  • Spearheaded daily oversight and management of Overturn reviews, conducted root-cause analysis of the team's Overturns offering actionable insights for process improvement
  • Appointed as the designated liaison and Point of Contact (POC) for the team in GEMBA Connect with stakeholders responsible for addressing the team's concerns related to Sensai technology during project execution and resolving process-related concerns to ensure operational efficiency
  • Proposed and delivered a deep generative model for 'universal' speech synthesis, which can be used regardless of speaker identity or language and can therefore massively save cost in TTS production and speed up launch of new TTS voices
  • Collaborated with engineers to scale up Alexa TTS production and launch new voices in multiple regions and countries
  • Environment: Machine Learning, Natural Language Processing, Statistic Technique's, Alexa Shopping, Text to Speech, GEMBA, Data Extraction, Data Pre-processing, Data Cleaning

Education

BACHELOR'S - COMPUTER SCIENCE

Jawaharlal Institute of Engineering and Technology

Skills

  • Power BI Reporting
  • Big Data
  • Large dataset manipulation
  • Data extraction
  • Processing
  • ETL Data Pipeline
  • Design
  • Data Preprocessing
  • Data Cleaning
  • Data Migration
  • Machine Learning
  • NoSQL Databases
  • Data pipeline control
  • SQL
  • Python Programming
  • Data Governance
  • Data Integration
  • Data Quality Assurance
  • Tableau
  • ETL processes
  • Data formatting
  • Data quality assurance processes
  • Statistics and SAS
  • UNIX platform
  • Structured query language (SQL)
  • Transact SQL

Certification

  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Certification on Udemy for Azure Databricks & Spark for Data Engineers (PySpark/ SQL)

Awards

  • Won Amazon 'Star Performer' Award twice for exceeding expectations and benchmark set on all metrics including Productivity, Quality & Velocity.
  • Received Amazon 'Thank You! Card' in acknowledgment of leading team engagement activities helping in building a cohesive team environment.
  • Won Amazon 'Master Blaster' for processing high units and clearing backlog volumes.

Timeline

Data Analyst

United Health Group/OptumRX
10.2023 - Current

Data/ML Engineer

Amazon Development Center
07.2018 - 10.2023

BACHELOR'S - COMPUTER SCIENCE

Jawaharlal Institute of Engineering and Technology

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