Summary
Overview
Work History
Education
Skills
Personal Information
Languages
Timeline
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Upendhranaidu Nara

Wichita,USA

Summary

  • Over 4 years of professional experience in Data Science and Data Analytics, specializing in Artificial Intelligence, Deep Learning, Machine Learning, Data Mining, and Statistical Analysis.
  • Proficient in advanced analytics techniques, including machine learning, deep learning, and natural language processing, for solving complex business challenges.
  • Skilled in data acquisition, cleaning, and transformation, utilizing data manipulation libraries such as Pandas, NumPy, and SQL.
  • Experienced in the full data science project lifecycle, including data extraction, cleaning, statistical modeling, and visualization with large structured and unstructured datasets.
  • Demonstrated expertise in building and fine-tuning machine learning models for regression, classification, and clustering, using ScikitLearn, TensorFlow, and PyTorch.
  • Proficient in applying NLP techniques for sentiment analysis and extracting insights from unstructured text data to improve decision-making processes.
  • Created compelling data visualizations and dashboards using Matplotlib, Tableau, and Power BI to effectively convey insights.
  • Familiar with big data technologies such as Hadoop, Spark, and AWS services for efficient handling and analysis of large-scale datasets.

Overview

5
5
years of professional experience

Work History

Data Scientist

CVS Health
KS, USA
02.2024 - Current
  • Created sophisticated data visualizations and dashboards using Tableau, Power BI, and Python (Matplotlib, Seaborn), automating reporting processes to enhance data-driven decision-making.
  • Led a team of data analysts in developing financial models and implementing Agile methodology, ensuring effective project execution and team collaboration.
  • Conducted in-depth customer behavior analysis and built predictive models using machine learning techniques such as regression, classification, and clustering with ScikitLearn, XGBoost, and TensorFlow, achieving high accuracy in forecasting.
  • Designed and implemented interactive reports and dashboards using R Shiny and Excel, providing actionable insights for executives and stakeholders.
  • Utilized Python packages (NumPy, SciPy, pandas, Scikit-learn) for data imputation, model development, and advanced analytics.
  • Worked with integrated development environments (Visual Studio Code, Jupyter notebooks) to streamline data analysis, modeling, and visualization processes.
  • Assisted in processing and analyzing large datasets to support banking operations and marketing strategies, uncovering valuable trends and growth opportunities.
  • Performed rigorous quality assurance checks to ensure data integrity and accuracy, supporting senior analysts with ad-hoc projects and enhancing overall team productivity.

Data Analyst

Webster Bank
KS, USA
01.2023 - 10.2023
  • eveloped detailed reports, dashboards, and scorecards using Tableau, improving data visualization and stakeholder communication.
  • Wrote complex SQL queries to test the ETL process, ensuring data accuracy and integrity.
  • Performed data analysis and maintenance on MySQL databases, enhancing data quality and accessibility.
  • Created Python scripts for data science projects, including data acquisition, cleaning, exploration, and modeling.
  • Designed and deployed interactive dashboards with Tableau, providing comprehensive reports to stakeholders.
  • Utilized NumPy, Pandas, Matplotlib, Seaborn, ggplot, and Scikit-Learn libraries to develop machine learning algorithms and models.
  • Designed BI solutions using Snowflake and built dashboards and reports with Tableau and Power BI.
  • Conducted ad-hoc data analysis, prioritized multiple tasks, and contributed to data-driven strategies for business growth.

Data Analyst

Capgemini
Bengaluru, India
07.2019 - 12.2021
  • Developed applications using Python-integrated IDEs (Visual Studio Code, Jupyter notebook) and utilized Alteryx for data science and machine learning automation.
  • Analyzed healthcare data (patient records, claims) to extract insights, developing predictive models for patient readmission risk, medication adherence, and disease outbreak detection with machine learning algorithms.
  • Conducted exploratory data analysis (EDA) with Python libraries (Pandas, Seaborn) and applied NLP techniques for sentiment analysis of patient reviews and unstructured medical text data.
  • Employed big data technologies (Hadoop, Spark) to handle large-scale healthcare datasets and utilized SQL/NoSQL databases for efficient data storage, retrieval, and management.
  • Collaborated with cross-functional teams (clinicians, IT specialists, business analysts) to align data science initiatives with business goals and designed data pipelines using ETL processes for cloud data warehousing (Amazon Redshift, Google Big Query).
  • Designed and developed database models, created SSIS Packages for ETL, and integrated data from multiple sources (Oracle, MSSQL, IBMDB2, Teradata) using Informatica.
  • Created impactful dashboards and data visualizations using Tableau and Power BI, leveraging advanced analytical actions and conducting A/B testing to support decision-making and track sales.
  • Automated workflows with Python scripts and Unix Shell Scripting, optimized SQL queries for faster dashboard rendering, and utilized data blending, filters, and hierarchies in Tableau for comprehensive analysis.

Education

Master of Science in Computer Science -

Wichita State University
Wichita, KS
12.2023

Bachelor of Technology in Electronics and Communication Engineering -

CMRIT
Bengaluru, Karnataka
08.2021

Skills

  • Artificial Intelligence/Deep Learning/Machine Learning
  • Data Mining
  • Statistical Analysis
  • Data acquisition
  • Data cleaning
  • Data transformation
  • Data manipulation
  • ER diagrams
  • Statistical modeling
  • Data visualization
  • Machine learning models
  • Scikit-Learn
  • TensorFlow
  • PyTorch
  • NLP techniques
  • Sentiment analysis
  • Unstructured text data
  • Tableau
  • Power BI
  • Big data technologies
  • Hadoop
  • Spark
  • AWS services
  • Data analysis
  • Data modeling
  • Data Warehouse/Data Mart Design
  • SQL queries
  • SQL Server development
  • IDEs (Visual Studio Code, PyCharm)
  • Dynamic Queries
  • Stored Procedures
  • Triggers
  • User-defined Functions
  • Views
  • Excel data import
  • SQL, Excel, and Python for data extraction, cleaning, and transformation
  • Data accuracy and integrity
  • Data visualization tools (Tableau, Power BI)
  • Analyzing complex datasets
  • Data Warehousing concepts
  • Text Analytics
  • Python
  • Dashboards
  • Agile methodology
  • Waterfall methodology
  • Relational databases
  • Query optimization
  • Data imputation
  • Machine learning algorithms
  • Regression
  • Classification
  • Clustering
  • Gradient Boosting
  • Random Forest
  • KNN
  • K-Means
  • Neural Network
  • CNN
  • Data analysis and maintenance
  • Python libraries (NumPy, Pandas, Matplotlib, Seaborn, ggplot2, Scikit-Learn)
  • Data pipelines
  • ETL processes
  • Data warehousing solutions (Amazon Redshift, Google Big Query)
  • SQL and NoSQL databases
  • Healthcare analytics
  • Predictive models
  • Electronic health records (EHRs)
  • Cloud computing (AWS, Azure)
  • Data blending
  • Data governance
  • A/B testing
  • Data analysis and reporting
  • Data migration
  • Data stories and visualizations
  • Unix Shell Scripting
  • SQL Server
  • Data quality criteria
  • Database models
  • Hive tables
  • Sqoop
  • Data analysis using ggplot2 library in R
  • Predictive models using machine learning algorithms
  • NoSQL Database (MongoDB)
  • T Pattern Algorithm
  • Data cleaning and preprocessing
  • Data extraction from multiple sources
  • Analytics Automation Platform (Alteryx)
  • Data science project life cycle
  • Data exploration
  • Marketing Analytics
  • Data Collection
  • Web Analytics
  • Ad Hoc Analysis
  • Data Masking
  • Image Processing
  • ML Tools/Framework (PyTorch, Keras, TensorFlow, DarkNet, OpenCV, Spark MLLib)

Personal Information

Title: Data Scientist/Data Analyst

Languages

English
Professional
Telugu
Professional
Hindi
Professional
kannada
Professional
Spanish
Elementary

Timeline

Data Scientist

CVS Health
02.2024 - Current

Data Analyst

Webster Bank
01.2023 - 10.2023

Data Analyst

Capgemini
07.2019 - 12.2021

Master of Science in Computer Science -

Wichita State University

Bachelor of Technology in Electronics and Communication Engineering -

CMRIT

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Upendhranaidu Nara