Hi, I'm Shiva Kranthi

Data Analyst & Information Systems Specialist

Transforming complex data into actionable insights with over 3 years of experience in data analysis, statistical modeling, and cloud technologies. Passionate about driving data-driven decisions that create real business impact.

Boston, USA
shivakranthimaddhuri@gmail.com
Shiva Kranthi Maddhuri
DA

About Me

Passionate data analyst with expertise in transforming complex datasets into actionable business insights using cutting-edge technologies and methodologies.

Professional Summary

Data Analyst with over 3 years of experience in data analysis, statistical modeling, and big data technologies. Currently working at CVS Pharmacy, where I've successfully improved customer retention by 20% and reduced data processing time by 30%.

I specialize in Python-based data analysis, cloud platforms (AWS, Google Cloud), and creating interactive dashboards that drive strategic decision-making. My expertise includes ETL pipeline optimization, statistical modeling, and ensuring HIPAA compliance in healthcare data environments.

Education

M.S. in Information Systems

Northeastern University, Boston | 2022 - 2024

Key Achievements

20% Increase

Customer retention improvement at CVS Pharmacy

30% Reduction

Data processing time optimization

15% Improvement

Inventory management enhancement

75% Automation

Customer interactions via AI chatbot

Technical Skills

Languages & Frameworks

Python
SQL
R
Pandas
NumPy
SciPy
Scikit-learn

Data Analysis & Visualization

Power BI
Tableau
Matplotlib
Seaborn
Statistical Modeling

Big Data & ETL

Hadoop
Apache Spark
Talend
Informatica

Databases & Cloud

MySQL
PostgreSQL
AWS
Google Cloud
Snowflake
BigQuery

Featured Projects

Explore my portfolio of data-driven projects that showcase expertise in analytics, machine learning, and business intelligence solutions.

AI Chatbot with AWS Integration

Developed an intelligent AI chatbot leveraging Python and AWS services (SageMaker, EC2, S3) with seamless PostgreSQL integration, automating 75% of customer interactions and reducing manual intervention by 50%.

Key Achievements:

  • 75% automation of customer interactions
  • 50% reduction in manual intervention
  • 30% rise in self-service adoption
Python
AWS SageMaker
PostgreSQL
EC2
S3
NFT Marketplace Analytics Platform

Designed and automated a 3NF MySQL database using Python, streamlining NFT data ingestion and integration to enable efficient analysis of marketplace engagement metrics.

Key Achievements:

  • 25% improvement in key performance outcomes
  • Automated data ingestion pipeline
  • Enhanced participant behavior analysis
Python
MySQL
Data Analytics
ETL
Customer Retention Analytics Dashboard

Built comprehensive analytics dashboard using Power BI and Tableau to track customer behavior patterns, resulting in 20% improvement in customer retention at CVS Pharmacy.

Key Achievements:

  • 20% increase in customer retention
  • Real-time dashboard implementation
  • Cross-functional team collaboration
Power BI
Tableau
Python
SQL
Statistical Modeling

Professional Experience

Over 3 years of experience in data analysis, statistical modeling, and implementing data-driven solutions across healthcare and technology sectors.

CVS Pharmacy

Data Analyst

Dec 2024 – Present
USA
Full-time

Leading data analysis initiatives to drive customer retention strategies and optimize business operations through advanced analytics and cloud-based solutions.

Key Achievements:
  • Conducted advanced data analysis using Python (Pandas, NumPy) and SQL to identify trends and drive customer retention strategies, leading to a 20% increase in customer satisfaction
  • Automated ETL processes with Talend and Informatica, reducing data processing time by 30%
  • Built interactive dashboards and reports in Power BI and Tableau, enhancing decision-making for key stakeholders
  • Collaborated with cross-functional teams to implement cloud-based solutions on AWS (Lambda, S3, CloudWatch), improving inventory management and reducing stock discrepancies by 15%
  • Performed statistical modeling using Scikit-learn and R to forecast sales trends, resulting in a 10% improvement in revenue forecasting accuracy
  • Ensured compliance with HIPAA standards while handling sensitive healthcare data
Technologies Used:
Python
SQL
Power BI
Tableau
AWS
Talend
Informatica
Scikit-learn
R

I Sparrow

Data Analyst

July 2020 – Aug 2022
India
Full-time

Analyzed customer transaction data and implemented data-driven solutions to improve customer engagement and optimize business processes.

Key Achievements:
  • Analyzed customer transaction data using Python and SQL, identifying key trends that improved customer engagement by 15%
  • Applied statistical techniques to enhance the accuracy of targeted marketing campaigns and service delivery
  • Built interactive dashboards in Tableau and Power BI to visualize key performance indicators (KPIs) and support strategic decision-making
  • Managed data warehousing solutions like Google BigQuery and Snowflake, optimizing ETL pipelines for better compliance and performance monitoring
  • Streamlined reporting processes by automating the generation of performance reports, reducing manual effort by 25%
Technologies Used:
Python
SQL
Tableau
Power BI
Google BigQuery
Snowflake
ETL

Get In Touch

Ready to collaborate on your next data project? I'd love to hear from you. Let's discuss how we can turn your data into actionable insights.

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