DATA · ANALYTICS · AI

Manideep Pippari

Data Engineer & AI Analyst turning raw data into intelligent, business-ready insights. I design end-to-end data solutions from pipelines and warehouses to machine learning models and executive dashboards.

About Me

I'm Manideep Pippari, a Data Analyst and AI Analyst based in Los Angeles. I specialize in transforming raw data into meaningful insights through machine learning, data visualization, and cloud analytics solutions.

Skills

PythonSQLPower BITableauAWSSnowflakeMachine LearningPandasNumPyScikit-learnAirflow

Experience

PNC Bank

Data Analyst • Aug 2024 – Present

  • Performed comprehensive data mining and statistical analysis using Python and SQL to identify customer spending patterns.
  • Developed Tableau dashboards using star schema modeling to support executive decisions.
  • Optimized SQL queries and automated SSRS reports, reducing manual reporting.
  • Built ETL workflows in Snowflake for improved data governance.
  • Designed KPI dashboards with automated alert mechanisms.

Vivma

Data Analyst • Sep 2020 – Aug 2023

  • Conducted data QA using SQL and Python, reducing dataset error rates.
  • Designed predictive models identifying high-risk customer segments.
  • Created Power BI dashboards for IT Services Revenue & Customer Growth KPIs.
  • Collaborated with Agile teams to evaluate engagement metrics and pricing strategy tests.
  • Maintained AWS Redshift pipelines and Git version control for KPI dashboards.

Featured Projects

Global Sustainable Energy Analysis

Analyzed worldwide renewable vs non-renewable trends using Python, SQL and Power BI; forecasted sustainability adoption rates and policy performance.

Tech: Python, SQL, Power BI, Tableau

View on GitHub

Achievements & Certifications

6+
Projects
2+
Certifications
4+
Years of Experience

Get in Touch

I'm open to opportunities in data engineering, analytics, and AI-driven roles. If you'd like to discuss a role, collaboration, or project, feel free to drop a message.

Email: mani.pippari@gmail.com

Phone: +1 (872) 328-6416

Location: Los Angeles, CA