Cheela Sai Srikar

Angestellt, Senior associate - data analyst, PwC
Bengaluru, Indien

Fähigkeiten und Kenntnisse

Machine Learning
Data Analytics
Data Science
Large Language Models
SQL
Python
Tableau
Konstanz Information Miner (KNIME)
Microsoft Power BI
Project Management
Statistics
Business Intelligence
Data visualisation
Analytics
Dashboards
Artificial intelligence
ML
Reporting
KPI
Python pandas
NumPy
Statistical Analysis
Engineering
Technology
Automation
Application
Quality Management
Mathematics
ETL

Werdegang

Berufserfahrung von Cheela Sai Srikar

  • Bis heute 11 Monate, seit Feb. 2025

    Senior associate - data analyst

    PwC

  • 2 Jahre und 1 Monat, Feb. 2023 - Feb. 2025

    Data visualization associate

    J P Morgan Chase

    Built Looker dashboards and automated SQL ETL pipelines; cut reporting time 90% and improved agent performance reporting • Consolidated 18 consumer banking tableau reports into 5 Looker explores and optimized queries to reduce median runtime by 45% • Development of defined Key Performance Indicators (KPIs). • Identification and harmonization of data sources. • Creation of dashboards to support root cause analyses. • Analysis of internal and external datasets.

  • 1 Jahr und 8 Monate, Juni 2021 - Jan. 2023

    Quality analytics expert

    Sartorius

    Developed quality KPIs and BI dashboards using Tableau to close customer feedback loops and track end-to-end quality trends. • Built SQL-powered performance analytics that reduced complaint-handling time 20% and improved first-contact resolution rates. • Automated data ingestion and reporting for manufacturing and quality processes, cutting manual reporting effort to 70% using Python • Supported digital transformation initiatives

  • 2 Jahre, Jan. 2018 - Dez. 2019

    Research Associate

    Tata Steel

    Performed exploratory data analysis on production and sensor logs (SQL, Python, Tableau) to map bottlenecks across 6 production lines. • Designed and analyzed 12 controlled experiments for new product formulations; shortlisted 3 high-potential variants for pilot runs. • Reduced average scrap rate 22% on tested batches by optimizing process parameters derived from regression and ANOVA analysis. • Built interactive Tableau dashboards and automated SQL extracts

Sprachen

  • Englisch

    Fließend

  • Telugu

    Muttersprache

  • Hindi

    Fließend

  • Deutsche

    Grundlagen

  • Deutsch

    Grundlagen

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