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deeksha24dua

Deeksha D

@deeksha24dua

Analyst

Stati Uniti
Inglese, Hindi
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a data professional with over two years of experience as an Analyst at EY, specializing in ETL pipelines, SQL, and Python. I have a proven track record of automating data quality validation and developing interactive Tableau dashboards to drive business insights. Currently, I am pursuing my Master's in Data Science with a 4.0 GPA to further my expertise in machine learning and big data engineering.... Continua a leggere

Competenze

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deeksha24dua
Deeksha D
offline • 
Tempo di risposta medio: 13 ore

Consulta i miei servizi

Consulenza di data analytics
I will build python sql etl pipelines and tableau dashboards for data analytics

Esperienza lavorativa

EY

Analyst

EY • Full time

Jul 2022 - Jul 20242 yrs

Designed and maintained ETL data pipelines using SQL and Python to extract, transform, and load structured datasets across 15+ audit projects, reducing data processing time by 25% and supporting timely delivery across all engagements. Built and automated data quality validation scripts in Python, reducing manual data auditing effort by 80% and ensuring data integrity across IT general controls and application controls testing. Developed 10+ interactive Tableau dashboards to deliver actionable business insights to senior stakeholders across 3+ service lines, achieving 95% data accuracy on financial and operational datasets. Performed exploratory data analysis (EDA) and data mining using Python (Pandas, NumPy) across 5+ complex datasets, uncovering hidden patterns that directly informed risk mitigation recommendations. Conducted data-driven IT risk assessments by gathering and analysing financial reports and key business metrics using data analytics tools, supporting audit decisions across 15+ engagements. Mentored 10+ new hires on data analysis best practices, SQL querying, and data visualization using Tableau and Alteryx; facilitated 12+ cross-functional meetings ensuring 90% on-time delivery.