Sindhu

Data Administrator

1+ yrs exp 83 · Excellent

About

Results-oriented Data professional with 1+ year of experience in sports data quality management at Stats Perform. Proficient in SQL, Python and Tableau with a strong foundation in machine learning, NLP, and data visualization. Adept at turning complex datasets into actionable insights. Eager to contribute across data engineering, analytics, and operations roles in a growth-driven environment.

Skills & Expertise (16)

SQL Intermediate

6.5/10

Years Exp

ServiceNow Intermediate

6.5/10

Years Exp

Analytical Thinking Intermediate

6.5/10

Years Exp

Cross-team Collaboration Intermediate

6.5/10

Years Exp

Adaptability Intermediate

6.5/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

Root Cause Analysis Intermediate

6.0/10

Years Exp

SLA Adherence Intermediate

6.0/10

Years Exp

Data Quality Assurance Intermediate

6.0/10

Years Exp

issue resolution Intermediate

6.0/10

Years Exp

Tableau Intermediate

5.5/10

Years Exp

Python Intermediate

5.5/10

Years Exp

APIs Intermediate

5.0/10

Years Exp

Database Management Intermediate

5.0/10

Years Exp

Web Applications Intermediate

4.5/10

Years Exp

Trouble Shooting

Work Experience

Data Administrator

Stats Perform

Apr 2025 - May 2026

Manage and validate sports event data across multiple leagues, ensuring >99% accuracy for downstream analytics and client-facing dashboards; audit data pipelines to identify anomalies and enforce quality standards. Resolve 20+ daily client data queries via ServiceNow using root-cause analysis, reducing repeat incidents and improving SLA compliance; contributed to process improvements that enhanced client satisfaction scores. Collaborate cross-functionally with engineering and product teams to document data quality standards and drive continuous improvement in data operations workflows.

Data Science Intern

BarathIntern

Aug 2024 - Jan 2025

Built a Stock Price Prediction model using LSTM and time-series analysis, achieving improved forecasting accuracy over baseline methods; developed a Titanic survival classification model with feature engineering, improving accuracy by 12%. Delivered structured reports and visualizations to stakeholders, communicating model insights clearly to both technical and non-technical audiences.