Tarannum Syed

Data Analyst

Hyderabad, India 0+ yrs exp 82 · Excellent

About

Data Analyst with 1+ year of experience designing ETL pipelines, Power BI & Tableau dashboards, and KPI reporting frameworks that accelerate data-driven decision-making. Proven ability to translate raw business data into stakeholder-ready insights across sales, attrition, and customer analytics. Adept at data governance, validation, and cross-functional reporting in fast-paced environments aligned with consulting-grade standards.

Skills & Expertise (30)

Python Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

Time management Intermediate

6.0/10

Years Exp

Attention to Detail Intermediate

6.0/10

Years Exp

Problem Solving Intermediate

6.0/10

Years Exp

Analytical Thinking Intermediate

6.0/10

Years Exp

Trend Analysis Intermediate

6.0/10

Years Exp

Stakeholder Reporting Intermediate

6.0/10

Years Exp

Data Governance Intermediate

6.0/10

Years Exp

Dashboard Development Intermediate

6.0/10

Years Exp

KPI Reporting Intermediate

6.0/10

Years Exp

Data Validation Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

6.0/10

Years Exp

ETL Pipeline Design Intermediate

6.0/10

Years Exp

NumPy Intermediate

6.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

Microsoft Excel Intermediate

6.0/10

Years Exp

Seaborn Intermediate

5.5/10

Years Exp

Matplotlib Intermediate

5.5/10

Years Exp

Jupyter Notebook Intermediate

5.5/10

Years Exp

ChatGPT Intermediate

5.0/10

Years Exp

Microsoft Copilot Intermediate

5.0/10

Years Exp

EDA Power Automate Power Apps Word PowerPoint Excel

Work Experience

Data Analyst Trainee

Bosscoder Academy

Aug 2025 - Present

Engineered ETL pipelines using SQL & Python (Pandas, NumPy), automating data ingestion and wrangling workflows that improved reporting accuracy by 20%. Developed 6+ KPI dashboards in Power BI & Tableau with statistical modeling and anomaly detection, enabling self-service analytics for cross-functional stakeholders. Executed root cause analysis and enforced data governance and data quality standards, cutting issue resolution time by 30% and strengthening data hygiene across ETL workflows. Applied data validation, data modeling, and QA protocols on ETL workflows, aligning KPI reporting with stakeholder requirements and audit standards.