TANISHQA VENKATRAM

Data Analyst

Bengaluru, India 1+ yrs exp 82 · Excellent

About

Master’s graduate in Computer Science (AI & Big Data) and Data Analyst with 1+ years academic and professional experience transforming large-scale logistics and e-commerce data into actionable business insights. Skilled in SQL, Data Visualization, KPI Reporting, Data Modeling, and Business Intelligence at an enterprise e-commerce platform. Experienced in developing analytics-ready datasets, building reporting frameworks, monitoring operational performance, and collaborating with cross-functional stakeholders to support data-driven decision-making.

Skills & Expertise (48)

SQL Intermediate

7.5/10

Years Exp

Data Analysis Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

KPI Reporting Intermediate

6.5/10

Years Exp

Data Visualization Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Business Intelligence Intermediate

6.5/10

Years Exp

Pivot Tables Intermediate

6.5/10

Years Exp

Dashboard Development Intermediate

6.0/10

Years Exp

EDA Intermediate

6.0/10

Years Exp

Exploratory data analysis Intermediate

6.0/10

Years Exp

Pandas Intermediate

6.0/10

Years Exp

NumPy Intermediate

6.0/10

Years Exp

Data Modeling Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

Seaborn Intermediate

6.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

LOOKUP functions Intermediate

6.0/10

Years Exp

Jira Intermediate

6.0/10

Years Exp

Scrum Intermediate

6.0/10

Years Exp

Agile Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Reporting Automation Intermediate

6.0/10

Years Exp

Statistical Analysis Intermediate

5.5/10

Years Exp

PySpark Intermediate

5.5/10

Years Exp

GCP Intermediate

5.5/10

Years Exp

AWS Intermediate

5.5/10

Years Exp

Azure Intermediate

5.5/10

Years Exp

ETL Intermediate

5.5/10

Years Exp

Data Warehousing Intermediate

5.5/10

Years Exp

Looker Studio Intermediate

5.5/10

Years Exp

DAX Intermediate

5.5/10

Years Exp

BigQuery Intermediate

5.5/10

Years Exp

Data Storytelling Intermediate

5.5/10

Years Exp

Databricks Intermediate

5.0/10

Years Exp

Delta Lake Intermediate

5.0/10

Years Exp

Apache Spark Intermediate

5.0/10

Years Exp

Data Governance Intermediate

5.0/10

Years Exp

Data Quality Intermediate

5.0/10

Years Exp

Data Integration Intermediate

5.0/10

Years Exp

Standardization Intermediate

5.0/10

Years Exp

Schema Design Intermediate

5.0/10

Years Exp

Dimensional Modeling Intermediate

5.0/10

Years Exp

MicroStrategy Intermediate

5.0/10

Years Exp

DBT Intermediate

4.5/10

Years Exp

Data Vault Intermediate

4.5/10

Years Exp

Data Lakehouse Architecture Intermediate

4.5/10

Years Exp

Work Experience

Master Thesis: Fulfillment Planning & Execution Medallion Framework (ZAF)

Zalando

Nov 2025 - Mar 2026

Analyzed high-volume logistics event data to identify operational bottlenecks and key drivers of fulfillment performance. Engineered an incremental data pipeline on Databricks that successfully transitioned reporting from a legacy 168-hour weekly batch cycle to a 24-hour daily steering cycle with a 20-minute processing latency, achieving a 99.8% reduction in insight staleness. Created analytical frameworks to classify supply chain disruptions and identify root causes impacting logistics performance. Performed data validation and quality assurance to ensure reporting accuracy and business trust in operational metrics.

Working Student Software Engineer (Data and Analytics)

Zalando

May 2025 - Mar 2026

Built analytics-ready datasets from logistics and fulfillment data, enabling performance reporting and operational decision-making across supply chain teams. Designed structured data models and reporting layers to improve data accessibility, consistency, and analytics readiness. Developed enterprise data models and star schemas supporting executive dashboards and KPI reporting for logistics operations. Implemented Unity Catalog governance controls, ensuring secure access management and data compliance. Automated production workflows and monitoring processes to improve pipeline reliability and operational efficiency. Partnered with business stakeholders, analysts, and engineering teams to define reporting requirements and deliver actionable insights in an Agile environment.