Raj Nethikar

Data Analyst

Hyderabad, India 2+ yrs exp 84 · Excellent

About

Results-driven Data Analyst with 1+ year of experience at TCS and a research internship at IIT Roorkee. Proven track record of automating reporting workflows, building KPI dashboards, and translating complex business requirements into actionable insights using SQL, Python, Tableau, and Power BI.

Skills & Expertise (17)

CTEs Intermediate

6.5/10

Years Exp

Business Reporting Intermediate

6.5/10

Years Exp

EDA Intermediate

6.5/10

Years Exp

validation Intermediate

6.5/10

Years Exp

Data Cleaning Intermediate

6.5/10

Years Exp

Query Optimization Intermediate

6.5/10

Years Exp

Aggregations Intermediate

6.5/10

Years Exp

Subqueries Intermediate

6.5/10

Years Exp

Window Functions Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Joins Intermediate

6.5/10

Years Exp

Microsoft Excel Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

Tableau Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

Work Experience

Data Analyst

Tata Consultancy Services (TCS)

Jan 2025 - Present

Automated reporting workflows using Python (Pandas, NumPy), eliminating 10+ hours of manual effort per week — a 40% reduction in reporting time. Built and maintained Tableau and Power BI dashboards tracking monthly KPIs and operational metrics for cross-functional stakeholders. Authored optimized SQL queries (JOINs, CTEs, window functions) to extract, transform, and consolidate data from multiple relational sources. Engineered data pipelines with robust validation and quality checks, ensuring high data integrity across business reports.

Developer Intern

Indian Institute of Technology (IIT) Roorkee

May 2023 - Oct 2023

Developed a biological database website and full-stack platform supporting sequences, protein structures, PDI data, variant analysis, and protein dynamics. Built database schemas for complex, multi-domain biological datasets ensuring data integrity and efficient query retrieval.