Sandhika G

Data Analyst

Bangalore 0+ yrs exp 82 · Excellent

About

Data Analyst and Data Science postgraduate skilled in Power BI dashboard development, SQL, and ETL data pipelines for large-scale datasets. Experienced in extracting insights from high-volume, high-dimensional data, performing root-cause data analysis, and presenting impactful insights to stakeholders across functional teams. Comfortable with data modeling, data validation, and cloud data platforms, and eager to apply BI and data-warehousing skills to drive data-driven business decisions. Self-driven, collaborative, and supports fellow analysts on best practices.

Skills & Expertise (30)

Python Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

ETL Pipelines Intermediate

7.0/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

MySql Intermediate

6.5/10

Years Exp

Feature Engineering Intermediate

6.0/10

Years Exp

EDA Intermediate

6.0/10

Years Exp

NLP Intermediate

6.0/10

Years Exp

Classification Intermediate

6.0/10

Years Exp

Model Evaluation Intermediate

6.0/10

Years Exp

scikit-learn Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

Data Validation Intermediate

6.0/10

Years Exp

Data Modeling Intermediate

6.0/10

Years Exp

Data Warehousing Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

Seaborn Intermediate

6.0/10

Years Exp

Power Query Intermediate

6.0/10

Years Exp

Supabase Intermediate

5.5/10

Years Exp

Postgresql Intermediate

5.5/10

Years Exp

Data Profiling Intermediate

5.5/10

Years Exp

DAX Intermediate

5.5/10

Years Exp

AWS Intermediate

5.0/10

Years Exp

Stakeholder Presentation Cross-Functional Collaboration mentoring Strong written & verbal communication

Work Experience

Data / BI Analyst Intern

LeadWalnut

Jan 2026 - Present

Analyzed large-scale, high-dimensional keyword–URL datasets using SQL and Python (Pandas) to investigate business problems and surface actionable, decision-ready insights. Built and maintained ETL pipelines (web scraping, sitemap parsing, normalization) feeding a structured SQL/Supabase data store, supporting data modeling and consistent data delivery across projects. Performed complex data analysis and root-cause investigation, adding data-validation logic and accuracy checks against source control totals to ensure reliable results. Worked cross-functionally with engineering, product, and frontend stakeholders to integrate analysis into BI dashboards and reporting tools and present insights to all levels. Identified opportunities to automate and increase efficiency of data-analysis processes; mentored junior interns on SQL, Python, and data-handling best practices.

Research Intern (Data Science)

Deakin University, GIFT City Campus

Jan 2025 - Apr 2025

Built and evaluated NLP classification models on large text datasets, interpreting quantitative outputs (precision, recall, confusion matrix) to drive decisions. Applied data cleaning, feature extraction, and rigorous model evaluation in Python (Pandas, NumPy, Scikit-learn); communicated findings clearly to non-technical audiences.