Sailesh kumar

Business & Data Analyst

Bengaluru, India

Profile Score

About

Business & Data Analyst with hands-on experience in analyzing and transforming raw data into actionable insights to support business decisions. Proficient in Python, SQL, Power BI, and workflow automation, with experience working on sales, customer, and operational datasets. Skilled in building interactive dashboards, tracking KPIs, and integrating data from multiple sources including APIs. Strong understanding of business metrics, CRM concepts, and data-driven strategies to solve real-world business challenges and improve performance.

Skills & Expertise (38)

Data Analysis Advanced

8.5/10

Years Exp

Power BI Advanced

8.3/10

Years Exp

SQL Advanced

8.1/10

Years Exp

Data Visualization Advanced

8.0/10

Years Exp

Python Advanced

7.8/10

Years Exp

Statistical Analysis Data Cleaning Hypothesis Testing A/B testing APIs Workflow Automation n8n Data Pipelines Data Integration Jupyter Notebook Git GitHub Pivot Tables VLOOKUP HLOOKUP Oracle SQL SQL*Plus Data Modeling Data Transformation CSS HTML PySpark Databricks Excel Postgresql NumPy Pandas Process Improvement Revenue Analysis Business Analysis Reporting Dashboard Development KPI Tracking

Work Experience

Data Analyst

Airbnb

Present - Present

Built an end-to-end automated data pipeline to process and clean large-scale Airbnb listings data, handling missing values, outliers, and feature engineering for analysis-ready datasets. Developed an interactive Power BI dashboard to analyze pricing trends, host performance, and customer review patterns, enabling data-driven insights. Delivered actionable insights across multiple key metrics (pricing trends, review scores, host activity, property features) to support business understanding of revenue drivers.

Data Engineer

Automated Email-to-PostgreSQL Data Pipeline

Present - Present

Designed and automated a data pipeline to ingest 4 daily sales datasets from Gmail into PostgreSQL, eliminating manual data entry. Built a relational data model with 2 fact tables and 3 dimension tables to support structured reporting and analysis. Enabled automated reporting and analysis by integrating data with external tools, improving efficiency in tracking sales and operational data.

Data Analyst

Superstore

Present - Present

Analyzed sales data across regions, categories, and customer segments to identify trends impacting revenue and business performance. Built KPI-driven dashboards using Power BI and DAX to track sales performance, customer segments, and operational metrics (shipping performance, regional trends). Generated actionable insights to support data-driven decision-making and improve sales performance and strategy.