Amaan Tamboli

Gulam Ali Nagar,Hadapsar,Pune

Summary

Professional data analyst with experience in data collection, analysis, and visualization. Skilled in SQL, Python, and Excel, with strong focus on deriving actionable insights and optimizing processes. Known for effective collaboration within teams and adapting to changing project needs. Reliable and results-driven with passion for leveraging data to drive decision-making and business growth.

Overview

Certification

Work History

Junior Data Analyst

Coding Cloud

09.2024 - 02.2025

Streamlined reporting processes by automating routine tasks using Python and Excel macros.
Bridged communication gaps between technical and non-technical stakeholders by presenting analytical findings in clear, concise language accessible to all audiences.
Enhanced data accuracy by meticulously cleaning and organizing datasets for analysis.
Increased efficiency in data extraction by utilizing SQL queries for retrieving relevant information from databases.
Analyzed data to identify root causes of problems and recommend corrective actions.
Created dashboards to monitor and track key performance indicators.

Education

BBA -

Pune University

01-2023

H.S.C -

Maharashtra Board

01-2020

Skills

Analytical and critical thinking
Multiple Priorities Management
Power BI Proficiency
SQL Proficiency
Proficient in Python

Documentation And Reporting
Good Communication Skills
MS Office Suite
Strategic Planning
Root Cause Analysis

Projects

Flipkart Mobile Sales Analysis

Power BI, SQL and Excel.

• Spearheaded a comprehensive Flipkart Mobile Sales Analysis, Netflix, Car Resale project utilizing Power BI, effectively highlighting key insights into customer attrition trends.

• Through innovative data visualizations , I showcased the Analysis based on sales , performance metrics ,

Netflix

• Successfully conducted a comprehensive analysis of Netflix movies using Python.

• Through data visualization techniques, I presented compelling visualizations that highlighted trends in viewer preferences

• This project involved exploring and extracting meaningful insights from the dataset, including identifying the most-watched movies, determining the highest and lowest-rated films, and gaining insights into popular genres