PIYUSH TIGAONKAR account profile

Personal details

PIYUSH TIGAONKAR

Work preferences

Desired roles

Data Analyst

(Entry-level)

Data Scientist

(Entry-level)

Additional info

Links & Resume

Passionate about using data to drive impactful decisions, I specialize in SQL, Power BI, and Excel for reporting and analysis. With hands-on experience solving real-world problems, including optimizing databases, I excel at transforming data into actionable insights. My strengths include critical thinking, adaptability, and teamwork, enabling me to thrive in dynamic environments. I am eager to apply my skills in data analysis and visualization to contribute meaningfully in the field of analytics

Experience

Work history

Independent Business Owner at winzera Pvt Ltd

(July 2021 - June 2024)

Developed and led a network of 150+ customers and distributors, driving a 20% increase in sales and customer retention. Conducted 50+ presentations and demonstrations, boosting sales by 15%. Trained and mentored 20+ team members, enhancing team performance by 25%. Analyzed sales data to optimize strategies, contributing to a 15% growth in business. Negotiated deals, maintaining a 90% customer satisfaction rate through consistent follow-ups and personalized solutions.

Education

Credentials

Yeshwantrao Chavan College of Engineering, Nagpur – 441110 (First Cycle)

Bachelor's degree in Engineering, graduated September 2024

August 2016 - September 2024

Courses

Google_logo

Google · Course

Share Data Through the Art of Visualization

Category: Business Communication
Category: Tableau Software
Category: Data Visualization Software
Category: Data Analysis
Category: Data Visualization

Completed January 2025

PwC_logo

PwC · Course

Data Visualization with Advanced Excel

Category: Data Analysis
Category: Data Visualization
Category: Data Model
Category: Data Analysis Software
Category: Microsoft Excel

Completed December 2024

IBM_logo

IBM · Course

Introduction to Data Analytics

Category: Data Analysis
Category: Python Programming
Category: SQL
Category: Databases
Category: Data Science

Completed October 2024