Anand Chandanshiv

Summary

Aspiring Data Analyst with expertise in Excel, SQL, Power BI, and Python. Skilled in creating dashboards, diagnosing issues, and delivering actionable recommendations. Experienced in analyzing trends to drive impactful decisions and continuously enhancing data analysis skills. Focused on accuracy and efficiency.

Overview

years of professional experience

Certification

Work History

Software Support Engineer

GES

01.2022 - 01.2024

Provided L1/L2 support for cloud-based platforms, assisting 1000+ users globally with technical issues.
Diagnosed and resolved issues using logs and metrics, escalating complex incidents to engineering teams.
Implemented process improvements that reduced ticket resolution time by 20%.
Automated manual tasks to minimize errors and improve turnaround time.

Education

Bachelor of Engineering - Computer Science

Pravara Rural Engineering Collage

01.2022

Intermediate - Class XII

Deogiri Collage

01.2017

Matriculation - Class X

Podar International School

01.2015

Skills

COMPUTER LANGUAGES
SQL
Python
C
C
CSS
HTML

Java
Excel
SOFT SKILLS
Communication Skills
Responsibility
Critical Thinking
Decision-making

Certification

08/2024
Professional Certificate Course In Data Science
Newton School
Focused on Excel, SQL, Power BI, and Python. Developing skills in data analysis, visualization, and database management.

Projects

SQL,

IPL RCB Performance Analysis, Conducted a thorough analysis of RCB’s player pool for the 2017 IPL mega auction to optimize player selection and investment strategies., Evaluated players’ on-field performance, including runs scored, strike rates, economy rates, and consistency to identify top performers and potential team leaders., Provided strategic recommendations based on data-driven insights for selecting a balanced and competitive team that would maximize performance while staying within budget.

Advance Excel,

Zomato Restaurant Analysis, Conducted a comprehensive analysis of Zomato restaurant data using Excel, identifying key trends and patterns in customer ratings, cuisine preferences, and geographical distribution., Utilized advanced Excel functions and pivot tables to evaluate restaurant performance, highlighting top-performing eateries and areas with potential for growth based on customer reviews and sales data., Leveraged data visualization tools in Excel to create interactive dashboards, enabling stakeholders to easily track and compare restaurant metrics, customer satisfaction levels, and market trends in real-time.

Websites

Timeline