PowerBI
Projects
Python
Project
Me
Results-driven Senior Data Analyst with 5.5 years of experience across reliability, asset management, and sports technology industries. Proven track record in scaling user engagement and retention, having grown app installs from 400 to 60k+ and active users from 370 to 9500+. Skilled in Power BI, SQL, Python, and advanced Excel, with expertise in creating comprehensive dashboards and data-driven solutions. Demonstrated success in optimizing business processes and maintenance schedules through detailed analytical insights and KPI tracking. Strong background in sports analytics and equipment reliability metrics.
Skills
SQL
Python
Advanced Excel
Projects
Domain/Function: Manufacturing Industry
Designed a multi-view dashboard in Power BI for 6 departments (sales, finance, supply chain, executive, marketing, and products) of AtliQ hardware to understand sales trends, and facilitate data-driven decisions that scaled the business processes by 10%.
Domain/Function: Sports Analytics
Pre-match analysis report of match -23, CSK vs SRH of IPL 2021 at Arun Jaitley Stadium. It is a night game, CSK has started the tournament well and poses a big challenge to SRH.
Domain/Function: E-commerce
Unpacking Zomato's Dominance: Analyzing sales, user behavior, and market trends across Indian cities. Examined millions of orders to reveal key growth drivers, identify emerging markets, and understand consumer preferences.
Experience
Data
Analyst, GoPllay, Pune Jan
2023 - Present
●
Helped in scaling the app installs across various OS (iOS and
Android) from 400 to 60k+ by analyzing the user demographics,
user behavior, etc.
●
Increased the active user count from 370 to 9500+, indicates the
user retention rate. This result was achieved using extensive analysis of the
Google Analytics data.
●
The active user to total app installs ratio increased to 38%. This indicates
that the app has sufficient features to keep the user engaged.
Associate
Data Analyst, Sportz Interactive, Mumbai Oct
2022 – Jan 2023
● Created pre-match and post-match analysis reports for Sports18,
India’s official FIFA World Cup 2022 broadcaster.
●
Analyzed data of 32 teams across 8 groups of around 350+
players.
Data
Analyst, Asset Analytix, Pune Jan
2022 – Oct 2022
● Helped to optimize
the maintenance schedule of various machinery in the Honda, 3M, and Ellie
Lily plants.
● Used metrics like Mean
Time to Failure (MTTF), Mean Time to Recovery (MTTR), and Mean
Time between Failure (MTBF) by collecting the data from the MS SQL
server.
Junior
Data Analyst, Ananta Infotech, Pune Jul
2019 – Jan 2022
● Helped to create data analytics course content based on Excel, SQL, and Power BI for the company.