
Sakshi Shelar
@sakshishelar
Data & Business Intelligence Analyst who developed customer segments from 50,000+ records and created Power BI dashboards at SV Code Tech Solution.
What I'm looking for
At SV Code Tech Solution, I developed a customer segmentation strategy using Python, RFM analysis, and K-Means clustering to identify five buyer personas from a database of over 50,000 records. I also built ETL pipelines with Pandas and SQL and created Power BI dashboards for revenue, customer lifetime value, and product profitability.
In my customer intelligence and e-commerce analytics projects, I analyzed customer and transactional data to surface purchasing patterns, business trends, and operational insights. I used Python, SQL, and visualization tools including Tableau to prepare analyses and dashboards, and structured project work with Git/GitHub.
Experience
Work history, roles, and key accomplishments
Data Science Intern
SV Code Tech Solution
Jan 2025 - Jun 2025 (5 months)
Developed customer segmentation strategies using Python, RFM analysis, and K-Means clustering. Executed ETL pipelines and created Power BI dashboards to track key metrics and automate reports.
Education
Degrees, certifications, and relevant coursework
Savitribai Phule Pune University
Bachelor of Engineering, Computer Science & Engineering
2023 -
Grade: 8/10 CGPA
Pursuing a Bachelor of Engineering in Computer Science and Engineering, with relevant coursework in database management, data structures, machine learning, and operating systems.
Kendriya Vidyalaya Varangaon
Class 12th, General
2021 - 2022
Grade: 74.4%
Completed Class 12th under the CBSE board with a score of 74.4%.
Kendriya Vidyalaya Varangaon
Class 10th, General
2020 - 2020
Grade: 76.4%
Completed Class 10th under the CBSE board with a score of 76.4%.
PHN Technologies
Mastering Power BI: Data Analysis and Dashboard Creation, Data Analysis
Completed certification in Mastering Power BI: Data Analysis and Dashboard Creation.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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