
Loka Pujitha Mandalapu
@lokapujithamandalapu
I turn retail, agricultural, and transaction data into actionable business insights.
What I'm looking for
I've built end-to-end analytics projects that turn raw retail, agricultural, and transaction data into practical business insights using Python, SQL, and Excel.
In a retail sales EDA of 9,994 transactions, I identified Technology as the highest-margin category, uncovered loss-making products, and found a Q4 sales peak 35% above the monthly average. I also flagged over-discounting in the Central region as a potential margin risk.
I've analyzed 2,000+ agricultural price records, created Excel pivot-table reporting and recommendations, and designed a five-table transaction database with validation logic for 500+ simulated transactions. Through Deloitte's Forage simulation, I also cleaned and validated 1,000+ records and delivered analytical recommendations under a simulated business deadline.
Experience
Work history, roles, and key accomplishments
Cleaned and validated a structured dataset of 1,000+ records using Excel and Python (Pandas), applying data consistency checks to support reliable reporting. Delivered 2 written analytical recommendations based on findings, under a simulated business deadline.
Education
Degrees, certifications, and relevant coursework
Malineni Lakshmaiah Women's Engineering College
B.Tech, Computer Science and Data Science
2022 -
Grade: 8.6/10
Pursuing B.Tech in Computer Science and Data Science with a CGPA of 8.6/10, including coursework in Data Visualization, Machine Learning, and SQL.
Idea Lab
Python Programming, Python Programming
Completed a certification in Python Programming.
Make Skilled
Python for Data Science, Python for Data Science
Completed a certification in Python for Data Science.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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