Meenal Talnikar
@meenaltalnikar
I turn logistics and business data into actionable insights that reduce losses and improve reporting.
What I'm looking for
At Flipkart, I managed end-to-end logistics loss reconciliation for more than 70 ODH partners across 2,300–2,500 operational hubs, ensuring accurate financial reconciliation and data quality.
I use Advanced Excel to analyze operational data, prepare MIS reports, track KPIs, and uncover root causes behind logistics losses. My analysis helped reduce overall losses by 30–35% and lowered loss rates in high-loss cases from an average of 21% to 6%.
I’ve collaborated with cross-functional teams to resolve data discrepancies, improve reporting accuracy, and streamline reconciliation processes. I also developed SOPs and Excel-based automation tools to standardize metrics, reduce manual effort, and improve reporting efficiency.
With an MBA in Business Analytics and hands-on experience in Excel, SQL, and Power BI, I’m focused on using business intelligence and process improvement to create measurable impact.
Experience
Work history, roles, and key accomplishments
Trainee SCCP
Flipkart
Jul 2024 - Jan 2026 (1 year 6 months)
Managed end-to-end logistics loss reconciliation for 70+ ODH partners across 2,300–2,500 operational hubs, ensuring accurate financial reconciliation and data quality. Analyzed large operational datasets using Advanced Excel to prepare MIS reports and support business decisions.
Data Analytics Intern
Aivariant
May 2023 - Jan 2024 (8 months)
Analyzed datasets using Excel, SQL and Power BI; performed data cleaning, validation, SQL querying, Power BI visualization and analytical reporting.
Education
Degrees, certifications, and relevant coursework
AISSMS Institute of Management, Pune
Master of Business Administration, Business Analytics
Grade: CGPA 8.42
Pursued an MBA in Business Analytics with a CGPA of 8.42.
College of Engineering & Technology, Akola
Bachelor of Engineering, Computer Science and Engineering
Grade: CGPA 8.50
Completed a Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.50.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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