Tholeti Vamsidhar Reddy

Operations Associate

Bengaluru, Karnataka, India10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Achieved 32% improvement in logistics monitoring accuracy.
  • Developed automated reporting systems reducing processing time by 87%.
  • Created interactive dashboards enhancing operational visibility.
Stackforce AI infers this person is a Data Analyst specializing in Logistics and HR Tech with strong automation and visualization skills.

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Skills

Core Skills

Logistics AnalyticsData VisualizationData AutomationData AnalyticsEtl

Other Skills

Microsoft Power BIPython (Programming Language)Data AnalysisReporting AutomationPythonETL PipelinePower BISQLStreamlitDatastreamKPI DashboardsDAXAdvanced ExcelData WranglingRoot Cause Analysis

About

Result-driven MBA graduate in Business Analytics with experience in MIS operations, logistics analytics, business intelligence, and data visualization. Skilled in SQL, Python, Power BI, Tableau, Google BigQuery, Streamlit, and Advanced Excel with practical exposure to ETL pipelines, KPI dashboarding, and operational reporting. Experience includes monitoring warehouse and cross-dock operations, analyzing logistics metrics, automating reporting workflows, and supporting business decisions through structured data analysis and reporting solutions. Professional exposure includes working with large operational datasets, developing automated Python scripts, and building interactive Power BI dashboards for logistics and warehouse tracking. Hands-on experience in root cause analysis, inbound logistics monitoring, and business reporting within supply chain environments. Strong understanding of data wrangling, exploratory data analysis, cloud-based data operations, and visualization techniques for identifying trends and operational insights across multiple business functions. Academic and project experience includes e-commerce sales analysis, metro ridership analytics, and conversion rate optimization using A/B testing methodologies. Worked on projects involving large-scale datasets, predictive feature engineering, customer behavior analysis, and dashboard development using Python libraries such as Pandas, Matplotlib, and Seaborn. Passionate about transforming complex datasets into meaningful insights that support operational planning and business growth.

Experience

10 mos
Total Experience
10 mos
Average Tenure
10 mos
Current Experience

Flipkart internet pvt ltd

MIS Executive - Large FC Ops

Aug 2025Present · 10 mos · Bengaluru · Hybrid

  • Evaluated FCSC operational datasets by tracking D0, Cross Dock, MH Breaches, and XD IB metrics, contributing to a 32% improvement in logistics monitoring and reporting accuracy
  • Assessed inbound logistics activities through detailed analysis of warehouse movements, breach records, and cross-dock operations, decreasing reporting inconsistencies by 26%
  • Engineered automated Python-based reporting scripts, accelerating daily logistics report circulation timelines by 34%
  • Designed interactive Power BI dashboards for management teams, increasing operational data visibility by 29% through real-time tracking of inbound logistics and warehouse movement patterns
  • Performed daily operational analysis and root cause investigations on Cross Dock and Main Hub breaches within the appliance supply chain, identifying vehicle allocation gaps and spill-over disruptions across logistics operations
Microsoft Power BIPython (Programming Language)Logistics AnalyticsData Visualization

Innodatatics - genai | data science | bi | advanced up-skilling

Data Analyst

May 2024Jul 2024 · 2 mos · Hyderabad · Remote

  • Developed a real-time attendance monitoring dashboard using SQL, Python, and Streamlit for 64 employees, enabling department-wise and shift-wise tracking while lowering manual HR monitoring efforts by 40%
  • Built an automated ETL workflow with Python and SQL for weekly HR analytics and reporting, reducing manual data processing time by 87% and saving more than 12 operational hours per month
  • Implemented Google Cloud solutions, including BigQuery and Cloud Storage, to streamline attendance data processing, centralize database operations, and strengthen cloud-based workflow management
SQLPython (Programming Language)Data AnalyticsETL

Education

University of Hyderabad

Master of Business Administration - MBA — Business Analytics

Sep 2023May 2025

Dr Y S R Horticulture University

Bachelor of Science — Horticultural Science

Aug 2019Mar 2023

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