Latesh Anjarlekar — Consultant

Operations and Supply Chain Data Analyst with hands-on experience in operational data analysis, MIS reporting, process improvement, and KPI tracking across multi-location business environments. I began my career conducting 50+ operational assessments across 30+ locations pan-India, evaluating branch-level workflows, identifying process gaps, and preparing structured operational performance reports for management review. This experience gave me deep practical exposure to how operational systems function across large, distributed business networks - and strengthened my focus on using data to improve operational efficiency and decision-making. My technical toolkit includes Microsoft Excel, SQL, Power BI, and Python. I use these tools for dashboard creation, data validation, variance analysis, trend analysis, and operational reporting. I am comfortable working with large operational datasets, extracting meaningful insights, and presenting findings to cross-functional teams and management stakeholders. I recently completed a supply chain analytics project where I used Python (Pandas), SQL, and Power BI to analyze demand patterns, inventory levels, supplier performance, and logistics operations across a multi-dimensional supply chain dataset. I built an interactive Power BI dashboard to monitor key supply chain KPIs, including inventory turnover, supplier lead time, and logistics cost drivers - and identified stockout risks, excess inventory, and supplier performance gaps. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 – Google Data Analytics -Google Supply Chain Data Analyst - Unilever CSCMP Supply Chain Foundations - LinkedIn Learning Business Analyst - Microsoft Forward Program - McKinsey & Company ML for Supply Chains - Coursera (In Progress) 𝗙𝗼𝗰𝘂𝘀 𝗔𝗿𝗲𝗮𝘀 Supply Chain Analytics · Operations Analytics · MIS Reporting · KPI Tracking · Inventory Management · Demand Forecasting · Dashboard CreationCurrently targeting entry-level roles in Supply Chain

Stackforce AI infers this person is a Supply Chain and Operations Analyst with strong data analysis capabilities.

Location: Mumbai, Maharashtra, India

Experience: 8 mos