Sathya Kumar

Increased Throughput of Promotion activities by 20% through Customer Segmentation (k-means Clustering) for the Client (General Electric). Optimisation of Discounts using KNN & Random Forest models for the additional net savings of 12% without compromising sales. Identified the features importance for Healthiness of the Opportunity Sales using Logistic regression model and thereby improved Healthiness by 40%. Dynamic Reporting created using Salesforce Tableau for the Opportunity Sales. Reduced execution time by carrying out Machine learning models using MLOps in Azure AutoML.

Reduced 12 Crore INR Inventory value per month by reducing Stock days from 60 days to 45 days using Artificial Neural Network. Fosroc Product Mix sales increased by 20% by using k-means clustering model analysis. Reduced 40 % (8 Lakhs INR / year) on transportation/Clearance cost of imported goods by k-means Clustering. Slashed 80% manual interventions and saved 30 man-hours per month (2 Lakhs INR / Year) using Python. Sold 8 Crore worth Raw materials & Traded Goods items (Slow Moving items) to other Group companies after Time-series modelling and pricing analysis. Saved 0.5 Crore INR on Strategic procurement of Sodium Gluconate RM based on Predictive Modelling using Market Intelligence forecasted Feedstock prices.

Reduced Cost around 30 Lakhs INR/year advanced & delayed purchases of Feedstock using Time series pricing forecast of Feed Stocks. Reduced Supplier Quality issues by 30% on products supply by using Random Forest model analysis. Calculated ETA of shipments using combined feedback of Supplier, Shipper and CHA agents using NLP model for dynamic Production Scheduling. Reduced lead time from 25 days to 15 days in Export of Bus FES/Seat/Door parts from India to UAE through Linear Regression model. Developed Dashboard for Top management for Sales, Purchase, Finance and Inventory control domains using PowerBI.

Led Commissioning of 100T Horizontal Bending machine & 8T semi-gantry crane to avoid material movement from shop to shop, thereby reducing 30 % NVA time. Active team member in Fabrication of Semi-Automated welding (FCAW) fixture for 60 KMs T-bar fabrication which profited the company around 2 Crore INR against outsourcing the same. In house Fabricated 6m & 4 m Plate Handling Idler conveyor, thereby saving 30% cost(0.5 million rupees), versus outsourcing the same. Introduced Remnant Materials management system in ERP with Matrix labelling for storage and retrieval of remnants plates which reduced NVA time by 45%.

First Class with no backlogs