Bharath Chandran Email & Phone Number

Bengaluru, Karnataka, India

• Conducted an in-depth analysis of surplus inventory patterns, customer engagement levels, and fill rates over a two-year span, assisting the graphics printing division in reclaiming 8% of excess inventory and achieving a 15% rise in active customers throughout the APJ, EMEA, and AMS markets.• Successfully developed 5 unique Power BI dashboards, incorporating a range of key performance indicators and leveraging business insights to enhance the credibility of HP.• Led and facilitated the end-to-end "GoldenEye Project" as a SuperUser, actively engaging in time series analysis to predict Demand Forecast, Inventory Stocks Optimization, and Order Planning. The project resulted in a remarkable 12% increase in overall forecasting accuracy for demand units, efficient optimization of Inventory stock on hand units, and a substantial reduction in excess and obsolete parts, significantly enhancing HP's supply chain network.• Played a key role in designing a DevOps ecosystem to facilitate automated deployments via CICD pipelines, integrating version control with platforms like GitHub.• Streamlined AWS workflows using Python scripting, deployed ML models on AWS EC2, and harnessed Sagemaker for model training.

Bengaluru, Karnataka, India

• Extracted historical test report data from PDFs, transformed them into pandas data frames with tabula-py, and archived them as CSV files.• Addressed missing data through statistical methods and interpolation, applying industry knowledge.• Applied a suite of classification algorithms, including Decision Trees, Random Forest, KNN, Naive Bayes, and SVM, to tackle varied classification problems.• Utilized Confusion Matrix to prioritize minimizing ‘Type I error’ and assessed performance using Recall, Precision, F-score, and ROC Curve metrics.• Realized a 3-hour daily reduction in test engineer labor and a significant 28% cost saving in R&D expenses.

Bengaluru, Karnataka, India

• Specialized in Data Reporting and Visualization with Power BI, deriving key insights from data lakes via SQL.• Developed and sustained efficient Data Pipelines and ETL processes using SQL and SSMS for seamless data operations.

Bengaluru, Karnataka, India

• Led the creation and evaluation of various tests utilizing Catia V5 and compiled detailed test reports by verifying collected data and findings.