Sugumaran BALASUBRAMANIYAN

• Developed an OCR pipeline using deep learning in Python (Tesseract, PyTorch), reducing manual data entry by 40%.
• Designed a supply chain optimization web app prototype for a pharmaceutical startup, cutting stockouts by 25%.

1. Analyzed social media data utilizing machine learning techniques including logistic regression, decision trees, and clustering, alongside advanced visualization tools like Tableau and Power BI to discern trends and insights.
2. Led initiatives in generative AI, leveraging state-of-the-art techniques including recurrent neural networks (RNNs) and generative adversarial networks (GANs) to create text and image content.
3. Contributed to marketing strategy by providing data-driven insights, resulting in a 50% increase in potential customers.
4. Collected and integrated data from diverse sources, including social media platforms, ensuring data quality.
5. Explored and preprocessed data, conduct exploratory data analysis (EDA), and handled missing values and outliers.
6. Developed and implemented ML and AI models to address specific business challenges.
7. Engineered relevant features and leveraged domain knowledge to enhance model performance.
8. Created data visualizations, dashboards, and reports for effective communication of insights.
9. Planed and executed A/B tests to assess the impact of changes and interventions.

•Performing Descriptive analytics on provided large supply chain related datasets to look for what happened and apply Diagnostic analytics to find why did it happen and foresee using Predictive analytics and provide solutions using Prescriptive analytics.
•Automating data validation and KPI scorecard creation using Python and Macros.
•Developing data collection systems for getting quality data from various sources and maintain a database of large datasets.
•Analyzing, visualizing and interpreting trends or patterns from complex supply chain datasets into understandable document or actionable insights using statistical techniques to help decision making and process improvement.
•Master Data Management like T-Lane, Calendar creation and maintenance in SAP system.
•Creating incidents in ServiceNow and resolving incidents raised by the clients within TAT.
•Validating data from various sources for any discrepancies and rectifying it for continued business processes.
•Preparation of SOP, Test Scripts for UAT and assisting the client in completing the same.
•Testing new software (Cloud based) to check for Quality Assurance and ensure market requirements of new software are satisfied before release.
•Understanding client supply chain situation/issues/problem to identify analytics solutions and recommending new process improvements to boost performance and reduce costs.
•Creating and maintaining macros in MS-Excel VBA for automating repetitive tasks to improve process efficiency and reduce time consumption.
•Coordinating with clients to implement changes and new systems.
•Plan and implement supply chain optimization projects (e.g. Warehouse-slotting, route planning, demand forecasting, Inventory optimization).
•Performing Extract, Transform and Load (ETL) process on datasets provided by clients and automating them to reduce TAT and error.
•Discover the most cost-effective shipping modes and schedules.
•Track KPIs and report on supply chain’s performance.

•US Mortgage Risk Analysis.
•Analysing and transforming data to understand hidden patterns and trends.
•Design and develop business scorecard, reporting and operational information for business reviews.
•Designing and managing business intelligence and analytical processes.
•Designing analytical solutions for various business problems.
•Verify the mortgage documents based on preset rules and conditions.
•Analyse and report daily on the given datasets.
•Deliver exceptional service to clients with quality on time.
•Assess loan worthiness and review financial statements.
•Configure financial data and documents in the system.
•Maintain database by entering, verifying and backing up data and documents in the system.
•Perform verifications as per the process to determine authenticity of data.
•Generate final agreements for execution.
•Contribute to team effort by accomplishing related results as needed.

A full time Post Graduate Program in Data Science and Engineering covering all aspects of Machine Learning algorithms in Python, Data Mining and Data Visualisation techniques in R and Tableau along with Data Warehousing methods using MySQL.