Smita Sahoo

Designed and implemented AI solutions for contract comparison, supplier risk analysis, and PO categorization, leveraging advanced NLP and machine learning techniques. Developed real-time email assistants and finance RAG assistants, integrating various AI models and cloud platforms to enhance business operations.

Developed and deployed machine learning models on Azure ML for ASIC yield optimization, mastering data ingestion, preprocessing, and feature engineering. Implemented defect trend analysis systems for MEMS components, utilizing EDA, Oracle Analytics, and various machine learning algorithms to improve manufacturing efficiency.

Built a cloud-based statistical forecasting engine for fresh and frozen dairy products, significantly boosting demand accuracy. Utilized LightGBM, SVR, Decision Trees, and ARIMA-based models, integrating data pipelines with Airflow, Databricks, Snowflake, and PowerBI for effective inventory management.

Developed a lead scoring framework for sales representatives, enriching prospect data and leveraging location intelligence to predict conversion likelihood. Built a scalable inventory management framework to optimize stock levels for SKU items, balancing holding costs and stock-out risks.

Extracted and transformed historical revenue data, applying advanced statistical and machine learning algorithms to predict future revenue trends. Developed and integrated forecasting models into Oracle GFIC workflows, automating data analysis and predictions, and implementing automated reports and dashboards for data-driven decision making.

Analyzed numerical data, including sales and invoice data, and converted business logic into problem statements. Performed EDA using Python and built reports in Oracle Analytics Server, providing business insights. Developed forecasting models using various algorithms and optimized hyperparameters for improved model performance.

Completed a Master's in Industrial Engineering, focusing on advanced concepts and applications within the field. The program provided a comprehensive understanding of industrial processes and systems.

Grade: Gold Medallist / University Topper

Achieved a Bachelor of Technology in Production Engineering, graduating as a Gold Medalist and University Topper. This program provided a strong foundation in engineering principles and production methodologies.