Rohit Das Email & Phone Number

Texas, United States

United States

• Developed and deployed predictive models using Python and Scikit-learn that identified at-risk customers, leading to a 15% increase in retention through targeted marketing strategies.• Built and optimized ETL pipelines using Apache Airflow and AWS (S3, Redshift), which reduced data processing time by 30% and improved data freshness for analytical reports.• Analyzed large datasets with SQL and PostgreSQL, providing insights that resulted in a 10% increase in operational efficiency by identifying bottlenecks in supply chain processes.• Managed big data infrastructure using Hadoop and Apache Spark, enabling real-time analytics on high-volume datasets, which supported timely decisionmaking for marketing campaigns.• Created interactive dashboards using Tableau and Power BI, allowing stakeholders to visualize key metrics and trends, ultimately improving strategic planning sessions.• Implemented machine learning models for time series forecasting with TensorFlow, achieving a 20% improvement in sales forecasting accuracy, which enhanced inventory management strategies.• Collaborated with cross-functional teams to automate data flows, streamlining data access and reporting processes, which reduced manual effort by 40%.

Long Beach, California, United States

• Developed a machine learning pipeline using torch to evaluate the success rates of video advertisement; enhanced the predictability of ad performance and optimizing marketing strategies by 70%.• Conducted Market Basket Analysis using a dataset of 36 million transactions from InstaCart to improve user experience by identifying purchasing patterns and product affinities.• Researched and developed methodologies to benchmark saliency in videos and images with over 95% accuracy; successfully applied these techniques to evaluate and compare the performance of ViNET and UNISAL models in predicting viewer focus areas.• Employed Time-Series Analysis, TimeGAN, to analyze Retail Scanner data; uncovered consumption trends across the United States; provided actionable insights to improve strategic retail planning by 65%.• Applied advanced Natural Language Processing (NLP) techniques to streamline the analysis of Environmental, Social, and Governance (ESG) criteria, enhancing the assessment of corporate sustainability and ethical impacts and supporting decision‑making processes.

Long Beach, California, United States

• Developed a dynamic WebUI using Node.js to facilitate the operation of image generation models, including Stable Diffusion, enhancing user interaction and model accessibility.• Integrated MariaDB as the backend database solution, ensuring efficient data handling and storage for user‑generated content and operational metadata.• Led the fine‑tuning of AI models such as Stable Diffusion and Stable Cascade, significantly improving the quality of generated images to meet specific academic and promotional needs.• Led a university‑initiated project to produce high‑quality poster image

India

• Conducted in-depth data analysis using Python (Pandas, NumPy) and SQL, identifying critical business metrics that supported a 12% increase in revenue through data-driven decision-making.• Designed data pipelines using Apache NiFi and Talend, facilitating seamless data integration across various platforms and ensuring data accuracy and consistency.• Developed and maintained data warehouse solutions in Google Cloud (BigQuery), enhancing data accessibility and reducing query performance time by 25%, resulting in faster report generation.• Performed data cleaning and feature engineering to ensure high-quality datasets for machine learning models, improving model performance by 15%.• Created visualizations using Tableau and Matplotlib, simplifying complex data into actionable insights for non-technical stakeholders, improving team communication and project alignment.• Assisted in implementing A/B testing and hypothesis testing with statistical techniques, leading to a 12% increase in customer engagement through targeted strategies based on data insights.• Collaborated with engineering teams to design scalable database architectures, optimizing query performance on NoSQL systems and improving application response times by 30%

Master Of Science - Ms, Computer Science, 3.7 / 4

Bachelor Of Engineering - Be, Information Technology, 8.89 / 10