Designed and implemented a real-time data pipeline, improving production data accuracy and reducing downtime by 30%.

Developed and implemented EDI (Electronic Data Interchange) solutions to automate the transactional documents, enabling real-time, secure electronic delivery to receivers and significantly reducing manual processing time by 70%.

Spearheaded a $110K Ethanol autonomous loadout project reduced to $50K, through in-house technical solutions including auto BoL generation and secure server integration, reducing manual effort by 95%.

Developed a Purchase Requisition system using Google Apps Script, enabling multi-level spending tracking that improved financial decision-making and streamlined supply chain management processes.

Led $80K Workbench project, implementing live dashboards for critical decision-making by integrating Siemens PCS 7 historian and HPLC data, resulting in improved plant engineer insights and increased production capacity.

Managed Google Workspace and Microsoft Admin portals, streamlining company policies and employee onboarding processes.

Created 5+ dashboards for real-time monitoring, improving data accessibility and decision-making speed.

Implemented truck weighing software, reducing manual steps by 20% and minimizing human error, while automating ticket information flow through custom email scripts, resulting in significant productivity gains.

Established a comprehensive IT ecosystem with Palo Alto Networks, enabling remote access to critical devices and implementing Google ecosystem and AI tools to boost company-wide productivity.

Leveraged SAS to analyze extensive electronic health records, employing advanced statistical methods that led to a 15% improvement in patient outcome predictions.

Engineered interactive PowerBI dashboards visualizing critical healthcare KPIs, resulting in 20% reduction in patient wait times and optimized resource allocation.

Developed a cutting-edge video surveillance system for US Army base, integrating real-time object classification and tracking, reducing human monitoring needs by 80% with alert notifications.

Led automated data annotation pipeline operations, executing data preparation and cleaning for imagery datasets.

Trained high-performance computer vision model on NVIDIA Jetson, achieving 0.84 mean Average Precision score.

Managed model deployment in production, optimizing GPU computing efficiency by 15% through CUDA and implementing deep learning techniques for low power usage.

Engineered Python API with JSON interface, enabling seamless real-time transmission of system responses to Oracle database.

Founded and scaled a successful e-commerce business across Amazon, Flipkart (Walmart), and Meesho, achieving annual revenue of 2.5 Crore ₹ (INR). Led all operations, including finance, and managed a team of 8 employees.

Implemented data-driven strategies using Tableau efficiency charts, resulting in significant sales growth and improved time management.

Developed SEO-optimized brand content and product images, increasing organic traffic. Automated daily operations using Python scripts, enhancing overall efficiency.

Established a second brand, Luxurin, achieving rapid growth and positive market reception.

Leveraged sales data analysis to optimize product pricing based on customer behavior, resulting in increased conversion rates and revenue.

Engineered a Python-based tax automation system, saving 30 hours monthly and extracting key business insights from diverse data formats.

Utilized data analytics to enhance operational strategies, streamlining processes and driving business growth across multiple platforms.

Implemented DevOps methodologies, automating data retrieval from Hadoop and AWS Athena in Docker environment, integrating data validation with Jenkins for efficient CI/CD pipelines.

Collaborated on financial data research, developing a comprehensive data visualization dashboard for reporting.

Led management of large-scale datasets on AWS cloud platform, handling financial data lake and performing advanced analytics using APIs and Airflow ETL tool.

Developed script validation tool for non-technical team, independently saving over 100 hours of weekly manual effort.

Trained NLP model to interpret requirements and prioritize projects from compliance documents, enhancing decision-making processes.

Expertly preprocessed textual data for NLP applications, improving model accuracy and efficiency.

Designed and implemented RPA-based web and database automation testing in an agile environment, accelerating QA processes.

Skills utilized: Python, SQL, Automation, pyodbc, Java, NLTK, Jenkins, ALM, Docker, Tkinter, Flask, GCP, Data Analysis, Product development, Jira, bitbucket.