Ravindranath Reddy Karnati Venkata Email & Phone Number

Cary, Nc, Us

Cary, North Carolina, United States

Implemented an OPENAI-powered web scraping system across 1000+ charitable organizations, collecting diverse datasets to train and fine-tune AI-driven donor matching algorithms.Optimized data preprocessing workflows using pandas and NumPy, integrating generative models for data augmentation, resulting in a 25% reduction in processing time for volunteer management systems.Utilized GANs to synthesize realistic donation scenarios, expand training datasets, and improve fundraising effectiveness by 18%.Designed and deployed a BERT-based QA system for donor support to respond to common inquiries.Fine-tuned a GPT-3.5 Turbo model on donor testimonials and impact stories to generate compelling fundraising narratives.Architected a hybrid recommender system combining collaborative filtering with fine-tuned generative models, delivering personalized giving suggestions that increased recurring donations by 25%.

College Station, Texas, United States

• Innovated an Enhanced Perimeter Intrusion Detection System, reducing false alarms by 26% through integrating multiple sensor systems for improved target detection and nuisance rejection, funded by the Department of Defense.• Delivered a presentation on PIDS research at IEEE SysCon 2024, the premier conference for systems engineering and system sciences.• Proficient in developing ML models with TensorFlow and Scikit-learn, with a solid grasp of data preprocessing and model evaluation.• Evaluated feature selection and feature engineering to improve model performance and reduce computational complexity by 18%.• Applied ensemble learning techniques to enhance model robustness and accuracy, achieving a 5% improvement in detection rates.• Streamed real-time data and processing using Apache Kafka, enabling timely and accurate threat detection.• Devised custom visualization tools in GUI to monitor system performance and visualize detected threats, facilitating quick response.• Collaborated with cybersecurity experts to gather requirements and validate the system's effectiveness in real-world scenarios.• Handled rigorous testing and validation to ensure the system's reliability and robustness with 98% success under various conditions.• Published a research paper detailing the system's design, implementation, and results, contributing to the academic community.

Novi, Michigan, United States

• Built a conversational system that answered 10,000+ user queries, generating 200+ dashboards, and improving productivity by 36%.• Applied advanced NLP techniques -NER, and sentiment analysis, resulting in a 23% improvement in response accuracy for 20K queries.• Leveraged BERT, ColBERT, and OpenAI API to deliver precise responses for 95% of user queries, ensuring high user satisfaction.• Integrated LangChain and Retrieval-Augmented Generation (RAG) frameworks, optimizing real-time query resolution by enhancing the knowledge retrieval process.• Implemented data preprocessing and feature engineering techniques to improve model performance by 20%.• Facilitated sentiment analysis on customer feedback to identify areas for service improvement, increasing user satisfaction by 15%.• Ensured data quality and integrity by utilizing Python libraries, -Pandas and NumPy, for effective data manipulation and analysis.• Applied machine learning algorithms- Zero-Short Classification for text classification, with a 90% accuracy in categorizing user queries.• Designed interactive visualizations using Tableau to present insights to stakeholders, facilitating data-driven decision-making.• Automated data extraction and transformation process using ETL pipelines, reducing manual effort and data processing time.

Pune, Maharashtra, India

• Led a cross-functional team to develop a predictive maintenance model for spark plugs and validated the model with a 93% F1 score.• Applied decision trees, topic modeling, and sentiment analysis to large datasets, identifying root causes of automotive system failures and proposing priority improvements, achieving a 30% reduction in failure rate.• Deployed models in an AWS environment for continuous monitoring and real-time predictions, collaborating with stakeholders to develop actionable insights, enhancing reliability, and saving $8 million annually.• Performed A/B testing on dealership models, leading to a 28% increase in customer retention by identifying optimal pricing strategies.• Optimized data management workflows developing ETL pipelines, leveraging SAS and Python scripts, automating data inflow from disparate sources, eliminating Excel dependencies, and reducing 90 hours of monthly workload.• Leveraged machine learning algorithms in integration -random forests and gradient boosting to improve predictive accuracy by 18%.• Analyzed customer behavior data using K-Means clustering to identify trends and patterns and increase sales by 22%.• Developed and maintained data models to support business intelligence initiatives, providing actionable insights for decision-makers.• Partnered with other teams to integrate ML models in production systems, ensuring seamless operation and scalability.

India

• Crafted a high-performing multi-core optimizer, using advanced scheduling algorithms achieving a 20% reduction in task violations, halts, and increased interrupt robustness.• Designed a robust simulator employing gradient descent, simulating system behavior in hundreds of diverse conditions.• Formulated a data-driven technician recommendation system using modified BM-25 and MMR algorithms, improving technician productivity by 37% through optimized selection based on comprehensive data analysis.• Developed and maintained ETL pipelines to automate data processing workflows, improving efficiency by 25%.• Implemented data warehousing solutions using Hadoop and Hive, enabling efficient storage and retrieval of large datasets reducing query processing time by 28%.• Harnessed SQL and NoSQL databases to manage and query data, ensuring high performance and scalability improving data retrieval speed by 20%.• Strategized data integration solutions to consolidate data from multiple sources, ensuring data consistency and accuracy reducing data discrepancies by 15%.• Directed data validation and cleansing to maintain data quality and integrity, reducing errors through automated scripts by 18%.• Refined and deployed predictive models using supervised learning techniques like Logistic Regression, Random Forest, and XGBoost for customer churn prediction, achieving an AUC score of 0.87 and improving retention rate by 15%.• Executed unsupervised learning algorithms like K-Means Clustering and Hierarchical Clustering to segment customers based on purchasing behavior, enabling targeted marketing campaigns and increasing revenue by 20%.• Utilized Snowflake, AWS Glue, and Lambda for data migration, transformation, and automation, optimizing Hive queries and leveraging Spark for efficient data processing, reducing ETL processing time by 40%.• Synergized with data scientists and analysts to understand data requirements and deliver appropriate data solutions.

India

• Supervised the development of Power BI dashboards for clients, resulting in increased efficiency and refined decision-making by 23%.• Directed data pipelines using Alteryx manipulating data formats for accurate and reliable insights improving processing speed by 30%.• Synthesized Exploratory Data Analysis (EDA) to identify key trends and patterns in the data, providing actionable insights.• Incorporated statistical methods to analyze survey data, identifying key drivers of customer satisfaction and loyalty.• Built predictive models to forecast sales and revenue, employing regression and time series analysis, improving accuracy by 10% and informing business strategies.• Aligned with business stakeholders to gather requirements and ensure data solutions aligned with business objectives.• Created interactive visualizations and reports to present findings to stakeholders, facilitating data-driven decision-making.• Validated data quality checks and processes to ensure the accuracy and reliability of data reducing data errors by 15%.• Achieved a remarkable reduction of MAPE below 50% by employing powerful ensemble boosting models LightGBM and XGBoost with a dynamic rolling window approach over classical models to capture complex data patterns and overcome historical limitations.• Designed dynamic PowerBI dashboards to translate forecast results and scheduled Airflow DAGs to ensure daily data updates.• Analyzed operational data to identify inefficiencies and recommend process improvements, resulting in cost savings of 5%.• Executed SQL to query and analyze large datasets, extracting meaningful insights and trends improving data analysis efficiency by 15%.• Enforced Git branching strategies for version control, ensuring code integrity and collaboration and reducing code conflicts.• Configured and customized Jira projects, workflows, and boards to align with agile development methodologies.

India

• Coded an RFID-based parking management system with Arduino for efficient slot allocation and real-time occupancy monitoring.• Created an automated alert system with Arduino to detect wrongly parked vehicles, improving parking security and utilization by 26%.• Engineered software algorithms to optimize parking slot allocation, reducing search time by 40% through improved slot assignment.• Integrated the parking management system with existing infrastructure, ensuring seamless operation and minimal disruption.• Showcased the project to senior management, demonstrating the system's benefits and securing approval for further development.• Determined go-to-market tactics related to specific target customers, suppliers, and products in terms of marketing communication using PowerBI dashboard, CRM tools, and Machine Learning, enhancing customer reach while minimizing sales expenses.

Master Of Science - Ms, Data Science(Computer Science Majors), 3.92

Activities and Societies: Member of the Data Science Club Active participant in the Machine Learning and Artificial Intelligence Society.

Bachelor'S Degree, Electrical And Electronics Engineering, 8.24

Activities and Societies: Secretary of Web & Design Society, Students Gymkhana, IIT Bhubaneswar Assistant Co-Ordinator, Counselling.