Ravindranath Reddy Karnati Venkata Email & Phone Number
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Ravindranath Reddy Karnati Venkata is listed as Associate Data Science Manager at Tredence Inc., a company with 3400 employees, based in Cary, North Carolina, United States. AeroLeads shows a matched LinkedIn profile for Ravindranath Reddy Karnati Venkata.
Ravindranath Reddy Karnati Venkata previously worked as Data Scientist with Generative AI at Changing The Present and Research Assistant – Machine Learning and Artificial Intelligence at Texas A&M University. Ravindranath Reddy Karnati Venkata holds Master Of Science - Ms, Data Science(Computer Science Majors), 3.92 from Texas A&M University.
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About Ravindranath Reddy Karnati Venkata
As a passionate and certified Data Scientist with over six years of experience, I specialize in leveraging machine learning, data engineering, and advanced analytics to solve complex problems and drive innovation. My expertise spans Python, SQL, Spark, and cloud technologies, allowing me to develop predictive models, optimize data pipelines, and deliver actionable insights that contribute to business growth.Throughout my career, I’ve worked at renowned organizations such as KPIT Technologies, where I led the development of a predictive maintenance model for automotive systems, achieving a 30% reduction in failure rates and saving $8 million annually. Additionally, I optimized customer retention by 28% through data-driven pricing strategies.Key achievements include:- Developing an Enhanced Perimeter Intrusion Detection System, reducing false alarms by 26%, funded by the Department of Defense.- Building a conversational AI system that responded to over 10,000 queries and generated 200+ dashboards, improving productivity by 36%.- Streamlining ETL pipelines, reducing a 90-hour monthly workload by automating data processing across multiple sources.- I hold a Master of Science in Data Science from Texas A&M University and a Bachelor of Technology in Electronics and Communication from IIT Bhubaneswar. Academic highlights include building a 3D convolutional LSTM model for vehicle protection threat detection and developing an MLOps pipeline for chest X-ray classification, aiding clinical decision-making.Committed to continuous learning, I stay updated on industry trends and technologies, thriving in fast-paced environments. I excel in both independent and collaborative work settings, with strong communication skills that enable me to convey complex technical concepts to diverse stakeholders, ensuring seamless collaboration.Let’s connect to explore how my skills and experience can contribute to your organization’s success.
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Ravindranath Reddy Karnati Venkata work experience
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Data Scientist With Generative Ai
CurrentImplemented 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.
Research Assistant – Machine Learning And Artificial Intelligence
- 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.
- 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.
Generative Ai Engineer
- 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%.
Data Scientist
- 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%.
Data Engineer
- 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%.
Senior Data Analyst
- 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.
Business Analyst
- 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.
Colleagues at Tredence Inc.
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Priyanka Agarwal
Colleague at Tredence Inc.
Pune, Maharashtra, India, India
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Rohan Bitne
Colleague at Tredence Inc.
Pune, Maharashtra, India, India
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AM
Anmol Mishra
Colleague at Tredence Inc.
Plano, Texas, United States, United States
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PB
Prasad Birari
Colleague at Tredence Inc.
Bengaluru, Karnataka, India, India
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KS
Kshitij Saigal
Colleague at Tredence Inc.
Nagpur, Maharashtra, India, India
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NK
Nagaraja K
Colleague at Tredence Inc.
Bengaluru, Karnataka, India, India
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AM
Archit Mishra
Colleague at Tredence Inc.
Varanasi, Uttar Pradesh, India, India
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PG
Prateek Goyal
Colleague at Tredence Inc.
Gurugram, Haryana, India, India
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AS
Anugraha Sinha
Colleague at Tredence Inc.
Toronto, Ontario, Canada, Canada
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AZ
Ajit Zod
Colleague at Tredence Inc.
Bengaluru, Karnataka, India, India
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Ravindranath Reddy Karnati Venkata education
Master Of Science - Ms, Data Science(Computer Science Majors), 3.92
Bachelor'S Degree, Electrical And Electronics Engineering, 8.24
Frequently asked questions about Ravindranath Reddy Karnati Venkata
Quick answers generated from the profile data available on this page.
What company does Ravindranath Reddy Karnati Venkata work for?
Ravindranath Reddy Karnati Venkata works for Tredence Inc..
What is Ravindranath Reddy Karnati Venkata's role at Tredence Inc.?
Ravindranath Reddy Karnati Venkata is listed as Associate Data Science Manager at Tredence Inc..
Where is Ravindranath Reddy Karnati Venkata based?
Ravindranath Reddy Karnati Venkata is based in Cary, North Carolina, United States while working with Tredence Inc..
What companies has Ravindranath Reddy Karnati Venkata worked for?
Ravindranath Reddy Karnati Venkata has worked for Tredence Inc., Changing The Present, Texas A&M University, Kpit, and Mtu Solutions.
Who are Ravindranath Reddy Karnati Venkata's colleagues at Tredence Inc.?
Ravindranath Reddy Karnati Venkata's colleagues at Tredence Inc. include Priyanka Agarwal, Rohan Bitne, Anmol Mishra, Prasad Birari, and Kshitij Saigal.
How can I contact Ravindranath Reddy Karnati Venkata?
You can use AeroLeads to view verified contact signals for Ravindranath Reddy Karnati Venkata at Tredence Inc., including work email, phone, and LinkedIn data when available.
What schools did Ravindranath Reddy Karnati Venkata attend?
Ravindranath Reddy Karnati Venkata holds Master Of Science - Ms, Data Science(Computer Science Majors), 3.92 from Texas A&M University.
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