9949989858

Hi There,

I am Venkateswara Rao

I am having 5 + years of experience in Data Science which includes Machine learning , Deep learning, Generative AI

Years of Experience

0 0 +

Projects Completed

0 +

Satisfied Clients

0 +

Data scientist having 5+ year of expeience

Years of Experience

0 0 +

Project Completed

0 +

Satisfied Clients

0 +

Dynamic and results-driven Data Scientist with over 5+ years of experience specializing in Generative AI, Large Language Models (LLMs) and good knowledge on Agentic AI Demonstrates expertise in the complete data science life cycle, including data gathering, wrangling, extraction, and visualization of both structured and unstructured data.

Proficient in developing and deploying sophisticated machine learning models, including supervised algorithms for classification and regression, as well as unsupervised techniques for clustering and association.

Strong analytical skills combined with a solid understanding of data mining and deep learning methodologies, ensuring effective training and evaluation of models to drive actionable insights and innovative solutions. Passionate about leveraging data to solve complex problems and enhance decision-making processes.

My Skills

Python

90 %

Machine Learning

80 %

Deep Learning

80 %

NLP

80 %

Generative AI

70 %

Explore My Work

My Portfolio Of Success

GenAI

Question and Answers generating system

To develop an advanced Question and Answer system that leverages Generative AI and RAG techniques using LLM. This system aims to enhance the accuracy and relevance of answers by combining generative models with a robust retrieval mechanism

Agentic AI

Content Writing

AI-powered content writing assistant automates tasks like grammar checks, sentence structuring, and SEO optimization, while generating draft content and style suggestions. It enhances efficiency, allowing writers to focus on creativity and idea development, making it invaluable for writers.

Computer Vision

Object Detection

Object detection system using Python and the YOLO algorithm, which employs Convolutional Neural Networks. The system detects objects in images or video streams, draws bounding boxes around detected objects, and classifies them into predefined categories.

Deep Learning

Speech Recognition

Advanced speech recognition system using deep learning to improve transcription accuracy. It addresses challenges like diverse accents, background noise, and specialized vocabulary by enhancing accent recognition, noise robustness, and contextual understanding for better performance in applications like virtual assistants

Computer Vision

Anomaly Detection

This research automates rail track defect detection using Deep Learning, focusing on seven defect types. Models like CNN, Xception, and MobileNet were trained on image datasets, with MobileNet achieving the highest accuracy. The study highlights the potential for efficient and cost-effective rail maintenance.

NLP

Sentiment Analysis

This project develops a sentiment analysis model to automatically classify restaurant reviews (positive, negative, or neutral) from online platforms. By automating feedback analysis, it helps restaurant owners gain actionable insights, improve customer experience, and enhance operational efficiency.

Machine Learning

Mining

To estimate the percentage of silica in iron ore, reducing the current detection time and improving steel production efficiency by minimizing impurities. And also to predict the amount of iron ore extracted, optimizing inventory management, production planning, and operational efficiency in the steel industry.

Machine Learning

Banking

This project aims to develop a machine learning model for detecting fraudulent credit card transactions using a provided dataset. By accurately identifying fraud, the system will protect bank customers from unauthorized charges and reduce financial losses for the company.