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Masters of computer science in Government arts college Autonmous with First class - Distinction with D+ Grade
Bachelor of computer science in Sri ganesh college of arts and science with First class with D Grade
I Attempted in Tcs ION NPT Machine Learning Exam with 51%
Awarded for outstanding contribution to the PG student project financial assistance scheme. collect to cash reward, And I achived certificate 2022-2023
Won an academic excellence certificate for second rank in the semester examination 2022-2023
Won certificate to acted as coordinator for QUIZ event held during Student Association of Computer Science 2023
I completed Data Science program in Edureka salem center Feb-2024
I have successfully delivered impactful insights and data-driven solutions in areas such as Data Science. My journey has equipped me with proficiency in tools like Python, SQL, and popular libraries such as Pandas, NumPy, TensorFlow, and scikit-learn.
Throughout my career, I've collaborated with cross-functional teams, translating data findings into actionable strategies to drive business growth. I am driven by a constant curiosity to explore new methodologies, stay updated on industry trends, and apply innovative approaches to problem-solving.
Let's connect and explore how my skills in data science can contribute to solving challenges and unlocking opportunities in your organization!
Speech Recognition: Utilized speech_recognition for accurate voice-to-text conversion. Natural Language Processing (NLP): Implemented NLP library to understand user commands and queries. Text-to-Speech (TTS): Integrated speech_recognition for generating natural-sounding responses. Created a robust system for recognizing predefined voice commands, such as "Hey sriri" "Search wikipedia content," and "Read notifications."
Collaborated with a cross-function team to develop a sentiment analysis model for amazon reviews using natural processing techniques. Implemented machine learning algorithms to classify reviews into positive, negative, or neutral sentiment. Achieved 92% accuracy contributing to improvedUnderstanding of customer feedback and guiding product development strategies.
Conducted exploratory data analysis (EDA) on grocery sales dataset, identifying key patterns and trends. Applied the Apriori algorithm for association rule mining to uncover relationships between different grocery items. Developed Python scripts to preprocess data, run the Apriori algorithm, and visualize results. Utilized data analysis techniques to derive actionable insights, contributing to improved marketing strategies.
Led the development of a news classification model to categorize articles into predefined topics using machine learning algorithms. Implemented natural language processing techniques for feature extraction and text representation. Find the best machine learning model to implement and select which model given the highest accuracy score. Achieved 97% accuracy in classifying news articles, improving content categorization and user experience on the platform
Overview: The dashboard offers an overview of various weather metrics including temperature, humidity, wind speed, and precipitation. Geospatial Analysis: It includes interactive maps displaying geographical variations in weather patterns, allowing users to explore weather conditions across different regions. Forecasting: The dashboard incorporates forecasting models to predict future weather trends, providing valuable insights for planning and decision-making. Design: The dashboard is well-designed with a clear layout, color palette, and formatting, ensuring clarity and readability for users.
Deep Learning Framework: Utilized keras libraries for model development. Convolutional Neural Network (CNN): Implemented a CNN architecture for image feature extraction and classification. Data Preprocessing: Conducted thorough data preprocessing including normalization and augmentation. Run with python GUI application interface, and insert into the image which type image name will show. Effectiveto predictive across the model
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