Data Scientist | Machine Learning Engineer | Robotics & AI Enthusiast

Hi! I’mRaghavendran S, aData Scientist with2+ years of experience in IT services, application development, and data-driven solutions.

Currently pursuingM.Tech in Robotics & AI atAnna University, I specialize inmachine learning,computer vision,robotics, andautomation technologies. My passion lies in combining programming, AI, and robotics to createintelligent systems that solvereal-world challenges.

With expertise inPython programming,machine vision, anddeep learning frameworks, I focus on building scalable applications, integrating APIs, and developingAI-powered tools fordata analysis,automation, androbotic systems.

• Master of Technology (Robotics & AI) – Anna University, Chennai (Pursuing)
• Master Data Science Program – IIT Madras - GUVI (November 2023)
• Bachelor of Engineering (Mechanical) – Anna University, Chennai (April 2014)

• Programming Languages: Python, SQL, NoSQL
• Frameworks & Libraries: Flask, TensorFlow, PyTorch, Pandas, NumPy, Scikit-Learn, OpenCV, Streamlit
• Robotics & AI Tools: RoboDK, MATLAB, ROS (Robot Operating System)
• Computer Vision & Machine Vision: OpenCV, Image Processing, Object Detection, Feature Matching
• Machine Learning Techniques: Neural Networks, Reinforcement Learning, Autoencoders, GANs
• APIs & Deployment: AWS (SageMaker, Lambda, S3), WhatsApp API, YouTube API
• Databases: MySQL, MongoDB, SQLite3
• Visualization Tools: Power BI
• Version Control: Git, GitHub
• Soft Skills: Problem-solving, Team Collaboration, Client Communication

• Developed abulk messaging application integrated with theWhatsApp API, improving client outreach by30%.
• Implementedautomation androle-based privileges for streamlined campaign management.

• Conducted market research for a ₹20–30 lakhinvestment plan in Coimbatore.
• Delivered insights that improved ROI by20% throughdata-driven strategies.

• Built arole-based inventory platform for businesses with50+ users.
• Features includeproduct management,stock alerts, anddetailed reporting, reducing stock outages by40%.

• Simulatedpick-and-place operations usingRoboDK for industrial automation.
• Developedrobot motion sequences and optimizedgripper positioning for precision tasks.

• Built areal-time object detection model usingOpenCV andTensorFlow.
• Enhanced accuracy withfeature extraction andpattern matching algorithms formachine vision systems.

• Advanced Programming in Data Science – IIT Madras
• The Nuts and Bolts of Machine Learning – Google (Coursera)
• Deep Learning Specialization – Coursera (Andrew Ng)
• Robotics Fundamentals – RoboDK Training

I’m always open to discussions aboutAI,machine learning,robotics,automation, andcomputer vision. Let’s collaborate and build something amazing!

📧Email:raghavendranhp@gmail.com
🌐LinkedIn:https://www.linkedin.com/in/raghavendransundararajan/
💻GitHub:https://github.com/raghavendranhp

(Includes Capstone Projects ,Educational Projects )

Predictive Analytics in Automotive Manufacturing: Testing Time Optimization

• Developed project centered on optimizing testing time in automotive manufacturing.
• Achieved competitive R^2 scores with machine learning models.
• Orchestrated a robust stacking ensemble for efficient testing time predictions.
• Key Skills: Predictive Analytics, Machine Learning, Feature Engineering.
• Visit Repo

Industrial Copper Modeling

• Spearheaded Industrial Copper Modeling project in the manufacturing domain.
• Developed regression and classification models with impressive R-squared and accuracy.
• Implemented an interactive Streamlit web application for real-time predictions.
• Key Skills: Regression Models, Classification Models, Streamlit.
• Visit Repo

Revving Up Predictions: Forecasting Car Sales Trends in the UK

• Engineered a robust SARIMA model for superior forecasting in the UK car sales domain.
• Achieved optimal results with SARIMA, surpassing competitors with a remarkable RMSE.
• Executed the project using Python, Pandas, and SARIMA for accurate predictions.
• Key Skills: Time Series Analysis, Forecasting, SARIMA, Python.
• Visit Repo

Attrition Alchemy: Data-Driven Insights and Predictive Strategies for Employee Retention

• Led predictive model development for a 15% annual attrition rate organization.
• Achieved 98% accuracy and 0.92 F1 score, revealing crucial factors like job satisfaction.
• Implemented SMOTE for target variable balance, reducing attrition rates effectively.
• Key Skills: Predictive Modeling, SMOTE, Data-Driven Insights, Employee Retention.
• Visit Repo

YouTube Data Analyzer: Unveiling Insights from Social Media Channels

• Developed Python-based YouTube Data Analyzer using MongoDB, SQL, and Streamlit.
• Optimized data retrieval, enhancing user interaction and boosting efficiency by 18%.
• Empowered content creators with data-driven insights for refining strategies.
• Key Skills: Python, MongoDB, SQL, Streamlit, Data Analysis, Efficiency Optimization.
• Visit Repo

Resale Revelations: Predictive Expedition into Singapore Flat Prices

• Pioneered machine learning model achieving 92% accuracy in predicting resale flat prices.
• Conducted meticulous data wrangling and exploratory data analysis (EDA).
• Orchestrated streamlined model deployment using Streamlit for user-friendly web application.
• Key Skills: Machine Learning, Data Wrangling, Streamlit, Real Estate Analytics.
• Visit Repo

Dynamic Hotel Recommendation System Using Natural Language Processing

• Developed Python system for personalized hotel recommendations using NLP.
• Aligned user descriptions with hotel features to enhance satisfaction.
• Implemented effective recommendation algorithm for curated suggestions.
• Key Skills: NLP, Hotel Recommendations, Personalization.
• Visit Repo

Phonepe Pulse Data Visualization and Exploration

• Led development of Phonepe Pulse Data Visualization project.
• Utilized Python, Pandas, and MySQL for data extraction and processing.
• Engineered an interactive dashboard with Streamlit and Plotly for real-time insights.
• Key Skills: Data Visualization, Python, Pandas, MySQL, Streamlit, Plotly.
• Visit Repo

Cardify: Business Card Data Extraction and Management

• Developed Streamlit app automating business card data extraction, reducing entry time by 40%.
• Integrated EasyOCR for efficient image text extraction, deployed on Streamlit Cloud.
• Resulted in a centralized database accessible with a focus on user-friendly data management.
• Key Skills: Streamlit, OCR, Data Extraction, Data Management.
• Visit Repo

Airbnb Data Analysis Project

• Executed Airbnb Data Analysis project, enhancing data preparation efficiency.
• Contributed to a modular codebase with a 98% project evaluation score.
• Provided valuable insights for data-driven decision-making in travel and property domains.
• Key Skills: Python, MongoDB Atlas, Power BI, Data Analysis.
• Visit Repo

Sentiment Insight: Analyzing Public Perceptions of COVID-19 Vaccination through NLP

• Conducted sentiment analysis on COVID-19 vaccine tweets with improved accuracy.
• Utilized NLP techniques for sentiment extraction and trend analysis.
• Visualized sentiment distribution and generated word clouds for concise insights.
• Key Skills: NLP, Sentiment Analysis, Data Preprocessing, Visualization.
• Visit Repo

Credit Card Fraud Detection

• Developed fraud detection model with autoencoders and logistic regression.
• Achieved 95.3% accuracy with high precision and recall.
• Demonstrated expertise in anomaly detection and model evaluation.
• Key Skills: TensorFlow, Keras, Pandas, Scikit-Learn, Anomaly Detection.
• Visit Repo

SpamGuard - Intelligent SMS Filtering System

• Develop a machine learning-based spam detection system for SMS messages.
• Utilized Kaggle's SMS Spam Collection dataset for training and evaluation.
• Achieved a high accuracy of 98.48%, with precision at 94.20%, recall at 93.53%, and an F1 score of 93.86%.
• Key Skills :Text preprocessing, Bag of Words, Multinomial Naive Bayes model.
• Visit Repo

Optimized Resume Screening System Using NLP and ML for Enhanced Efficiency

• Developed Resume Screening System with NLP and ML, achieving 99% accuracy.
• Implemented KNeighborsClassifier in OneVsRestClassifier for multi-class classification.
• Metrics include precision, recall, and F1-score on training and test sets.
• Key skills: Advanced text preprocessing, TF-IDF vectorization, and data visualization.
• Visit Repo

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