📱 | ✉️ E-mail: raghavendranhp@gmail.com | 🌐 LinkedIn: LinkedIn Profile | 🐙 GitHub: GitHub Profile

📍 Location: Erode, Tamilnadu, India

• Programming Languages: Python, SQL
• Databases: MySQL, MongoDB
• Tools & Frameworks: Git, AWS (SageMaker, Lambda, S3, EC2), Streamlit,Docker, Powerpoint, Excel, Word
• Data Science / Machine Learning: Scikit-Learn, PyTorch, Pandas, NumPy, SciPy, NLTK, PySpark
• Data Visualization: Power BI, Tableau, Python-Plotly, Seaborn, Matplotlib
• Additional Technical Skills: AutoCAD 2015, Pro-e, Ansys, Rs logix Micro English

• Advanced Programming Professional in Master Data Science - IIT, Madras
• Master Data Science - Guvi
• The Nuts and Bolts of Machine Learning - Google (Coursera)
• Generative AI - Google Skill Boost
• Python - Guvi
• Applied Data Science Lab - WorldQuant University

• Collaborative Contributor
• Flexible Adaptor
• Innovative Solver
• Visionary Leader
• Compassionate Connector
• Clear Communicator

• Bachelor of Engineering Mechanical Engineering Anna University, Apr 2014

(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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Govt College, | JUN 2014 - OCT 2020

• Developed and implemented curriculum modules in manufacturing, thermal, and fluid mechanics.
• Integrated real-world industrial insights into lectures, emphasizing practical applications.
• Pioneered courses in E-Vehicle Technology and Digital Manufacturing.
• Instructed on ladder logics and automation techniques, bridging theory with industrial applications.

Right Link Impex, | Nov 2020 - Present

• Played a crucial role in leveraging data to optimize production processes, enhance product quality, and drive operational efficiency within the organization.
• Conducted comprehensive data analysis to identify trends, patterns, and opportunities for improvement in product development, manufacturing operations, and supply chain management.By the implementation of continuous monitoring processes data accuracy increased by 27%
• Developed and maintained dashboards, reports, and performance metrics to monitor key performance indicators (KPIs), track progress towards goals, and identify areas for optimization.
• Spearheaded the development and implementation of an automatic loader for products, resulting in a remarkable 25% reduction in labor costs and significant time savings in loading and unloading processes.