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Hi! I’m Ratnapriya, a Senior Data Scientist specializing in Machine Learning, NLP and predictive modeling. I build end-to-end solutions that turn audio, text and tabular data into reliable, production-ready systems; from data design and feature engineering to model training, evaluation and deployment. What I deliver: • Text summarization, sentiment, topic & NLP pipelines (transformers + classical) • Speech emotion & audio analysis (MFCCs, spectrograms) • Predictive models & lead scoring (XGBoost, tabular pipelines) • Clustering/EDA for root-cause analysis and automation workflows I focus on clear results, reproducible code, and outputs non-technical teams can use. I can start immediately.

Data Scientist & AI/ML Engineer with 5+ years in building systems that think, predict, and automate; not just API calls. I take raw, messy and unstructured data and turn it into production-ready pipelines, predictive models, and executive dashboards that drive decisions. I design and ship end-to-end data and ML systems: reducing time-to-insight from weeks to hours, automating workflows that used to take entire teams, and building models that directly feed revenue. If your business runs on data, I make it generate revenue, not just reports. 🔧 Core Expertise 1. Data Analytics & BI : Exploratory analysis, KPI frameworks, executive dashboards, A/B testing, cohort analysis (Excel, Power BI, Tableau, Plotly, Looker) 2. Data Science & ML : Predictive modeling, forecasting, statistical analysis, feature engineering, model validation and deployment (Scikit-Learn, PyTorch, TensorFlow, MLflow, AWS SageMaker) 3. Data Engineering : End-to-End pipelines, ETL/ELT automation, data warehousing, real-time and batch processing (Snowflake, Databricks, dbt, Apache Spark, Airflow) 4. Generative AI : RAG pipelines, LLM fine-tuning, agentic workflows, semantic search, prompt engineering, vector databases (LangChain, LlamaIndex, Pinecone, FAISS, OpenAI, HuggingFace) 5. Automation : Workflow orchestration, API integrations, intelligent agents, process automation, web scraping (n8n, Airflow, Lambda, Selenium, BeautifulSoup) 6. Cloud & Infrastructure model deployment, scalable data systems, serverless pipelines, storage and compute (AWS- SageMaker, EC2, S3, Lambda, RDS) 💡Why Clients Work With Me Most data projects fail not because of bad data, but because the person handling it understands models but not business. I bridge both. 5+ years solving real business problems with AI and data means I understand the business problem before I touch the data, and I build solutions that solve it end to end. I communicate at every step, flag issues before they become problems, and make sure what I build fits your workflow, your team, and your timeline. What you get is senior expertise, fast turnaround, and work that is built to last beyond the contract. Let's Talk If you have data that is not working hard enough for your business, that is exactly the problem I solve. Send me a message describing your project, and I will respond within an hour.

I am Naresh, co-founder of Amenity Technologies, a company that specializes in assisting companies with AI/ML and Data Science & Analytics. I provide end-to-end AI consultancy. I'm a senior computer vision and machine learning engineer with vast experience in full-stack development, AR/VR, and robotics. with more than 8.5+ years of expertise working with businesses to produce creative initiatives that will bring value to their projects based on innovation. The following is a list of the technologies I employ daily when I code: ✅ N8N automation for restaurants calling bot, voice calling bot for Real Estate clients, sales team training voice bot. ✅ AI Agents: Implemented Agentic workflow with LLMs, SLMs, RAGs, Agentic RAG, LangFuse. ✅ LLMs: AI based Marketing Journey Crerator, Document Parsing, FAQ bot, RAG systems with Open AI and without Open AI also on our own could. Have used LLMs like DeepSeek, LAMA, Minstrel, Hugging Face etc. ✅ Fullstack: Python, C++, Django, Flask, JS, React, NodeJS, Typescript, Docker, Kubernetes ✅ ML/DL: Mediapipe, Pytorch/Keras, Transformers, RasaNLP, SparkML, SparkNLP, LGBM, and many others ✅ Computer Vision: OpenCV, Open3D, PCL, VisualSLAM, OpenMVG, FFMPEG, and more ✅ Cloud solutions: Cloud Compute, Vertex AI, Cloud SQL, Cloud Functions, AWS ✅ We have created Algo trading bot for Indian stock market. The cases I work with: ✅ Machine Learning & AI: - Algorithms like KNN, K-MEAN, DBSCAN, MEAN SHIFT - Data cleaning, filling in missing values & selecting the best features - Prediction models which use logistic & linear regression, Decision Tree, Random Forest, Naive Bayes, SVM - Graphical analysis via matplotlib ✅ Deep Learning & AI: - Image Classification via CNN, GoogLeNet, VGGNet, ResNet - Object Detection via F-RCNN, YOLO, SSD, R-FCN - Object tracking via SAE and CNN, FCNT, MDNET - Semantic Segmentation via DeepLab, RefineNet - Instance Segmentation via Mask RCNN - 3D Object Segmentation and Detection - 3D Reconstruction ✅ Data Science & Analytics: -Data wrangling -Data Wrangling via Pandas, NumPy, Scikit-learn -Data Visualization via Matplotlib, Seaborn, Plotly -Statistical Analysis via SciPy, Statsmodels, PyMC3 -Machine learning -Machine Learning via Scikit-learn, TensorFlow, PyTorch -Natural language processing -Natural Language Processing via NLTK, SpaCy, Gensim -Recommender system -Recommender Systems via Surprise, LightFM, Implicit -Big data -Big Data via Spark, Hadoop, Dask ✅ NLP & AI: - Sentiment Analysis - Sentence segmentation - Named Entity Recognition - Auto punctuation - Converting unstructured data into structured data - POS tagging ✅ IoT & Cloud: - Lambda in AWS, Alexa Skill Development - Raspberry Pi, Nvidia Jetson Nano, Arduino, Banana Pi, Intel Movidius - Android app for IoT and cloud - Custom Google Assistant and Alexa - Smart Home Shoot me a message if you got an idea, I am here to bring it to life!

AI Architect | Agentic AI | RAG | NL2SQL | Intelligent Automation | Enterprise AI Solutions I am an AI Architect and Enterprise Technology Strategist with 20+ years of experience designing scalable, production-grade enterprise systems and advanced AI solutions. I specialize in building intelligent systems that automate operations, improve decision-making, and reduce operational costs through modern AI architectures and enterprise-grade engineering. ✅ Agentic AI Systems ✅ Retrieval-Augmented Generation (RAG) ✅ Natural Language to SQL (NL2SQL) ✅ Intelligent Document Processing (IDP) ✅ LLM Integration & Prompt Engineering ✅ AI-Powered Screening & Automation Systems ✅ Fraud Detection & Graph Intelligence ✅ Deep Learning & Predictive Analytics ✅ Enterprise Application Architecture ✅ Real-Time Streaming & Analytics I have successfully designed and delivered AI-driven solutions for complex enterprise environments, focusing on automation, scalability, performance, and security. Key areas of work include: ✅ Production-grade NL2SQL systems ✅ Intelligent document automation using LLMs ✅ RAG-based enterprise knowledge systems ✅ AI-powered screening and recommendation platforms ✅ Graph-based fraud detection systems ✅ Computer vision and image classification solutions ✅ Real-time analytics and streaming intelligence systems My technical stack includes: Python | LangChain | TensorFlow | Keras | Scikit-learn | LLMs | Vector Databases | Graph DB | Docker | AWS | OpenShift | Enterprise Application Architecture What clients value most when working with me: ✅ Enterprise-grade architecture mindset ✅ Strong communication and business understanding ✅ Secure and scalable AI system design ✅ Ability to convert complex ideas into production-ready solutions ✅ Long-term strategic technology guidance I focus on delivering practical, scalable, and business-oriented AI solutions that create measurable impact and long-term value.

Machine Learning Engineer specializing in medical image analysis, deep learning, RAG pipelines, LLM development, generative AI and time series forecasting delivering production-ready AI systems built on real-world data. I help researchers, startups and enterprises turn complex data — medical images, documents, sensor signals and time series into reliable machine learning systems for detection, classification, prediction and intelligent automation. Every project I deliver is a working, documented system not a research prototype. Medical Image Analysis & Computer Vision I develop deep learning models for medical imaging and computer vision applications including image classification, object detection and semantic segmentation. Work covers MRI, CT, X-ray, whole slide image analysis, histopathology and EEG/ECG biosignal processing. Models: YOLOv8, UNet, ViT, EfficientNet, ResNet, Mask RCNN, SAM Frameworks: PyTorch, TensorFlow, OpenCV RAG Pipelines, LLM & Generative AI I build retrieval-augmented generation systems, AI agents and custom LLM chatbots for enterprise and research use. Work covers document Q&A, knowledge base search, LLM fine-tuning and AI workflow automation. Tools: LangChain, LlamaIndex, OpenAI GPT, LLaMA, Mistral, HuggingFace Vector DBs: ChromaDB, Pinecone, FAISS Time Series Forecasting & Anomaly Detection I build forecasting and anomaly detection models for finance, retail, IoT, energy and industrial domains. Work covers demand forecasting, predictive maintenance, multivariate time series and real-time anomaly detection. Models: LSTM, Transformer, Prophet, XGBoost, LightGBM Message me with your project — I will tell you exactly what is achievable and the best approach for your data.

I'm a Mathematics postgraduate (MSc Mathematics) with 1+ year of hands-on AI evaluation experience across Scale AI, Invisible Technologies, DataAnnotation, and Mindrift. I specialise in: → RLHF & LLM response evaluation (accuracy, reasoning, hallucination detection) → Prompt engineering & chain-of-thought quality review → Mathematical & analytical AI output assessment → Data analysis using Python, R, SQL & Tableau What makes me different: I don't just flag errors — I understand WHY an AI response fails logically or factually, and I provide structured, actionable feedback that actually improves model performance. 📊 100% Job Success | ⭐ Top Rated | $3K+ Earned| Ex-Outlier AI Currently available for AI evaluation, data annotation QA, prompt testing, and data analysis projects. Let's talk.