Greetings! I am a PhD candidate in Statistical Machine Learning (ML), and a certified Machine Learning Scientist and Data scientist (Upwork & IBM) with both Master’s and Bachelor’s degrees in Statistics. My strong academic foundation equips me advanced data science and ML workflows. I specialize in developing predictive models for financial markets—particularly in crypto and stock price forecasting—using time series analysis, deep learning, and ensemble methods. My work also involves designing and backtesting algorithmic trading strategies, optimizing model performance under live market conditions, and building interactive dashboards for real-time data visualization and decision support. 🌟 Top Rated on Upwork – Consistent record of client satisfaction and delivery excellence. 🔍 Why Hire Me? ✅ Advanced ML Expertise I leverage cutting-edge techniques to deliver highly accurate and innovative predictive solutions. ✅ Comprehensive Tool Proficiency Programming: Python, R Dashboards & Visualization: Tableau, Power BI, Streamlit Statistical Software: SPSS, STATA, E-Views, Minitab Database & Cloud: SQL, Google Cloud (for scalable, production-ready ML deployments) ✅ Quantitative Research Strength Deep experience in algorithm design and time series forecasting enables trend prediction with exceptional precision. ✅ End-to-End Execution From data ingestion to predictive modeling and visualization, I manage the full pipeline with performance and clarity in mind. ✅ Clear Communication I break down complex ML models and insights into intuitive, actionable formats for stakeholders and non-technical audiences. 💼 What I Deliver: Predictive Modeling Time Series Forecasting & Analysis Interactive Dashboards in Tableau, Power BI, and Streamlit Risk Assessment & Optimization Models Feature Engineering & Model Tuning Visual Analytics & Business Intelligence

Experienced Data Scientist with a track record of over 5 years in data analysis, statistical modeling, and machine learning. Delivered more than 20 projects to clients all over the world.

Transforming complex data into scalable, production-ready AI solutions. With over 7 years of experience and a consistent 5-star track record, I bridge the gap between advanced Data Science and high-performance software engineering. Whether you need a custom LLM integration, a predictive sales model, or a FastAPI-powered Deep Learning application, I deliver accurate, high-speed results. Clients describe me as "professional," "reliable," and "extraordinarily fast." I don't just build models; I build business assets. Core Expertise & Services: Generative AI & NLP: Specializing in LLM integration, Retrieval-Augmented Generation (RAG), and custom Named Entity Recognition (NER) models for automated data extraction. Predictive Analytics: Building advanced pipelines for Price Prediction, sales forecasting, and time-series analysis using Ensemble methods (Voting Regressors, Random Forest, XGBoost). Computer Vision & Deep Learning: Expertise in Medical Image Classification, object detection, and video generation algorithms. E-commerce Intelligence: Specialized in ranking factor analysis (Google Shopping/Amazon) to uncover correlations that drive product visibility and revenue. AI Deployment (FastAPI): Expert at wrapping complex ML models into scalable, production-ready REST APIs for seamless frontend integration. Proven Success (Recent Project Highlights): Medical Image Classification: Developed a deep learning app with a FastAPI backend for real-time medical diagnostic support. E-commerce Ranking Analysis: Identified key correlation factors across multiple Google Shopping ranking signals to optimize product search placement. Advanced NLP/NER: Built custom Named Entity Recognition systems for complex document processing and information extraction. Price Prediction Pipeline: Designed an end-to-end machine learning system using a Voting Regressor to automate pricing strategies based on historical sales data. Technical Toolkit: Languages: Python (Expert), SQL. AI/ML: PyTorch, TensorFlow, Scikit-Learn, LangChain, HuggingFace. Data: Pandas, NumPy, Time Series Analysis, Statistical Modeling. Backend & Cloud: FastAPI, Flask, Docker, REST APIs, GPS Mapping. Why Choose Me? ✅ 5.0/5.0 Star Rating: Proven history of excellence and client satisfaction. ✅ Business Focused: I focus on metrics like increasing traffic, boosting subscriptions, and improving ROI. ✅ Fast Communication: Clear, professional English and rapid project turnaround. Ready to unlock the potential of your data? Let’s discuss how I can help you build the next generation of AI-powered tools. Click "Invite to Job" or "Message" to start the conversation!

Hi, I’m Aniket - a Machine Learning Engineer and Quantitative Systems Developer focused on building data driven trading and analytics systems. I work with Python, Pytorch, sciki learn, Pandas, and NumPy to develop ML models, backtesting engines, and paper trading platforms for financial and market data. My work emphasizes robust evaluation, risk aware design, and clean engineering, not just model accuracy. I specialize in: - ML for Financial & Market Data - Quantitative Strategy Research & Signal Modeling - ML Based Backtesting & Paper Trading Systems - Financial Time-Series Analysis & Feature Engineering - Risk Management & Performance Evaluation - End-to-End ML & Trading Pipelines I’m also an active open source contributor to production grade Python and data science/ML libraries, which helps me deliver maintainable, scalable, and reliable systems. Whether you need strategy research, an ML backtester, or a trading analytics pipeline, I bring a practical, engineering-first mindset focused on real-world results. Let’s collaborate to transform your data into actionable outcomes, on time and with precision.

I'm a freelance data analyst and stock market enthusiast. I specialize in several areas, including: 🧠 Machine Learning: I have expertise in developing ML models using PyTorch, TensorFlow, and Scikit-Learn. I create custom scripts and GUI-based applications for various ML tasks like classification, regression, and clustering. 📊 Data scraping using Python, Parsehub, and UiPath for data extraction in any format (CSV, JSON, Excel) 🤖 📈 Stock analysis using fundamental, technical, management, peer, and DCF value analysis in detail 💰 🤖 Trading bot creation for stocks, forex, and crypto, custom indicator and strategies for Pinescript, EA for MT4 and MT5, and AmiBroker 💻 🐍 Expert in Python for custom script and GUI-based application development 🌟 🎬 Video Editing and Post-Production: Specializing in long and short format video editing and post-production as per the latest trends. 📚 Dataset Creation: Proficient in creating structured datasets for machine learning projects. Collection, cleaning, and preprocessing of data from various sources. Transformation of raw data into usable formats for analysis and modeling. 🌐 Website Development: Expertise in developing and customizing websites using Shopify, WordPress, and other platforms. 🖼️ Photo Editing: Skilled in photo editing and retouching to enhance visual content. Here are some services that I offer 🤖 Machine Learning: ✅Natural Language Processing: models for question answering, named entity recognition, sentiment analysis, similarity detection, speech text, chatbots, passage re-ranking, and document layout token classification 🗣️💬📝 ✅Computer Vision: models for face detection and recognition, pose estimation, object detection, segmentation, stitching (panorama stitching), and homography warping 👁️📷 ✅Generative AI and GANs: models for super-resolution, text-to-image, image enhancement, synthetic images/video/audio generation, voice cloning, and text generation 🎨🖼️🎵 ✅Recommendation Systems: systems based on watched/visited history, interest, search, popularity, and user-based and item-based recommendations 🎯👥🔎 ✅Predictive Analytics: solutions for time series forecasting, anomaly detection, root cause analysis, KPIs development, data interpretations, and hybrid forecasting models for improved accuracy 📈📊🕰️ ✅Data Visualization: 2D and 3D visualizations using Matplotlib, Seaborn, Tableau, Pyrender, Open3D, point clouds, affine and projective transformation of images 📊📈🖼️ 🔍 Data Scraping: ✅Extraction from various sources including websites, social media platforms, and APIs 🌐 ✅Advanced web scrapings techniques such as pagination, infinite scrolling, and login authentication 🤖 ✅Clean and preprocess data for analysis or integration into existing systems 🧹 ✅Familiarity with tools such as BeautifulSoup, Scrapy, and Selenium 🛠️ ✅Experience with databases and data management tools such as MySQL and MongoDB 🗃️ 💰 Stock Analysis: ✅In-depth knowledge of financial statements and metrics such as P/E ratio, EPS, and ROE 💼 ✅Technical analysis using indicators such as moving averages, MACD, and RSI 📈 ✅Competitor analysis and benchmarking against industry peers 👥 ✅Experience with financial data providers such as Yahoo Finance, Alpha Vantage, and Quandl 📊 ✅Knowledge of statistical methods for stock price forecasting and trend analysis 📉 💸 Trading Bots: ✅Customized trading strategies for different asset classes such as stocks, forex, and crypto 💹 ✅Automated trading execution using APIs or broker-specific software 🤖 ✅Backtesting and optimization of trading algorithms for improved performance 📊 ✅Creation of custom indicators and scripts using tools such as Pinescript and MQL 💻 ✅Integration with third-party platforms such as TradingView and MetaTrader 🌐 🎬 Video Editing and Post-Production: ✅ Expertise in long and short-format video editing for YouTube, Instagram, TikTok, and other platforms 📹 ✅ Proficiency in the latest video editing software like Adobe Premiere Pro, Final Cut Pro, and DaVinci Resolve 🎥 ✅ Skills in colour grading, sound editing, motion graphics, and special effects 🌈🎵✨ ✅ Creation of engaging and trendy video content, including vlogs, tutorials, promotional videos, and more 🎬🔥 ✅ Efficient workflow to meet tight deadlines without compromising on quality ⏱️✔️ 🌐 Website Development: ✅ Shopify and WordPress development ✅Custom website solutions ✅E-commerce integration ✅Responsive design 🖼️ Photo Editing: ✅Professional photo retouching ✅Color correction and enhancement ✅Background removal ✅Creative photo manipulation

🏆 EXPERT-VETTED TOP 1% ON UPWORK |⭐ 5-Star Ratings | Data Analytics and Predictive Modeling|💎MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics |✅ R, PYTHON, SAS, Tableau, Power BI | ✅Data Science, Machine Learning Models | ✅STATA Master, Large Survey Data and Regression Analysis, Economic Policy Evaluation, Predictive Financial Modeling | 🏆PhD and 20 years of experience. ABOUT ME: 🏆 EXPERT-VETTED and TOP RATED PLUS status (TOP 1% on UPWORK) 🥇20 years of working experience with large corporations and institutions (Amazon, the World Bank, International Financial Corporation, University of Pennsylvania) 🎓PhD/Professor in Econometrics/Statistics/Data Science 💎Provide effective help for MASTER/PHD THESIS With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top Rated Plus), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. I have over 20 years of experience in empirical research, statistical analysis, econometric modeling, data science, machine learning models, data analysis (panel data analysis and time series analysis, complex survey design and analysis), data visualization, storytelling, and project management. I enjoy creating dashboards of data analytics to provide data insights, data trend, meaningful graphs, statistical analysis, story-telling summary that serves as key benchmark to influence business decision. Moreover, I also provide robust statistical evidence, regression/correlation analysis, machine learning predictive models to provide supportive and significant results for business projects. I also help clients understand different statistical techniques, regression techniques, learn excellent statistical language including STATA, SAS, R, and Python to make your life easier. My previous projects on machine learning and econometric modeling include the followings but not limited to: - Data Analysis, Large Survey Data Analytics and Data Visualization. - Linear regression with panel data and time series data. - Forecasting model for time series analysis - Financial modeling such as stock returns, cryptocurrency price prediction, financial indices and financial performance prediction. - Machine Learning models: Random forest, decision trees, KNN, neural network,... - Logistic models, multinomial logit models, ordered logit models. - Economics research, market research, house price, mortgage default prediction, - Program evaluation using different methods such as difference in difference, propensity score matching, instrument variables, fixed effects, regression discontinuity design. I am happy to share my knowledge on machine learning modeling as well as quantitative and analytical skills to help you succeed in your project. In addition, with my experience in participating and presenting in thousands of academic and industry conferences, supervising and guiding hundreds of college and graduate students in their thesis/dissertation, I am very confident that I can help you make a difference in your project and bring out the highest quality and great results for your Master or PhD's thesis/dissertation project. I can also provide statistical advice and statistical analysis including: - Descriptive Statistics. - Bi-variate analyses such as t-tests, correlations, chi-square tests and non-parametric tests for normal and non-normal data. - Multivariate analyses such as ANOVA, MANOVA, LDA, PCA and factoring analysis, regression analysis (see econometric models above). - Review and interpret statistical output, set up the appropriate hypothesis testing and write up conclusion and policy recommendation. - Tutoring Statistics, Math and Econometric courses: including both introduction and advanced courses. I have experience with different types of data including: - Survey data (household, market research, firm/business/country data, house price, loan performance, accounting, finance, health, labor and income, etc.) - Panel data - Time series data I help clients put together and analyze different types of survey data, panel and time series data, getting the data insights, build data trend and data stories with meaningful graphs and great visualization. With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top rated), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. Looking forward to working with you soon, Dr. Victoria

I’ve helped 50+ clients deliver quality products 3× faster while saving up to $10K/month in salaries using AI-assisted coding powered by solid computer science and machine learning fundamentals. I am a machine learning enthusiast interested in turning your meaningless data into actionable information. With 11 years of software development and 8 years specializing in ML, I’ve built and deployed end-to-end AI solutions across industries, from conversational bots to vision-based grading systems. I also hold a Master’s degree in Machine Learning. Currently, I lead a 45-engineer team delivering production-grade ML products. Our portfolio includes: ✦ Avatare — Conversational AI platform ✦ Compugrade — Revolutionary AI assisted autograding for K-12 ✦ AffectCX — a live conversational bot helping pharma sales teams ✦ Conversational AI Platform — multimodal retrieval + generation system ✦ Card Grading App — computer-vision-based grading for collectibles ✦ Image Steganography (security + CV) ✦ Image Super-Resolution (enhancement using GANs or diffusion) ✦ Urdu OCR (language-specific, low-resource script) ✦ Conversation Detection (speaker recognition / dialogue analytics) ✦ Generative Text/Code Assistant, Multimodal App, Edge-AI deployment 🧠 Technology Stack: Python (full scientific stack) • PyTorch • TensorFlow • Keras • JAX/Flax • ONNX/TFLite/CoreML • OpenCV • Caffe2 • MxNet • Fastai • Ray / Dask / Spark • Docker / Kubernetes • Cloud (AWS/Google/Azure) • Edge / TinyML 🤖 Machine Learning / AI Stack: Generative AI: GPT‑4, Llama 2, DALL·E, Whisper, Claude, Stable Diffusion • Traditional ML: Random Forests, KNN, K-Means, SVM, Logistic Regression • Deep Learning: Neural Networks (ANN), CNNs, RNNs, GANs, Transformers, BERT, Graph-NNs • Modern paradigms: Self-Supervised Learning, Contrastive Learning, Multimodal Learning, Federated Learning • Architecture: Retrieval-Augmented Generation (RAG), Vector-Databases, MLOps (CI/CD, model-monitoring, versioning) 🧩 Problems I’ve Worked On: Image Classification • Object Detection • Semantic / Instance Segmentation • Face Recognition • Neural Style Transfer • Image Super-Resolution • Image Generation (GANs/Diffusion) • Text Classification • Sentiment Analysis • Time-Series Forecasting • Optical Character Recognition (OCR) • Multilingual / Urdu OCR • Information Retrieval • Agronomy Chatbot • Conversational AI Platform • Game Agent with Reinforcement Learning • Pokémon Card Grading App • Image Steganography • Edge/Embedded AI Inference • Multimodal Conversation Detection Above all, I am a quick learner and like to face challenges head-on! Clients who have worked with me like the commitment and the quality of work I do. Feel free to contact me.

Expert-Vetted Top 1% on Upwork | Top 10 Machine Learning Agency on Upwork | 7+ Years in Production AI | Sports, Industrial, Satellite, Healthcare I'm a Computer Vision Engineer and Machine Learning Engineer with 7+ years delivering production-grade AI systems. Upwork has Expert-Vetted me as a Top 1% specialist in this niche, and our team is ranked among the Top 10 Machine Learning agencies on Upwork. I work with product teams and startups across sports analytics, industrial inspection, satellite and aerial imagery, access control, healthcare, and generative AI — any domain where visual data needs to become reliable, actionable output running in production. As a Computer Vision Engineer, my core work covers object detection, multi-object tracking, pose estimation, image segmentation, image processing, and real-time video analysis. I build end-to-end pipelines in Python using OpenCV, PyTorch, TensorFlow, and Keras, from dataset preparation and model training through TensorRT optimization and Docker deployment on cloud or NVIDIA Jetson edge hardware. I use C++ for performance-critical components where Python latency is a bottleneck. The domains where computer vision engineer experience creates the most value: sports analytics (player tracking, performance metrics, automated statistics from broadcast video), industrial inspection (defect detection and quality control on production lines), satellite and aerial imagery (object detection and segmentation for infrastructure analysis), access control and security (vehicle identification, multi-camera real-time monitoring), and healthcare and biomechanics (pose analysis, body measurement, and biomedical signal processing connected to AI coaching backends). As a Machine Learning Engineer and Data Scientist, I also build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When projects require generative AI or LLM components, I deliver RAG pipelines with LangChain and vector databases, synthetic dataset generation tools, and document processing systems using the Gemini API. Regardless of domain, the computer vision engineer approach stays the same: combine OpenCV-based preprocessing with deep learning inference into a scalable, testable pipeline that holds up under real-world conditions — variable lighting, occlusion, low resolution, multi-camera setups, and edge hardware constraints. I work with YOLO-family models, ByteTrack and DeepSORT for tracking, MediaPipe and MMPose for pose estimation, TensorRT and ONNX for inference optimization, and FastAPI with Docker for production deployment. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope complex systems, split parallel workstreams, and deliver a full Computer Vision Engineer engagement faster than a solo contributor could. Clients typically work with me when they need: - a Computer Vision Engineer to build detection, tracking, or segmentation systems from scratch - a Machine Learning Engineer to productionize a research model and meet latency requirements - a Data Scientist who can go from raw data to a deployable model end-to-end - an AI engineer to integrate LLM or generative components into an existing backend - real-time or edge inference optimized for NVIDIA Jetson or mobile deployment - a Python developer who understands both the AI pipeline and the surrounding system architecture If you need a Computer Vision Engineer with the full stack from dataset to deployed API, let's talk. Main stack: Python, OpenCV, PyTorch, TensorFlow, Keras, YOLO, ByteTrack, MediaPipe, MMPose, CoreML, TFLite, TensorRT, ONNX, scikit-learn, FastAPI, Docker, PostgreSQL, C++, NumPy, pandas, SciPy.

👋 I'm a Machine Learning Engineer and AI Infrastructure Specialist with deep expertise in building scalable, secure, and production-ready AI systems powered by cloud-native data and ML pipelines. With 6+ years of experience, I bridge the gap between data engineering and intelligent AI deployment. 🔑 Why work with me? ✅ I architect high-performance AI pipelines integrating machine learning, deep learning, and agent-based systems. ✅ I specialize in developing end-to-end AI applications — from raw data ingestion to real-time inference and decision-making. ✅ I’ve designed predictive models, automated workflows, and LLM-integrated systems for enterprises across automotive, public sector, and e-commerce. ✅ I bring hands-on experience with OpenAI models (GPT-4), multimodal AI, and hybrid systems combining structured data with unstructured inputs (vision, audio, text). ✅ My expertise spans both model development (training/tuning) and deployment (MLOps, cloud-native serving). 📌 AI & Data Engineering Expertise ➡️ Machine Learning & Deep Learning – Scikit-learn, XGBoost, PyTorch, TensorFlow, Transformers, GANs, Diffusion Models ➡️ LLM Applications & Integration – GPT-4, OpenAI APIs, prompt engineering, RAG pipelines, LangChain, vector databases (FAISS, Pinecone) ➡️ Computer Vision – Object detection (YOLO), OCR (PaddleOCR, EasyOCR), video intelligence, face recognition ➡️ Data & Feature Engineering – Spark (PySpark), Kafka, Airflow, scalable ETL workflows ➡️ Cloud Platforms – AWS (S3, Glue, Redshift, SageMaker, Lambda), GCP (BigQuery, Vertex AI), Azure (Data Factory, Synapse, Databricks) ➡️ AI-Powered Automation – Intelligent document processing, agentic AI tools, and real-time AI decision systems 📌 AI Systems & Deployment ➡️ Model Deployment – FastAPI, Flask, Docker, TorchServe, Kubernetes (EKS), CI/CD pipelines ➡️ Infrastructure as Code – Terraform, CloudFormation for reproducible AI infrastructure ➡️ Monitoring & Optimization – Real-time model monitoring, performance tuning, feedback loops 📌 Specialties in Applied AI & Innovation ➡️ AI-Powered Data Pipelines – Blending structured data with multimodal ML for actionable insights ➡️ AI Agent Development – Tool-integrated GPT agents for decision support and automation ➡️ Predictive Analytics – Forecasting, anomaly detection, recommendation engines ➡️ Data to Intelligence – Building systems that turn raw data into contextual, intelligent outputs If you're building the future of AI — from intelligent automation and real-time analytics to LLM-powered applications — I bring the engineering depth and AI expertise to make it real, at scale. 📩 Let’s connect and bring intelligent systems to life — fast, reliable, and production-ready.

👋 Expert Machine Learning, Generative AI Engineer and Full Stack Web Development. I am passionate about solving complex problems and making a positive impact. I bring experience across various projects, specialising in Machine Learning, Generative AI, and Cloud solutions. My expertise includes leveraging tools and frameworks such as Pandas, Matplotlib, Seaborn, Scikit-Learn, OpenCV, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, ChatGPT, Gemini, Llama, Cohere, Pinecone, LlamaIndex, and more to build innovative solutions. I am an AWS Certified Generative AI Developer Professional, AWS Certified Machine Learning Engineer Associate, AWS Certified AI Practitioner, Google Cloud Certified Associate Cloud Engineer, Google Cloud Certified Generative AI Leader, a Databricks Certified Generative AI Engineer Associate, and an Oracle Cloud Infrastructure 2024 Generative AI Certified Professional. I am skilled in data analysis, predictive modelling, sentiment analysis, classification, regression, clustering, and object detection. My strong foundation in Python, JavaScript, and SQL, coupled with experience developing REST APIs, enables me to create robust solutions. I am also well-versed in cloud computing, with expertise in deploying machine learning models on both Google Cloud and AWS. 🚩AREA OF EXPERTISE ----------------------------------- ✔️ LLM Fine-tuning & Deployment ✔️ Generative AI Applications ✔️ Retrieval-Augmented Generation (RAG) ✔️ Machine Learning (ML) and Deep Learning(DL) ✔️ Data Analysis and Visualisation ✔️ Natural Language Processing(NLP) ✔️ Time series forecasting, Anomaly detection ✔️ AI Applications building using open-source models and Hugging Face tools ✔️ GCP & AWS AI Services ✔️ API Development 🚩TECHNICAL SKILLS -------------------------------------------------------- ✔️ Python, JavaScript, SQL ✔️ LangChain | LangGraph | LlamaIndex | Autogen | Swarm | CrewAI | OpenAI GPT-4o | Claude | Gemini | Llama 3 ✔️ Pinecone | Qdrant | Chroma | FAISS ✔️ Numpy, Pandas, Jupyter Notebook, Matplotlib, Seaborn, Plotly ✔️ SciKit-Learn, NLTK, BeautifulSoup, Statsmodel ✔️ TensorFlow, Keras, PyTorch, PyTorch Lightning ✔️ OpenCV, Scikit-Image, Pillow, Tesseract ✔️ DNN, CNN, RNN/LSTM, GAN ✔️ Hugging Face Transformers, ✔️ FastAPI, Flask, Streamlit I believe clear communication is key to success, and I prioritise understanding my clients' needs and vision. I'm excited to apply my skills to new challenges and am confident in making valuable contributions to any team. Thank you for considering my profile, and I look forward to the opportunity to work with you soon.