Shivam Panchal
I design, build, and deploy production-grade AI & ML systems that solve real business problems across Finance, Pharma & Healthcare, Telecom, Media, Metal, Oil & Energy, and Enterprise Analytics.
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I design, build, and deploy production-grade AI & ML systems that solve real business problems across Finance, Pharma & Healthcare, Telecom, Media, Metal, Oil & Energy, and Enterprise Analytics.
Hire Me Write Email LinkedIn
Senior Data Scientist & Machine Learning Engineer with 5+ years of hands-on experience and 7+ years of AI exposure, delivering production-grade AI solutions to 180+ global clients. I specialize in building scalable, cloud-ready AI systems across finance, healthcare, telecom, and emerging technologies.
Complete ML/DL pipelines using Python, Pandas, NumPy, Scikit-learn, TensorFlow & PyTorch.
CNNs, LSTMs, GRUs, Transformers, and attention models for NLP & Computer Vision.
Web scraping, APIs, SQL, Selenium, Scrapy, and large-scale data processing.
ARIMA, SARIMA, Prophet, StatsForecast, and LSTM-based forecasting models.
Docker, FastAPI, Flask, CI/CD, MLflow, Git, monitoring & optimization.
AWS, GCP, Azure, SQL/NoSQL databases, distributed and cloud-native systems.
Translating business problems into AI-driven solutions across banking, insurance, healthcare, telecom, forex, stocks, and crypto domains.
Designed a real-time ANPR system using OpenCV, deep learning, and OCR pipelines to support smart parking, traffic monitoring, and law enforcement.
Built a YOLO-based video analytics platform to detect red-light violations, speed breaches, and unsafe driving behaviors in real-world traffic feeds.
Developed hybrid ML–DL time-series models using LSTM, ARIMA, and Prophet for stock price prediction, risk analysis, and portfolio decision support.
Implemented transformer-based conversational AI using BERT-style models for customer support, FAQ automation, and intent classification.
Built NLP-driven document processing pipelines for invoice extraction, KYC automation, and enterprise document classification at scale.
Designed CNN-based computer vision models for medical imaging applications, supporting early disease detection and clinical decision-making.
Architected scalable big data pipelines using Hadoop, Hive, Kafka, and PySpark for real-time and batch analytics across large enterprise datasets.
Built production-grade ML deployment pipelines using Docker, FastAPI, MLflow, and CI/CD on AWS/GCP/Azure environments.
Developed predictive ML models to identify churn patterns and customer segmentation for telecom and subscription-based businesses.
Designed executive-level BI dashboards using Tableau, Qlik, Superset, and Looker Studio to enable data-driven strategic decisions.
“You rarely come across standout, talented Data Scientists like Shivam. No matter how difficult the project, he always delivers robust solutions and ensures client satisfaction.”
“Shivam is a hardworking Machine Learning expert with a strong curiosity for problem-solving. He consistently goes the extra mile.”
“Shivam is highly knowledgeable, dependable, and an excellent communicator. His understanding of AI and interdisciplinary applications is impressive.”
“Meticulous, detail-oriented, and highly focused. A great professional to collaborate with on ML and AI projects.”
“Shivam delivered excellent ML work and clearly explained the solution. A pleasure to work with and highly reliable.”
“Extremely knowledgeable and quick to deliver smart, effective solutions. Shivam was a pleasure to work with.”
“One of the best data scientists I’ve worked with—creative, fast-learning, and capable of solving complex ML challenges with ease.”