sanjay joshi

I am a Data Scientist and Machine Learning with hands-on experience in building end-to-end solutions across forecasting, computer vision, classification, fraud detection, and automated ML systems. I specialize in transforming raw data into actionable insights and scalable models using Python, SQL, machine learning, and deep learning frameworks. My journey across multiple real-world projects—from website traffic forecasting and fraud detection to Bitcoin price prediction and power consumption modeling—has strengthened my ability to understand complex datasets, design efficient pipelines, and deliver measurable business impact. I enjoy solving analytical problems using clean code, statistical rigor, and innovative model architectures. I have experience working with classical ML models (Random Forests, Gradient Boosting, Logistic Regression, ARIMA/SARIMA, Prophet) as well as deep learning techniques (CNNs, YOLOv5, Faster R-CNN, LSTMs). I am also skilled in EDA, feature engineering, hyperparameter tuning, model evaluation (RMSE, MAE, MAPE, F1-score, ROC-AUC), and visualization using Power BI and Tableau. My professional background includes research work at First Quadrant Labs as part of my Master Diploma in Data Science & AI at the Boston Institute of Analytics, where I developed forecasting systems, automated preprocessing pipelines, dashboards, and ML-driven insights. I have also worked in finance operations at NBCC Bhawan, New Delhi, strengthening my documentation, reporting, and business communication skills. As a hearing-impaired professional, I rely on strong written communication, attention to detail, and structured problem-solving—qualities that have consistently enhanced my performance in technical and analytical environments. Areas of Expertise: • Machine Learning & Deep Learning • Computer Vision (Object Detection, Image Processing) • Time-Series Forecasting • Data Preprocessing & Feature Engineering • Python, SQL, NumPy, Pandas • Power BI & Tableau Dashboards • Model Deployment & Automation • Statistical Modeling & EDA Key Projects: • Website Traffic Forecasting (Time series + ML hybrid models) • Fraud Detection in Mobile Transactions • Bitcoin Price Prediction System • Power Consumption Prediction (Energy domain) • AlgoAnalyst – End-to-End AutoML System • Object Detection using YOLOv5 & Faster R-CNN • Real-Time Event Detection Pipeline