Data Scientist with over 2 years of experience in Python and R programming, specializing in statistical modeling and predictive analytics. Proven track record in developing data pipelines and algorithms, facilitating data-driven decision-making for enhanced operational performance. Committed to leveraging cloud-based analytics to deliver actionable insights that drive business success.
1. Building an interactive chatbot using Python, RapidAPI, OpenAI’s language model API, and a web interface to handle data science queries on machine learning, statistics, and data engineering.
2. With an intuitive web interface, this will provide real-time, accessible insights for broader user engagement.
3. This project emphasizes NLP, API integration, and web deployment.
Vehicles tend to run out of fuel by running for a longer distance during a fixed span of time until it gets refilled again. Hence we try to measure the amt of fuel left in tanker and lastly we detect the points of Fuel Filled and Theft in course of time.
Used Technical tools : Python, GoogleColab
Non Technical Tools: Extensive Statistical concepts, ML algorithms, Visualization for Data exploration, Time Series Analysis
Created a real-time hand sign detection model using cv2, mediapipe, and RandomForestClassifier, tested via live camera.
Analyzed transaction behaviors to identify spending patterns and classify them as either genuine or fraudulent.