About

Arkopravo Pradhan is a Data Analyst at Tata Steel with a strong desire to become a Data Scientist. He has demonstrated sound business judgment, well-developed planning, analytical, and communication skills, and a consistently high level of performance in a variety of progressively responsible and challenging roles. He is accustomed to a fast-paced environment where deadlines are a priority and can handle multiple jobs simultaneously. Arkopravo is well-versed in data analysis and statistical model development and is proficient in scoping out Data Science problems and building relevant models for the same. He has completed projects with specific focus on topics such as multiple linear regression, multiclass classification, clustering, NLP, CNN, ANN, etc. and has worked on different python libraries like numpy, scikit learn, plotly, matplotlib, pandas, tenserflow, SciPy, keras, NLTK, open cv, etc. He has done three internships, all under the Data Science domain, and has gained 0.86 years of relevant experience in this field. Arkopravo is a graduate in Computer Science from Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT. He has also completed his Higher Secondary Examination and Secondary Examination from Bidhannagar Municipal School. He has worked as a Data Science Intern at Almabetter, where he completed projects on Playstore App Analysis, Bike Share Demand Prediction, Rental Cab Fare Prediction, Health Care Cross Sell Prediction, Netflix TV Shows and Movies Clustering Analysis, and Online Class Face Emotion Recognition System. He has also worked as a Machine Learning Engineer at iNeuron, where he built a weather prediction web app on real-life data from different IOT sensors like Arduino UNO, Raspberry Pi, and learned about how to integrate them. He also worked on creating dashboards, ETL pipelines, and data visualization charts for analyzing the sensor data to find the trend and pattern using Matplotlib and Seaborn to predict weather elements. He successfully created time series models for each weather element with ARIMA and Fb Prophet, but Fb Prophet performed well with an MAPE value of less than 3%. Arkopravo is proficient in Data Science, NLP, Deep Learning, Research Scientist, ML, Keras, CNN, Scikit, Python, Pandas, Data Engineering, Computer Vision, Seaborn, ETL, and Web. He believes in the line "Push yourself, because no one else is going to