We have a lot of data being collected and stored at every moment.
So, what can be done with this data?
The solution to this question can be found from Data Scientists/Data Analysts.
The data can be used to predict something, categorize stuff, spot something unusual, show how things are connected or even solve daily life problems.
I have worked as an Intern at Embue where temperature sensors' data were used to answer several questions of customers through data visualization.
I have done several projects on statistical and machine learning models for regression, classification, and clustering, time series analysis. I have worked with both CPU and GPU based implementation on several deep learning models like CNN, RNN/LSTM.
I am a strong Engineering professional with a demonstrated history of working in Data Science and Data Analysis. Skilled in Python, PyTorch, Machine Learning, Deep Learning, SQL, Tableau, MongoDB, ETL Pipelines, Hadoop, Data Visualization in R(RShiny, ggplot2), AWS, and GitLab.
As I am a strong Academic performer, I am a Teaching Assitant for 3 consecutive semesters.
As a proactive and enthusiastic learner, it would be great to discuss a possible job opportunity for both full-time roles and contract positions.
Let's connect and see how I can help your data to speak and convey.
Phone: 413-512-3401(call or text)
Email: svalpady@umass.edu