Computer Vision Engineering Graduate Intern Resume Chicago, IL, USA - Hire IT People

SUMMARY

Data Scientist with over 3 years of experience in solving complex business problems using Machine Learning and Deep Learning techniques. Hands - on experience in data cleansing, data wrangling, and data visualization.

TECHNICAL SKILLS

C lassification, Regression, Clustering, Feature Engineering, Convolutional Neural Networks, Tensorflow, Keras.
Time series modeling, regression analysis, hypothesis testing, confidence intervals, Confidential Excel (VLOOKUP, pivot tables, and formulas), and dimensionality reduction using PCA
Tableau, matplotlib, and seaborn
Python (pandas, numpy, scipy, scikit-learn, nltk), PySpark, Pig, Hive, R, MATLAB, C++, Java, Cassandra, SQL, AWS, and GIT

PROFESSIONAL EXPERIENCE

Confidential, Chicago, IL, USA

Computer Vision Engineering Graduate Intern

Responsibilities:

Created time-series forecasting models to forecast category-level furniture sales using ARIMA models.
Developed a deep learning model with Faster R-CNN architecture using Tensorflow to perform object recognition using convolutional neural networks on furniture scene images.
Leveraged AWS EC2 GPU instances to train the deep learning models on 11 million images.
Created visualizations using Tableau to compare predicted and ground truth annotations.

Confidential, Lemont, IL, USA

Research Aide (Data Scientist)

Responsibilities:

Interacted with data scientists and research scientists to gather requirements and updated Solution Specification Documents (SSD).
Created efficient pre-processing jobs to clean, wrangle, and load the data onto a large GPU Cluster.
Developed a deep learning model with U-Net architecture using Tensorflow to perform segmentation of mouse brain tissue images using Convolutional Neural Networks (CNNs).
Leveraged PySpark to accelerate the training process 7x times by parallelizing the hyper parameter tuning step.
Created visualizations and dashboards using Tableau to explain inferences through a web based GUI.

Confidential, DeKalb, IL, USA

Graduate Research Assistant (Data Analyst)

Responsibilities:

Collaborated with neuroscientists and analyzed time series data (3D+time) for detecting calcium signals inside a biological specimen.
Extensively used Tableau and D3.js to visualize differences among categories.
Implemented a novel dimensionality reduction technique to visualize 4D data in 3-dimensional space.
Analyzed time series data using Pandas and Numpy to track underlying signals.
Funded by National Institute of Health (NIH) for contribution in computational neuroscience.

Confidential, DeKalb, IL, USA

Graduate Teaching Assistant

Responsibilities:

Mentored undergraduate students solving problems in C++.
Assisted professor in course evaluation and aid in the formulation of assignment solutions.

Confidential

Assistant System Engineer (Data Scientist)

Responsibilities:

Interacted with business analysts, data architects, application developers to develop data science pipelines.
Retrieved customer generated network data for Ericsson telecommunication client using SQL.
Extensively performed ETL operations using Pig and Hive to transform data from different source systems.
Worked on queries and stored procedures.
Scripted complex queries involving joins and sub-queries to feed data to the ML models.
Applied clustering techniques to segment customers based on their calling and texting behavior to provide personalized advertisements.
Designed and developed machine learning models to predict the efficiency of promotional campaigns using scikit- learn.