Computer Vision Engineering Graduate Intern Resume
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Chicago Il, UsA
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.