# Apurva Godghase > Computer Vision Industrial Research & Development Location: San Francisco Bay Area, United States Profile: https://flows.cv/apurvagodghase My primary interest lies in leveraging Deep learning/Machine learning/ Data Science to solve the business problem. Skills: Languages: Python/Pyspark, Scala (basics), SQL, R(basics) Computer Vision/Video Analytics: YOLO, SSD, CNN, Vision Transformers, Transfer learning, Object Tracking Deep Learning: Neural Networks- LSTM, Recurrent Neural Network(RNN), Convolutional Neural Network NLP: Named Entity Recognition(spaCy), word2vec,CBOW, Topic modeling(LDA), PoS tagging Machine Learning: Linear and logistic Regression, Decision Tree,SVM, Time Series Analysis, Principal Component Analysis , Bayesian Statistics Big Data: Hadoop-HDFS, Pig, Hive, MapReduce, YARN, Spark Visualization Tools: Tableau, QlikView, Design Studio, Gephi, Lumira, SVG based web visualization Databases: Netezza, Presto, MySQL O.S.: Linux, Windows ## Work Experience ### Lead Computer Vision Engineer @ Brambles Jan 2025 – Present ### Senior Computer Vision Engineer @ Brambles Jan 2022 – Jan 2025 Computer Vision ### Advisory Council Member @ Harvard Business Review Jan 2024 – Present | San Francisco Bay Area A member of the Harvard Business Review Advisory Council, research community of business professionals. ### Research Data Scientist III (Computer Vision R&D) @ Spectrum Jan 2021 – Jan 2022 - R&D innovation and proof of concept - Custom Object detection & localization : YOLOV3,V4,V5, SSD, Non Maxima Suppression - Internet of Things: Sensors, camera - Real time video processing - Image classification: Convolutional Neural Network - Image Compression : Laplacian pyramid, Encoder Decoder , Generative Adversarial Networks (GANs ) - Keras, Tensorflow, pytorch ### Data Scientist @ Lands'​ End Jan 2018 – Jan 2021 | Madison, Wisconsin Area • MLOps R&D to production • Work with Amazon web services like Sagemaker, Lambda, Glue, Athena ,S3 • Big data -Pyspark, SQL • Time Series Modeling • Deep Learning - Neural Networks (RNNs) • Product similarity • Statistical modeling ### Digital Marketing Analyst Intern @ CITT Services Jan 2018 – Jan 2018 | Dallas/Fort Worth Area • Understand B.I. & web analytics needs • Predictive modeling & RFM analysis for operational efficiency • SEO/paid search campaign ad spends •Identify the causal impact and channel attribution •Data collection, analysis, and dashboard insights • Keyword research, content optimization •Competitive analysis •Link building strategy, meta tag creation • Implement bid optimization strategy to improve ROI ### Research Assistant @ The University of Texas at Dallas Jan 2017 – Jan 2017 | Dallas/Fort Worth Area • Big Data analysis • Data aggregation • Feature Engineering • Exploratory analysis • Anomaly detection and treatment ### Content Data Analyst Intern @ Legrand, North America Jan 2017 – Jan 2017 | Dayton, Ohio • Developed self-service database analysis tool using Python for automatic data collection, analysis, and insight recommendation • Identified areas of the concern by building dashboard using pandas, Numpy • Keyword analysis to improve the search ranking of the products on the partner channels • Researched key metrics for growing the channel marketing revenue • Designed the Business Process, architectural design, database and File Specifications to understand the workflow and the interaction between the internal and external entities ### Associate System Engineer @ IBM Jan 2015 – Jan 2016 | Kolkata Area, India • Systems reporting for the internal company database platform • Developed clean up reporting to maintain database integrity • Acted as liaison between manager and 10 trainees for attendance tracking and daily reports • Programmed web-based visualizations in portlets assigned on a weekly basis • Managed multiple deadlines and participated in weekly team meetings to discuss the progress • System design internal and customer-facing documents containing use case designs, sequence diagrams, the interface among modules by understanding the client requirements ### Product Design Intern @ Dispotronics Jan 2014 – Jan 2015 | Pune Area, India Developed a device for patients with ALS to communicate using PIR sensor ## Education ### Master of Science (M.S.) in Information Technology Management Naveen Jindal School of Management, UT Dallas ### Bachelor of Engineering (B.E.) in Electronics and Telecommunication Savitribai Phule Pune University ## Contact & Social - LinkedIn: https://linkedin.com/in/apurva-godghase-aab7b259 --- Source: https://flows.cv/apurvagodghase JSON Resume: https://flows.cv/apurvagodghase/resume.json Last updated: 2026-04-13