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Ishuman Agarwal
Data Scientist
TECHNICAL SKILLS
Statistical Analysis
Data Mining Data Warehousing
Data Visualization Modeling Deployment Image Processing
Python Pandas Tableau MySQL
NumPy SciKit-Learn
Seaborn AWS
Tensorflow Keras
OpenCV Flask
Aspiring Data scientist with over Two years of experience in projects. Skilled and work-ready expertise in python
programming, statistics, machine learning algorithms, analytics, extracting, cleansing, data visualization, and
rapid model building, including Web Development Domain expertise of built 10+ production-grade websites.
SUMMARY
Data Science, Machine Learning, Deep Learning, Computer Vision, Automation
AREA OF INTEREST
WORK PROJECTS
Developed computer vision-based vehicles & potholes detection from various angles from a drone.
Used CSPDarknet53, YOLOv3, YoloV4, and Maskrnn architectures for object detection and optimization to
improve the accuracy and speed of the model by 43.5%.
Used Techniques like Image loading and preprocessing, box postprocessing, and Handled non-square images.
Used YOLOv4 loss, CIoU loss, Cross mini-Batch Normalization, Self-adversarial Training, and Mosaic Data
Augmentation DropBlock, for model training.
Vehicle & Pothole Detection: Altbird Robotics PLC.
Built and styled ten plus new mobile-friendly WordPress websites and Use performance optimization
techniques, including optimizing images, minifying CSS and JS files, and using a content delivery network
(CDN).
Used SEO techniques to improve the ranking and create high-quality, unique content.
Used analytics tools to track the website's performance and identify improvement areas by monitoring traffic,
conversion rates, and user engagement, maximizing profitability by 40%.
Web Development: Bytegrow Technologies
Built a Nural Network replicating the human steering behavior while driving and then driving autonomously.
Created a classifier to recognize traffic signs from images, which is essential for self-driving cars to operate on the
road.
Developed an Image Manipulation Toolkit with Computer Vision and Tkinter. And Applied Count Vectorizer,
TfidfVectorizer, Multinomial Naive Bayes, and Data Pipeline techniques.
Created A program that can detect a hand and Count the number of fingers in real time without building a complex
Convolutional Neural Network.
Web-scraped and created a dataset(10000X60) of all mobile devices with specifications listed on Gsmarena and
open-sourced on Kaggle using web-scraping techniques like Selenium and Beautiful Soup.
Other Projects
Drone Technologist (03/2020-09/2021)
Web Developer (02/2018-05/2019)
Seth G. L. Bihani SD (PG) college (13–2016)
Bachelor in Computer Application (BCA)
EDUCATION
CERTIFICATES
LearnCodeOnline.in (06/2019- 10/2019)
Python with AI, ML & Data Science
Udemy 10/2020-03/2021
Computer Vision and Deep Learning
mann.agrawal17@gmail.com
+91 8739936292
Jaipur, India
linkedin.com/in/ishuman17
github.com/ishumann
ishuman.me
kaggle.com/imprime

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Resume

  • 1. Ishuman Agarwal Data Scientist TECHNICAL SKILLS Statistical Analysis Data Mining Data Warehousing Data Visualization Modeling Deployment Image Processing Python Pandas Tableau MySQL NumPy SciKit-Learn Seaborn AWS Tensorflow Keras OpenCV Flask Aspiring Data scientist with over Two years of experience in projects. Skilled and work-ready expertise in python programming, statistics, machine learning algorithms, analytics, extracting, cleansing, data visualization, and rapid model building, including Web Development Domain expertise of built 10+ production-grade websites. SUMMARY Data Science, Machine Learning, Deep Learning, Computer Vision, Automation AREA OF INTEREST WORK PROJECTS Developed computer vision-based vehicles & potholes detection from various angles from a drone. Used CSPDarknet53, YOLOv3, YoloV4, and Maskrnn architectures for object detection and optimization to improve the accuracy and speed of the model by 43.5%. Used Techniques like Image loading and preprocessing, box postprocessing, and Handled non-square images. Used YOLOv4 loss, CIoU loss, Cross mini-Batch Normalization, Self-adversarial Training, and Mosaic Data Augmentation DropBlock, for model training. Vehicle & Pothole Detection: Altbird Robotics PLC. Built and styled ten plus new mobile-friendly WordPress websites and Use performance optimization techniques, including optimizing images, minifying CSS and JS files, and using a content delivery network (CDN). Used SEO techniques to improve the ranking and create high-quality, unique content. Used analytics tools to track the website's performance and identify improvement areas by monitoring traffic, conversion rates, and user engagement, maximizing profitability by 40%. Web Development: Bytegrow Technologies Built a Nural Network replicating the human steering behavior while driving and then driving autonomously. Created a classifier to recognize traffic signs from images, which is essential for self-driving cars to operate on the road. Developed an Image Manipulation Toolkit with Computer Vision and Tkinter. And Applied Count Vectorizer, TfidfVectorizer, Multinomial Naive Bayes, and Data Pipeline techniques. Created A program that can detect a hand and Count the number of fingers in real time without building a complex Convolutional Neural Network. Web-scraped and created a dataset(10000X60) of all mobile devices with specifications listed on Gsmarena and open-sourced on Kaggle using web-scraping techniques like Selenium and Beautiful Soup. Other Projects Drone Technologist (03/2020-09/2021) Web Developer (02/2018-05/2019) Seth G. L. Bihani SD (PG) college (13–2016) Bachelor in Computer Application (BCA) EDUCATION CERTIFICATES LearnCodeOnline.in (06/2019- 10/2019) Python with AI, ML & Data Science Udemy 10/2020-03/2021 Computer Vision and Deep Learning mann.agrawal17@gmail.com +91 8739936292 Jaipur, India linkedin.com/in/ishuman17 github.com/ishumann ishuman.me kaggle.com/imprime