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SAMYAK JAIN

@samyak_jain

Data Science Intern at Elocity Technologies

Arlington, TX

https://github.com/zln20/Vehicle-price-Prediction

Elocity TechnologiesUniversity of Texas - Arlington

Samyak Jain is a Computer Science professional with a Master's degree from the University of Texas at Arlington. He has completed multiple internships in data science, computer vision, and machine learning at firms such as Elocity Technologies and KoiReader Technologies. He possesses a strong technical background in Python, deep learning, and data analytics.

Experience

Data Science Intern

Elocity Technologies

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Appointed as sole Data Science intern and worked with the Back-End team. Created data visualization graphics, translating complex data sets into comprehensive visual representations for the firm's user application. Identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques.

Computer Vision Intern

KoiReader Technologies

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Assigned as Computer Vision intern and worked with the team to complete different projects related to image processing and image detection. Continuously communicated with clients to learn about their requirements for the project and provided information at each step. Additionally assisted team with data annotation of complex images and videos, which resulted in 8% increase in model accuracy.

Teacher

Vigyantram

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Taught 4 batches of students aspiring to become data scientist and machine learning engineer. Worked cooperatively with other teachers, administrators, and parents to help students reach learning objectives.

Deep Learning Intern

Grroom

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Delegated to image processing and annotating team where we first annotated the images and then trained the model using YOLO. Helped the team achieve a 5% increase in accuracy for their predetermined YOLO model by experimenting with various image processing techniques and extremely complex deep learning models.

Machine Learning Intern

Iha Consulting Services

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Designated to deep learning-oriented agriculture project where our team had to predict what medicine or pesticide will be used to what type of plant diseases just by detecting an image. Transformed raw data to conform to assumptions of machine learning algorithm. Gathered pertinent data and used a number of image processing methods to enhance and reach an 88% accuracy rate.

Education

University of Texas - Arlington

Master of Science

Computer Science

Dayananda Sagar College of Engineering

Bachelor of Technology

Computer Science

Skills

C
C++
Java
Python
Kotlin
MatLab
SQL
Data Structures and Algorithms
MatPlotLib
Seaborn
Tableau
PowerBI
Google Analytics
Excel
MySQL
PostgreSQL
PgAdmin4
Scikit learn
Pandas
Numpy
Tensorflow
Keras
Flask
Django
StreamLit
OpenCV
Scikit Image
PyTorch
Pillow
Hugging Face
NLTK
Spacy
TextBlob