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Arvind Kumar

Arvind Kumar

Data Scientist

Lovely Professional University Jalandhar | Jalandhar

Technologies

My Portfolio Highlights

My New Track

R Programmer

My New Course

Introduction to Python

My New Track

R Programmer

Quantitative magician, conjuring valuable knowledge from data spells.

My Work

Take a look at my latest work.

course

Introduction to R

course

Introduction to Python

course

Intermediate Python

course

Introduction to R

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to R
Intermediate Python
Introduction to Deep Learning in Python

My Work Experience

Where I've interned and worked during my career.

Meraki Training Solutions | Apr 2023 - Jul 2023

Professional Freelance Data Scientist

Working on Various Deep Learning Algorithms in Healthcare Department of Medongo and Axiphyl. Natural Language Processing - Audio Data Analysis. Audio Data Preprocessing, Changing Sampling rate using python. Speech To Text - Working on Transformers Bert models from hugging face pretrained models. done with the Marathi Speech to text using transformers models ,Hindi speech to text using transformers models. English speech to text using Facebook transformers models. multilingual speech to text using Facebook meta AI wav2vec2 models and newly created models like mms (Massively Multilingual Speech). deployed all these models using FastApi. Video Data Analysis - Working on various projects like -Face Recognitions, Face Matching from the database , Emotion Recognitions , Gender Classifications, Age Classifications using Tensorflow and Pytorch and converting them tflite and mobile torch for using in mobile flutter applications.
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Afcodex Pvt Ltd | Aug 2020 - Present

Professional Freelance Data Scientist

working on various projects related to the machine learning, deep learning, computer vision, natural language processing some of the projects and dataset I'm explaining below Customer Churn Prediction: Dataset: Customer churn dataset from a telecom company or any subscription- based service. Description: Predict whether a customer is likely to churn (cancel their subscription) based on their usage patterns and demographics. Algorithms: Logistic regression, decision trees, or gradient boosting classifiers are commonly used for this binary classification task. Credit Card Fraud Detection: Dataset: Credit card transaction data, preferably with labeled fraud instances. Description: Build a model to detect fraudulent transactions based on features like transaction amount, location, time, etc. Algorithms: Anomaly detection methods like isolation forests or autoencoders, as well as traditional classifiers like logistic regression or random forests, can be used for this task.

Dew Solutions Pvt Ltd | Jul 2019 - Aug 2020

Data Science Engineer

N/A

Azure Power | Apr 2019 - Jul 2019

Software Engineer Intern

N/A

edWisor.com | Dec 2018 - Apr 2019

Data Scientist Professional Course & curriculum

Have undergone training in data science which includes data exploration, data cleaning and building predictive models using machine learning. Training also included projects on real-life data sets which were reviewed by Data Science experts. All the projects can be found at the link below: https://github.com/stdntlfe

My Education

Take a look at my formal education

Bachelor of Technology (BTech), Computer ScienceLovely Professional University | 2019

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