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gwalior, india
$20 USD / time
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Tilmeldt juni 18, 2022
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Rohan D.

@rohandhupar18

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gwalior, india
$20 USD / time
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Data Scientist / Quantitate Analyst / Trader

I am a machine-learning practitioner with 5+ years of experience in Data mining, Machine Learning, Deep learning, Statistical Modelling, Computer Vision and Natural Language Processing. I have worked across various domains such as Banking, Insurance, Forex, Stocks/Cryptocurrency, Healthcare, Telecom and Business Development within last 5 years. I am a specialised Data Scientist and Machine Learning/Deep Learning Practitioner with published researches in IEEE and spring board Your project and satisfaction is my commitment. Highlights: ▮ High-performing Data Science and Machine Learning professional with extensive experience in BI/ Data-Science/Machine Learning Deep Learning life cycle management from conception to completion. ▮ Having deep understanding of algorithms and data structure i.e. all facets of supervised and unsupervised learning and data munging techniques to meet the analytics and AI needs. ▮ Hands on with web scraping, database management, modelling, integrating disparate systems for data analysis or Machine Learning / Deep Learning/ AI applications. ▮ Deep Learning and Computer Vision, Big Data based high-performance based solutions and services. - Highly proficient in Python and R. - Experienced in building end-to-end pipelines for data manipulation, modelling, model deployment and optimisations. - Knowledge of variety of machine-learning algorithms: - Regression (Linear, Logistic Regression, Multiple, GLM) - Statistical Modelling (Cluster Analysis, Decision Trees, Regression) - Classification (Naive Bayes, Support Vector Machine,Decision trees, Ensembles - Random forests, Gradient Boosting) - K Means/ hierarchical/DBSCAN/Affinity/Agglomerative/Spectral) DeepNets/Theano/Keras/Tensorflow/CNN/LSTM/ImageProcessing/StockPrediction/Predictive Modelling/Pytorch/Theano. - Database Management System- MySQL, MongoDB Published Researches : Hyperspectral Image Classification using SWT & CNN in IEEE . Hyperspectral Image Feature Classification using GWO-SWT-CNN in Springboard (in few months from now) Skills : Python , DSA , PostgreSQL,Machine Learning , Deep Learning ,Image Processing & Classification , New modern age Transformers custom model development (Bert / T5) for various use case from large chunk extraction to large entity classification , AWS model as micro-service api , Docker, Apache Spark , Cloud Data Warehousing using AWS redshift , Data Engineering using Apache Airflow . Guest Speaker : NIT Jalandhar 2019 , GITAM UNI Vizag (2019) , Kaggle Days NCR (2020) Languages : English , German (A1) Passionate about "keeping life in balance"

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Erfaring

Senior Software Engineer - Analytics

Airtel Digital
okt. 2021 - Nuværende
1. Scalable Computer vision application development for E-KYC automation / UPC transfer 2. Chat-bot support as Hinglish language Sales Distributor Support. 3. Live face detection Model on 2D still images for detecting fraud during KYC done by retailers

Data Scientist

Exela Technologies Pvt Ltd
nov. 2020 - okt. 2021 (11 måneder, 2 dage)
Working as Research Scientist on Legal Contract Understanding and Large size chunk & entity extraction using both use of modern and classic tools of NLP pretrained models of BERT and using transfer learning Deployment tools handling : web services using flask , fastapi , tensorflow serving , docker

Data Scientist

OYO
nov. 2019 - okt. 2020 (11 måneder, 2 dage)
Analysing pricing & revenue for OYO UK ,Anamoly Detection models for web scrapers

Uddannelse

B.E (CSE)

Rajiv Gandhi Prodyogiki Vishwavidyalaya, India 2015 - 2019
(4 år)

Publikationer

Hyperspectral Image classification using SWT and CNN

IEEE
I was approached by GITAM university professors to build their research on codes problem was challenging because I never worked with Stationary wavelet Transformation over images and how to assign that input channel to PCA which was needed to compress channel of images and pass it to CNN model so in this whole project i got idea that how we can use transformation over images to convert them into their wavelet signature

A Novel Grey Wolf Optimisation based CNN Classifier for Hyperspectral Image classification

Springer
The proposed GWO-based-CNN-HI model exhibits better classification accuracy (99.95%, 99.96%, and 99.99%) on three benchmark HI datasets in comparison to traditional models. Thus the novel GWO-based-CNN-HI model finds its suitability in applications of land cover classification, crop stage detection, specially in remote applications with limited computing power.

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