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$12 USD/uro
Zastava INDIA
jaipur, india
$12 USD/uro
Trenutno je 9:07 dop. tukaj
Datum pridružitve april 12, 2019
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Vineet S.

@vinitvssingh5

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$12 USD/uro
Zastava INDIA
jaipur, india
$12 USD/uro
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Stopnja ponovnega najema

Engineer | Data Science | ML | Problem Solver

I am a passionate 22-year-old engineering grad (CSE) @ The LNMIIT, Jaipur, who wants a career in the field of Data Science & ML with Python and its applications. Working on projects solving real life problems fascinates me and will help me to enhance my knowledge and experience both. I have over 3 years of experience in Developing Engineering, ML & DL, NLP, AI projects, and Data Sciences. Short list of my skills, 1. Machine Learning - SVM, ANN, RF, CNN, RNN, DNN - ML & DL models, Data Visualisation, NLP, Feature Engineering, Tensorflow - Probability & Statistics 2. Computer vision - Face detection & recognition, object detection & tracking, Image processing - deep mathematics knowledge - matlab, Opencv 3. Database - MySQL 4. Programming Language - Python | C | C++ 5. Software Packages - Pandas | NumPy | SciPy | Matplotlib | Sci-kit Learn | Seaborn | XGBoost | Keras feel free to contact me for any further information!
Freelancer Machine Learning Experts India
Glej vse Machine Learning Experts v India

Stopite v stik s/z Vineet S. glede vašega dela

Prijavite se, da se o podrobnostih pogovorite v klepetu.

Portfelj

4931166
Image Segmentation with Deep learning
4931162
IoT - Home Surveillance & Motion Detection Device
4931152
Build a churn prediction model, using jupyter notebook. Data Set (freely downloadable) from :- https://www.kaggle.com/taneresme/churn-prediction/data This is the dataset used in the section "ANN (Artificial Neural Networks)" of the Udemy course from Kirill Eremenko (Data Scientist & Forex Systems Expert) and Hadelin de Ponteves (Data Scientist), called Deep Learning A-Z™: Hands-On Artificial Neural Networks. Aim to for this study: 1. Identifying & visualizing the factors which contribute to customer churn. 2. Build a prediction model. LINK:- https://github.com/SuitUp/Churn-Prediction-Model
Bank Churn Prediction Model
4911461
Stock Market Data Manipulation & Visualisation
4911456
In this article, I discuss Factorization Machines(FMs) and Field-Aware Factorization Machines(FFMs) which allows us to take advantage of factorization in a regression/classification problem.
Explaining the FFMs for for CTR-Prediction
4931166
Image Segmentation with Deep learning
4931162
IoT - Home Surveillance & Motion Detection Device
4931152
Build a churn prediction model, using jupyter notebook. Data Set (freely downloadable) from :- https://www.kaggle.com/taneresme/churn-prediction/data This is the dataset used in the section "ANN (Artificial Neural Networks)" of the Udemy course from Kirill Eremenko (Data Scientist & Forex Systems Expert) and Hadelin de Ponteves (Data Scientist), called Deep Learning A-Z™: Hands-On Artificial Neural Networks. Aim to for this study: 1. Identifying & visualizing the factors which contribute to customer churn. 2. Build a prediction model. LINK:- https://github.com/SuitUp/Churn-Prediction-Model
Bank Churn Prediction Model
4911461
Stock Market Data Manipulation & Visualisation
4911456
In this article, I discuss Factorization Machines(FMs) and Field-Aware Factorization Machines(FFMs) which allows us to take advantage of factorization in a regression/classification problem.
Explaining the FFMs for for CTR-Prediction

Ocene

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Izkušnje

Computer Science & Engineering

The LNMIIT, Jaipur
avg. 2015 - Trenutno
A Computer Science & Engineering Student, with exploits in languages like C, C++ and Python. A Data Scientist keen on exploring the applications of Data Science and Machine Learning. A few courses I did that need mention namely, Computer Vision, Data Structures, MySQL, ML and Pattern Recognition, Discrete Mathematics.

Data Scientist

Number Theory Software Pvt. Ltd.
feb. 2019 - apr. 2019 (2 meseca, 1 dan)
Number Theory is a product based company, built on Apache Hadoop, Spark, and related ecosystem components. Product suite comprises of NDP - NT to store and process data, NSP - NT to store and process data in motion and NAI - NT artificial intelligence to generate actionable insights using advanced AI algorithms. Involved in the platform training and testing. Role: feature testing, building ML & DL models, NLP for keywords generation.

Internship under Prof. Niladri Chatterjee IIT Delhi

IIT Delhi
maj 2018 - jul. 2018 (2 meseca, 1 dan)
The research was to understand the role of semantics and worldly knowledge in the NLP problem “Coreference Resolution”, i.e., clustering phrases referring to some common world entity. • Improved the current state-of-the-art model by incorporating semantics knowledge in word embeddings using “Retrofitting”. • The improved model achieved +1.2 F1 evaluation score on OntoNotes 5.0 Dataset.

Kvalifikacije

Student Volunteer

United Nations Volunteers
2018
Successfully secured Online Volunteering (For World Environment Day 2018) internship at United Nations Volunteers. Worked individually as well as a group to highlight the importance of World Environment Day 2018, and worked actively on a campaign designed to promote the "Fight against Plastic Pollution"

Stopite v stik s/z Vineet S. glede vašega dela

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Machine Learning (ML)
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