Shivam P. Profile

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4,8

(171 commentaires)

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$20 USD / heure

dehradun,

india

$20 USD / heure

Il est actuellement 3:40 PM ici

Rejoint le mai 21, 2016

70 Recommandations

Shivam P.

@shivampanchal

4,8

(171 commentaires)

7,8

77%

$20 USD / heure

dehradun,

india

$20 USD / heure

99 %

Travaux complétés

86 %

Suivant le budget

93 %

Dans les temps

11 %

Taux de réembauche

Data Scientist | Engineer | Author | Top 1%

Hello, I am Shivam. Welcome to my profile. Are you seeking a Data Science and Machine Learning professional who can deliver exceptional results? Look no further! With 5+ years of hands-on experience across multiple industries, I have honed my skills in Data Mining, Machine Learning, Deep Learning, Statistical Modelling, Computer Vision, and Natural Language Processing. ✅ Experienced Data Scientist & Machine Learning Expert ✅ Driving Results in Diverse Domains ✅ Committed to Your Success ✨ Why Choose Me? ✨ ✅ Proven Track Record: Successfully served 180+ satisfied clients, earning their trust and delivering outstanding outcomes. ✅ End-to-End Expertise: From ideation to implementation, I excel in managing the complete life cycle of Data Science and Machine Learning projects. ✅ Robust Skill Set: Proficient in Python and R, I possess strong capabilities in web scraping, database management, and developing integrated systems for advanced analytics and AI applications. ✅ Cutting-Edge Solutions: Skilled in Deep Learning, Computer Vision, and Big Data analytics, I can develop high-performance solutions tailored to your unique requirements. ✅ Full-Stack Proficiency: I build seamless pipelines for data manipulation, modeling, deployment, and optimization, ensuring smooth project execution. ✅ Data Visualization Mastery: Expertise in various data visualization tools to create compelling and impactful visual representations of insights. ✅ Algorithmic Prowess: Extensive knowledge of a wide range of machine learning algorithms, including regression, statistical modeling, classification, and clustering. ✅ Deep Neural Networks: Proficient in frameworks such as TensorFlow, Keras, and PyTorch, with hands-on experience in image processing, stock prediction, and predictive modeling. ✅ Business Intelligence Skills: Well-versed in tools like Tableau, QlikView, and QlikSense, enabling effective data-driven decision-making. ✅ Database Management Expertise: Experienced in handling MySQL and MongoDB for efficient data storage and retrieval. Passionate about driving business growth and leveraging data to generate valuable insights, I am committed to delivering exceptional results for your organization. Let's collaborate and unlock the true potential of your data! Contact me today to discuss your project requirements.

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Portfolio

Node.js + face-recognition.js : Simple and Robust Face Recognition using Deep Learning. This npm package uses dlib under the hood and exposes Node.js bindings to face recognition tools from dlib, as I found them to produce highly accurate results. The dlib library uses deep learning methods and comes with some pretrained models, which have been shown to provide an astonishing prediction accuracy of 99.38% running the LFW face recognition benchmark.

Face Detection

Recommendation engines are nothing but an automated form of a “shop counter guy”. You ask him for a product. Not only he shows that product, but also the related ones which you could buy. They are well trained in cross selling and up selling. So, does our recommendation engines.

The ability of these engines to recommend personalized content, based on past behavior is incredible. It brings customer delight and gives them a reason to keep returning to the website.

We built it using Spark, mahout, Solr.

Building a Recommendation Model

Network Analysis

While we are still amazed with the basic applications of machine learning and artificial
intelligence, machine learning is continuously evolving at a high pace and bringing us the more
and more advanced algorithms & sub-fields such as Deep Learning or Neural Networks. Deep
learning implements highly advanced algorithms which are known as Neural Networks that are
inspired by the way our biological nervous system works, such as the brain, to process
information. It enables computers to identify every single data of what it represents and learn
patterns. In this project, the main objective is to build a Sentiment classifier model which takes
video as the input file and generate the sentiment of the video into positive sentiment or negative
sentiment based on GloVe algorithm and using the tensor flow as the machine learning
environment and also implementing other required libraries such as Speech Recognition, Movie
Python, Google-API-Python-Client.
1. Introduction
Deep learning or Neur

Sentiment Analysis

Object Detection using YOLO

Tableau Dashboard

Face Detection

Building a Recommendation Model

Network Analysis

Sentiment Analysis

Object Detection using YOLO

Tableau Dashboard

Commentaires

Modifications enregistrées

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5,0

$750,00 AUD

Project for Shivam P.

Great work and professionalism

+1 de plus

Ashwani M.

@smartechie2016

•

il y a 2 mois

5,0

$250,00 USD

Centroid Prediction Machine Learning

He is a skilled developer who respects the deadline and the budget.

Python

Machine Learning (ML)

Tensorflow

Computer Vision

Ahmad H.

@ahammoud

•

il y a 2 mois

5,0

£750,00 GBP

Bayesian Modelling on Titanic Dataset

The work was great. Thank you! Would hire him again.

+1 de plus

Roshni K.

@rileybee1

•

il y a 4 mois

5,0

$250,00 USD

Project for Shivam P.

Very professional. Did the job in a really great way with comments, etc.

+1 de plus

Vincent I.

@isozv

•

il y a 6 mois

4,0

£198,00 GBP

Python module course -- 2

Took on feedback and made amendments to ensure work was done in the right direction

C Programming

Python

Software Architecture

Kunal R.

@kraijada

•

il y a 10 mois

Expérience

GLS

sept. 2018 - nov. 2019 (1 an, 2 mois)

I was engaged in the following technologies as part of my responsibilities. Deep Learning based Forecasting Models, Churn Prediction Chat bot with Dialogue Flow and Natural Language Processing Integration of a Data Visualization and Reporting with Process Work Flow.

S1BIT

juil. 2017 - juil. 2019 (2 ans)

Stock Analysis and Time Series Analysis Building Hybrid Machine Learning and Deep Learning based forecasting model

MathLogic

juin 2017 - mars 2018 (9 mois, 2 jours)

Data Insights and Reporting over multiple sources of data using Postgre SQL and Report Server. Daily Scripts / APIs / Services for reporting mails and alerts for all Google ODK for AUSFB - Insurance Data. Data Visualizations for Data Analytics across all verticals using Tableau Order flow management to reduce process flow time between various components of Data pipeline. Learning Module Development for Deep Learning (Keras+Tensorflow)