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INDIAのフラグ
dehradun, india
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登録日: 5月 21, 2016
70 推薦

Shivam P.

@shivampanchal

monthly-level-three.svg
verified-v2.svg
preferred-freelancer-v2.svg 4.8 (171 レビュー)
7.8
7.8
77%
77%
$20 USD / 時間
INDIAのフラグ
dehradun, india
$20 USD / 時間
99%
完了したプロジェクト
86%
予算内
93%
期限内
11%
再採用率

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.
Freelancer R Programmers India
全て見る R Programmers 、 India

仕事についてShivam P.に連絡する

ログインしてチャットで詳細を相談しましょう、

ポートフォリオ

5393251
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
3412935
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
3412958
Network Analysis using Python. Network analysis (NA) is a set of integrated techniques to depict relations among actors and to analyze the social structures that emerge from the recurrence of these relations. The basic assumption is that better explanations of social phenomena are yielded by analysis of the relations among entities.
Network Analysis
3412950
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
3255398
Object Detection using YOLO and MS COCO Data using Keras and tensorflow. YOLOv3. Object Detection in real time. Object detection is a computer vision technique that allows us to identify and locate objects in an image or video. With this kind of identification and localization, object detection can be used to count objects in a scene and determine and track their precise locations, all while accurately labeling them.
Object Detection using YOLO
3412936
Sales Analysis using R and Tableau | Tableau Dashboard | Analysis Sales analysis is mining your data to evaluate the performance of your sales team against its goals. It provides insights about the top performing and under performing products/services, the problems in selling and market opportunities, sales forecasting, and sales activities that generate revenue.
Tableau Dashboard
5393251
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
3412935
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
3412958
Network Analysis using Python. Network analysis (NA) is a set of integrated techniques to depict relations among actors and to analyze the social structures that emerge from the recurrence of these relations. The basic assumption is that better explanations of social phenomena are yielded by analysis of the relations among entities.
Network Analysis
3412950
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
3255398
Object Detection using YOLO and MS COCO Data using Keras and tensorflow. YOLOv3. Object Detection in real time. Object detection is a computer vision technique that allows us to identify and locate objects in an image or video. With this kind of identification and localization, object detection can be used to count objects in a scene and determine and track their precise locations, all while accurately labeling them.
Object Detection using YOLO
3412936
Sales Analysis using R and Tableau | Tableau Dashboard | Analysis Sales analysis is mining your data to evaluate the performance of your sales team against its goals. It provides insights about the top performing and under performing products/services, the problems in selling and market opportunities, sales forecasting, and sales activities that generate revenue.
Tableau Dashboard

レビュー

変更を保存しました
1 - 5 / 50+ レビュー表示中
 レビューを絞り込む：
5.0
$750.00 AUD
Project for Shivam P.
Great work and professionalism
Python
Data Processing
Statistics
Data Mining
+1 もっと
ユーザーアバター
のフラグ Ashwani M.
@smartechie2016
•
2か月前
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
ユーザーアバター
のフラグ Ahmad H.
@ahammoud
•
2か月前
5.0
£750.00 GBP
Bayesian Modelling on Titanic Dataset
The work was great. Thank you! Would hire him again.
Python
Data Processing
Statistics
Data Mining
+1 もっと
R
のフラグ Roshni K.
@rileybee1
•
4か月前
5.0
$250.00 USD
Project for Shivam P.
Very professional. Did the job in a really great way with comments, etc.
Python
Data Processing
Statistics
Data Mining
+1 もっと
ユーザーアバター
のフラグ Vincent I.
@isozv
•
6か月前
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
K
のフラグ Kunal R.
@kraijada
•
10か月前

経験

Data Scientist

GLS
9月 2018 - 11月 2019 (1 , 2 )
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.

Data Scientist

S1BIT
7月 2017 - 7月 2019 (2 )
Stock Analysis and Time Series Analysis Building Hybrid Machine Learning and Deep Learning based forecasting model

Data Analyst

MathLogic
6月 2017 - 3月 2018 (9 , 2 )
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)

資格

B.Tech

HBTI, Kanpur
2013
Computer Science and Machine Learning

仕事についてShivam P.に連絡する

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Facebook接続済み

認定

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 92%
us_eng_1.png US English 1 83%

トップスキル

R Programming Language 116
Statistics 115
Data Mining 112
Python 88
Machine Learning (ML) 58

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