Muhammad Imran
Mentor
(3 reviews)
US$15.00
For every 15 mins
6
Sessions/Jobs
ABOUT ME
Senior Data Scientist / Data Engineer with 8+ years of experience
Senior Data Scientist / Data Engineer with 8+ years of experience
I have more than 8 years of experience across different industries like Fin-tech, eCommerce, manufacturing, health and telecommunication. I am open to offer my assistance from minor to industrial scale problems.
Tools and Technologies
Scripting languages: Python, R
OOP Languages: Java, C++, C#
Machine Learning libraries: Keras,
TensorFlow, Pytorch, opencv, numpy,
sklearn, pandas, matplotlib, nltk, textblob,
spacy, genism, seaborn, PySpark, Scikit
Distributed Processing framework:
Apache Spark, Apache Spark MLlib,
Hadoop/Map Reduce, CI/CD, ETL Pipeline
Containerization: Docker, Kubernetes
Streaming Framework: Kafka Streams,
Apache Spark Structured Streaming
Cloud/Pipeline: AWS, Colab, Git, Github
NOSQL databases: HBase, Elasticsearch,
ELK stack, MongoDB, Neo4J
SQL databases: Hive, Oracle, SQL, MySql
SAP: BI, BW, BO, ABAP, Fiori, CDS, BW on
HANA, crystal reports, Lumira designer,
WEBI, Information views
Paris (+02:00)
Joined October 2020
EXPERTISE
5 years experience
5 years experience
7 years experience
REVIEWS FROM CLIENTS
(3 reviews)
tawonda echols
October 2020
Excellent Job. Easy to work with. Very knowleagable.
Super responsive. Will be using for all my projects.
EMPLOYMENTS
MACHINE LEARNING ENGINEER
LIG
2020-02-01-2020-08-01
• Implemented end to end data science & machine learning pipelines
• Performed sentiment analysis, clustering & classification tasks
• An...
• Implemented end to end data science & machine learning pipelines
• Performed sentiment analysis, clustering & classification tasks
• Analyzed text data to extract enriched features for machine learning
• Information retrieval, key word extraction, & deep learning modeling
• Random Matrix Analysis for Natural Language Processing (NLP)
Python
NLP
Apache Spark
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Python
NLP
Apache Spark
Apache Hadoop
Apache Airflow
Apache Hive
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DATA SCIENTIST (FULL STACK)
FFC
2016-08-01-2019-09-01
My work focused to leading data science projects leveraging industry data with
Machine learning modeling, Spark and Python technologies.P...
My work focused to leading data science projects leveraging industry data with
Machine learning modeling, Spark and Python technologies.Planning and supervising
team migration activities of Data Science project from traditional architecture to Big
Data Cloud-based architecture. Actively involved in guiding research activities on
Data Science and Big Data (AWS / Spark) applications.
• Design / Implement robust and scale-able data pipelines (ETL) and perform mining
• Implement CI/CD (plan,code,test,deploy,release, monitor and measure) Github
• Developed search engine using NLP and deep learning techniques (Elasticsearch)
• Developed facial recognition solution using deep learning networks (CNN)
• Developed product recommendation System using ML algorithm (AWS, Python)
• Implemented customer segmentation using ML algorithm (Posgresql,Python)
Django
PostgreSQL
Jenkins
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Django
PostgreSQL
Jenkins
Redis
Elasticsearch
HBase
Kibana
Logstash
Apache Kafka
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DATA ANALYST
FFC
2013-01-01-2016-07-01
Responsible for leading data warehousing and data engineering projects leveraging
industry data with SAP Business Intelligence (BI/BO) te...
Responsible for leading data warehousing and data engineering projects leveraging
industry data with SAP Business Intelligence (BI/BO) technologies. Planning and
supervising team migration data from traditional architecture to Big Data
Cloud-based architecture. Actively involved in guiding research activities on SAP BW
on HANA, SDA, SLT landscape transformations.
• Create Data marts using SAP BW on HANA, SDA, SLT and BODS services (ETL)
• Designed, developed and deployed SAP Lumira interactive dashboards
• Performed live reporting on top of SAP S4/HANA embedded analytics CDS views
• Developed custom crystal reports and analysis
Java
Oracle
JavaScript
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Java
Oracle
JavaScript
Asp. net, c#
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PROJECTS
A Random Matrix Analysis for Natural Language Processing
2020
The objective of the project is to study the applicability of the random matrix framework to natural language processing (NLP). We will i...
The objective of the project is to study the applicability of the random matrix framework to natural language processing (NLP). We will in particular investigate whether Word2Vec representations undergo the concentration phenomenon and, if not, whether an updated model, adapted to NLP, can be studied. This will be performed both on a theoretical and a practical (simulation) bases. The subsequent step will then consists in improving classification, inference and regression algorithms standard to the NLP corpus, by exploiting the recently developed random matrix techniques and the new large dimensional insights emerging from these studies.
Python
Database
Machine learning
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Python
Database
Machine learning
Data Science
NLP
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Secure Access Through Deep Learning Solution using Facial Recognition
2019
To enforce authorized control access of the building’s respective areas to its employees, facial recognition algorithm (artificial neural...
To enforce authorized control access of the building’s respective areas to its employees, facial recognition algorithm (artificial neural networks) optimized and integrated with automated security system, Employee attendance is marked by integrating with Legacy web application.
Python
OpenCV
Deep Learning
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Python
OpenCV
Deep Learning
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