
Muhammad Naqeeb A.
United Kingdom
Profile Summary
An enthusiastic data scientist with data engineering skill and 2+ years of commercial experience. A committed and motivated individual who has an ability to lead, is a fast learner and a great team player.
Expertise
Data Engineer
0-2 Year Experience3/5
Mysql
NoSql
Amazon Web Services (AWS)
Google Cloud Platform
Apache Spark
Python
Apache Kafka
Apache Hadoop
Scala
Data Scientist
0-2 Year Experience4/5
Python
Python
Machine Learning
Deep Learning
Tensorflow
Pytorch
Ipython Notebook
Data Visualization
Mysql
NoSql
Employment History
Data Scientist
TheAppExperts
Full Time
London, UK
May 2019 - Currently Working Here
- Led a team of 2 Data Scientists to successfully solve a multi-label classification problem.
- Mentored a team of 2 Junior Data Scientists to successfully predict the hashtag of tweets using machine learning and deep learning techniques.
- Used LSTM and CNN along with Word Embeddings to create a deep learning solution for natural language to predict the sentiment on the data provided by the client.
- Used nltk in Python along with regex to remove stop words and vectorize the text data in order to accurately predict the sentiment of the data
- Used clustering techniques to detect frauds on the customers.
- Used LSTM to accurately forecast the time series data.
- Used sklearn pipeline to package the model and created the API of the model using Django.
- Led a project to successfully create a data pipeline using Apache Kafka and Pyspark.
- Worked with pyspark in EMR to perform the ETL and stored the data inside the data lake.
- Pipelined the data from the server using linux scripts in NIFI.
- Mentored Junior Data Engineers to use AWS Big Data Stack.
- Modified already built code in Java to ingest the data from the source server.
- Used gitlab alongside Jenkins for CI/CD environment.
- Worked in an agile environment.
Junior Data Scientist
TheAppExperts
Full Time
London, UK
Jan 2019 - Apr 2019
- Classified different customers into different categories using classification algorithms like logistic regression, random forest, xgboost classifier.
- Used time series analysis to forecast the time related data using pandas, ARIMA, SARIMA and SARIMAX
- Performed feature engineering to improve the performance of the machine learning models.
- Worked on different kinds of data such as csv, txt, json and XML.
- Used tidyverse in R for data wrangling and data cleaning.
- Created dashboards using R Shiny and RMarkdown to present it to the technical and non-technical audience.
- Used matplotlib and seaborn to perform EDA on the data.
- Used Linux shell script to automate different jobs.
- Used Git for version control.
Data Analyst/ Data Manager
West Bromwich Tyres
Full Time
West Bromwich, UK
May 2018 - Jan 2020
- Developed several regression models to predict the supplies and demands.
- Used visualization to determine the seasonal spare parts in order to fulfill its demands.
- Used dplyr in R and Pandas in Python for performing Exploratory data analysis.
- Used SQLAlchemy alongwith pandas to extract the data from the database.
- Responsible for data entry to the databases.
Education
Computer Sciences
National University of Computer and Emerging Sciences, Lahore Pakistan
Dec 2017
Electrical Engineering
University of Engineering & Technology Lahore, Pakistan
Dec 2014
Languages
English
Full Professional Proficiency
Looking For
Preferred work-style
Muhammad Naqeeb is available for hire
Hire Muhammad Naqeeb