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Muhammad Naqeeb's avatar

Muhammad Naqeeb A.

United Kingdom
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  • Profile
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 Experience

    3/5

  • Mysql NoSql Amazon Web Services (AWS) Google Cloud Platform Apache Spark Python Apache Kafka Apache Hadoop Scala
  • Data Scientist
    0-2 Year Experience

    4/5

  • 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

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