Amir Saleem Hello! I am

Amir Saleem

I'm a Data Scientist

Transforming raw data into actionable insights with Python, SQL & machine learning.

Islamabad, Pakistan

Resume Experience Contact Me

Skills

Tools and domains grouped by how often I use them—no invented percentages. One timeline below is anchored to real dates from my experience.

Python

8+ years in data-focused roles

From first data-science internship (2018) through present. The bar is a date span, not a skill score.

Engineering

Daily
Python Linux / Bash Git / GitHub
Occasionally
FastAPI / Django Web Scraping Bitbucket / GitLab

Data science (core)

Daily
SQL Problem Solving
Occasionally
R

Data engineering

Daily
PostgreSQL MySQL
Regularly
ETL
Occasionally
Amazon S3 Amazon Athena Amazon Redshift GraphQL

IDE & notebooks

Daily
Jupyter Cursor DBeaver
Occasionally
Colab Workbench

Data analysis

Daily
Pandas Google Sheets Pivot Tables
Regularly
Excel Data Mining Statistical Data Analysis

Machine learning

Regularly
Scikit-learn PyTorch MLOps Predictive Analytics Vision

Cloud & delivery

Regularly
CI/CD GitHub Actions
Occasionally
AWS Lambda AWS CloudWatch

Experience

Python Data Scientist

Turing
Remote (USA)

Nov 2023 - Mar 2026
(2 years, 5 months)

  • Conducted comprehensive data gathering and analysis, leveraging EDA, statistics, and machine learning techniques to derive actionable insights.
  • Formulated complex queries to drive deeper understanding across various domains, enhancing data-driven decision-making.
  • Developed and implemented robust code solutions, streamlining processes and improving efficiency.
  • Collaborated with LLM to identify performance issues, providing constructive feedback to enhance model accuracy.
  • Partnered with cross-functional teams to validate results and optimize model training, ensuring high-quality outcomes.
  • Evaluated LLM-generated code against stringent rubrics, contributing to code quality and reliability in production environments.
  • Engineered "bug-planting" scenarios, enhancing testing protocols and fostering a culture of continuous improvement.

Data Engineer ( Freelancer )

Medusa
Remote (USA)

Jun 2023 - Feb 2024
(9 months)

  • Developed and optimized ETL processes leveraging Redshift, Athena, and MySQL to enhance data accessibility and analysis.
  • Integrated CI/CD pipelines using Bitbucket to streamline deployment workflows, improving efficiency and reducing errors.
  • Automated code deployment by executing pushes that trigger Bitbucket pipelines, ensuring timely updates and consistency.
  • Oversaw Docker image deployments to AWS, utilizing CloudWatch for performance monitoring and resource optimization.
  • Executed reverse ETL processes to facilitate data extraction and transformation using GraphQL APIs, enhancing data usability for analytics.
  • Collaborated with cross-functional teams to translate complex data sets into actionable insights, driving data-informed decision-making.

Data Scientist

LoveForData
On-site (Karachi - Pakistan)

Jan 2023 - Nov 2023
(11 months)

  • ETL Development: Designed and optimized ETL processes to efficiently extract, transform, and load data from diverse sources into a robust data warehouse, enhancing data accessibility.
  • Advanced Data Analysis: Conducted in-depth data analysis using Python and SQL, uncovering actionable insights and trends that informed strategic decision-making.
  • Predictive Modeling: Engineered and deployed predictive models, leveraging machine learning techniques to forecast outcomes and drive business growth.
  • Data Visualization: Created compelling visualizations to communicate findings effectively to stakeholders, facilitating data-driven discussions.
  • Collaboration: Partnered with cross-functional teams to align data initiatives with business objectives, ensuring a comprehensive approach to data management.

Data Analyst

LoveForData
On-site (Karachi - Pakistan)

Jan 2021 - Dec 2022
( 2 years )

  • Django Development: Developed and maintained robust Django applications for enhanced data visualization and analysis, improving user engagement and decision-making.
  • Predictive Modeling: Designed and implemented predictive models that accurately forecasted future trends, leading to data-driven strategic decisions.
  • Advanced Data Analysis: Conducted in-depth data analysis using Python and SQL, uncovering critical patterns and trends that informed business strategies.
  • Market Basket Analysis: Utilized market basket analysis techniques to derive actionable insights, optimizing restaurant menu offerings and marketing strategies to enhance customer satisfaction and retention.
  • Data-Driven Solutions: Collaborated with cross-functional teams to deliver data-driven solutions that supported operational efficiency and business growth.

Junior Data Analyst

LoveForData
On-site (Karachi - Pakistan)

Apr 2019 - Dec 2020
( 1 year, 9 months )

  • Data Quality Improvement: Conducted comprehensive data audits to pinpoint and rectify inaccuracies, enhancing clients' understanding of their data integrity challenges.
  • Data Visualization: Created an interactive dashboard utilizing R-Shiny, enabling stakeholders to visualize and analyze complex datasets effectively.
  • ETL Development: Engineered robust ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse, streamlining data accessibility and reporting.
  • Analytical Skills: Leveraged statistical analysis and data modeling techniques to derive actionable insights, supporting data-driven decision-making.
  • Collaboration: Worked closely with cross-functional teams to align data strategies with business objectives, fostering a culture of data literacy.

Data Science Trainee

LoveForData
On-site (Karachi - Pakistan)

Oct 2018 - Mar 2019
( 6 months )

  • Web-Scraping: Engineered a robust web scraping application to efficiently extract and preprocess data from diverse online sources, enhancing data availability for analysis.
  • NLP: Designed and implemented an advanced NLP model for sentiment analysis, text summarization, and question answering, improving insights and decision-making capabilities.
  • Data Analysis: Conducted exploratory data analysis (EDA) to uncover trends and patterns, facilitating data-driven strategies.
  • Data Engineering: Collaborated on data pipeline development to ensure seamless data flow and integration for analytics projects.
  • Programming: Utilized Python and libraries such as Beautiful Soup, Pandas, and NLTK to optimize data extraction and analysis processes.

Data Science Intern

LoveForData
On-site (Karachi - Pakistan)

Aug 2018 - Sep 2018
( 2 months )

  • Assisted in data collection, cleaning, and organization.
  • Gained exposure to various data analysis tools and techniques.

Certifications

SQL

hackerrank
Issued: June 2023

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SQL

hackerrank
Issued: June 2023

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Fundamentals of Visualization with Tableau

University of California, Davis
Issued: May 2023

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Essential Design Principles for Tableau

University of California, Davis
Issued: May 2023

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Visual Analytics with Tableau

University of California, Davis
Issued: May 2023

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Python

Hackerrank
Issued: Feb 2023

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Introduction to Big Data with Spark and Hadoop

IBM Skills Network
Issued: Dec 2022

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Python for Data Science, AI & Development

IBM Skills Network
Issued: Nov 2022

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Python Project for Data Engineering

IBM Skills Network
Issued: Nov 2022

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Databases and SQL for Data Science with Python

IBM Skills Network
Issued: Nov 2022

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Hands-on Introduction to Linux Commands and Shell Scripting

IBM Skills Network
Issued: Nov 2022

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Relational Database Administration (DBA)

IBM Skills Network
Issued: Nov 2022

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ETL and Data Pipelines with Shell, Airflow and Kafka

IBM Skills Network
Issued: Nov 2022

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Getting Started with Data Warehousing and BI Analytics

IBM Skills Network
Issued: Nov 2022

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Introduction to NoSQL Databases

IBM Skills Network
Issued: Nov 2022

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Introduction to Statistics

Stanfor University
Issued: Oct 2022

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How Google does Machine Learning

Google Cloud
Issued: Oct 2022

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Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud
Issued: Oct 2022

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Introduction to Data Engineering

IBM Skills Network
Issued: Oct 2022

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Introduction to Relational Databases (RDBMS)

IBM Skills Network
Issued: Oct 2022

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Google Data Analytics (Professional Certificate)

Google
Issued: Sep 2022

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Foundations: Data, Data, Everywhere

Google
Issued: Aug 2022

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Share Data Through the Art of Visualization

Google
Issued: Aug 2022

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Ask Questions to Make Data-Driven Decisions

Google
Issued: Aug 2022

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Prepare Data for Exploration

Google
Issued: Aug 2022

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Data Analysis with R Programming

Google
Issued: Aug 2022

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Google Data Analytics Capstone: Complete a Case Study

Google
Issued: Aug 2022

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Process Data from Dirty to Clean

Google
Issued: Aug 2022

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Python Project: pillow, tesseract, and opencv

University of Michigan
Issued: Oct 2021

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Python 3 Programming (Specialization)

University of Michigan
Issued: Oct 2021

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Introduction to Probability and Data with R

Duke University
Issued: Oct 2021

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Using Python to Access Web Data

University of Michigan
Issued: Sep 2021

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Using Databases with Python

University of Michigan
Issued: Sep 2021

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Capstone: Retrieving, Processing, and Visualizing Data with Python

University of Michigan
Issued: Sep 2021

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Python

University of Michigan
Issued: Sep 2021

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Data Collection and Processing with Python

University of Michigan
Issued: Sep 2021

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Python Functions, Files, and Dictionaries

University of Michigan
Issued: Sep 2021

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Python Classes and Inheritance

University of Michigan
Issued: Sep 2021

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Python for Everybody (Specialization)

University of Michigan
Issued: Sep 2021

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Programming for Everybody (Getting Started with Python)

University of Michigan
Issued: Aug 2021

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Python Data Structures

University of Michigan
Issued: Aug 2021

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Linux for Developers

The Linux Foundation
Issued: Nov 2020

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Linux Server Management and Security

University of Colorado System
Issued: Oct 2020

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Analyzing Police Activity with pandas

datacamp
Issued: Sep 2020

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Introduction to Applied Machine Learning

Alberta Machine Intelligence Intitute
Issued: Jan 2020

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Machine Learning Algorithms: Supervised Learning Tip to Tail

Alberta Machine Intelligence Intitute
Issued: Jan 2020

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Data for Machine Learning

Alberta Machine Intelligence Intitute
Issued: Jan 2020

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R Programming

John Hopkins University
Issued: Aug 2019

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Exploratory Data Analysis

John Hopkins University
Issued: Aug 2019

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Getting and Cleaning Data

John Hopkins University
Issued: Jul 2019

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The Data Scientist’s Toolbox

John Hopkins University
Issued: Jun 2019

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Excel Skills for Business: Essentials

Macquarie University
Issued: Aug 2018

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Excel Skills for Business: Intermediate I

Macquarie University
Issued: Aug 2018

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Introduction to Data Science in Python

University of Michigan
Issued: Apr 2018

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Learn to Program: The Fundamentals

University of Toronto
Issued: Dec 2017

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Projects

Let's Connect

Location

Islamabad, Pakistan