Muhammad Rashid

ABOUT ME A highly skilled data scientist with a strong command of Python and SQL, proficient in data preprocessing, statistical analysis, and machine learning. These capabilities enable the discovery of intricate data patterns that have a significant impact on business outcomes. CONTACT ME -- PORFOLIO linkedin.com github.com INTERNSHIP Data Analyst Intern, RED (February 2024 - March 2024) EXPERTISE Proficient in Python for data analysis, data manipulation, and automation tasks. Skilled in data extraction, transformation, and loading (ETL) processes using SQL and Python. Expertise in data cleaning, data transformation, and feature engineering. Experienced in connecting to and managing MySQL databases, including schema design and optimization. Competent in using Docker and Docker Compose for containerized application deployment. Proficient in data visualization using Matplotlib, Seaborn, and Plotly. Adept at creating and managing Power BI reports and dashboards for data visualization. Skilled in using Power Query for data transformation and manipulation. Strong problem-solving skills and ability to work with large datasets to derive actionable insights. Excellent understanding of database normalization and data modeling concepts. Capable of working with environment variables for secure and configurable application development. CERTIFICATES Data Analytics and Business Intelligence Certification (Virtual University | 2023) Applied Data Science with Machine Learning (Techma zone |-) PROJECTS SMS Spam Detection System Developed an SMS Spam Detection System leveraging a custom Naive Bayes classifier and CountVectorizer. Created a Streamlit app for instant predictions and explored Laplace smoothing's impact on performance using Python, NumPy, Pandas, and custom modules. Github: https://github.com Movie Recommendation System Developed a personalized Film Recommendation System from IMDb data using Python. Implemented stemming, bag of words, stop words, and cosine similarity for accurate suggestions. Integrated TMDB API for fetching movie posters and created a userfriendly interface with Streamlit for seamless user interaction. Github: https://github.com PSL Data Analysis -) Conducted comprehensive data analysis of the Pakistan Super League (PSL) from 2016 to 2022 using Python's native data types. Extracted actionable insights and trends to support strategic decision-making. Github: https://github.com Exploratory Data Analysis on Automobiles Dataset Performed detailed exploratory data analysis on an automobile dataset using Python, NumPy, and Pandas. Utilized Matplotlib and Seaborn to generate insightful visualizations, identifying trends and patterns crucial for data-driven decision-making. EXPERIENCE K-Electric (Data Processing Officer) currently working Bookmark Publishing (Account Executive) March 2017 - February 2022 Forwarding Co) Arsh & Co (Recycle Cloth(Clearing Factory) (Account Manager) January 2013 - March 2015 Butt Cargo international (Accountant) March 2010 - September 2012 Royal Group (Assistant Manager Finance Account) February 2006 - December 2008 Expolanka Pakistan (Pvt.) Ltd (Accounts Assistant) October 2005 - September 2006 Swift Cargo Systems (Freight Forwarding Co) (Assistant Manager Sales & Accounts) April 2002 - September 2005 EDUCATION University of Karachi Bachelor of Commerce - BCom Github: https://github.com EDA on Google Play Store Dataset PLed data cleaning and preprocessing efforts for a Google Play Store dataset, ensuring high data quality through missing values imputation and thorough analysis. Utilized SQL for efficient data querying and management, extracting actionable insights to drive informed business decisions kaggle : https://kaggle.com REFERENCES Ahmer Aftab Ahmed, Senior Officer Central Depository Company Pak. Ltd Cell: - l Email:-