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Asif Hussain

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Karnataka, India

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Résumé

Jobs verified_user 0% verified
  • ODA Class
    Academic Mentor
    ODA Class
    Apr 2025 - Current (1 year 4 months)
  • Outlier.ai
    AI Trainer (Freelance)
    Outlier.ai
    Oct 2024 - Feb 2025 (5 months)
  • E
    Data Scientist Intern
    Evoastra Ventures (OPC) Pvt Ltd
    Jun 2024 - Aug 2024 (3 months)
    • Contributing to machine learning model development, improving model accuracy by X%. • Collaborating on data visualization projects using Power BI, creating interactive reports for business stakeholders. • Assisted in data preprocessing, feature engineering, and model tuning to enhance predictive accuracy.
Education verified_user 0% verified
  • LinkedIn Learning
    Python Functions for Data Science
    LinkedIn Learning
    Mar 2025 - Apr 2025 (2 months)
  • LinkedIn Learning
    What Is Generative AI?
    LinkedIn Learning
    Mar 2025
  • LinkedIn Learning
    Learning Microsoft 365 Copilot and Business Chat
    LinkedIn Learning
    Feb 2025
  • NULLCLASS
    Data Analyst Training & Real-Time Project
    NULLCLASS
    Oct 2024 - Mar 2025 (6 months)
  • UPGRAD
    Data Science Bootcamp
    UPGRAD
    Nov 2023 - Jun 2024 (8 months)
  • B
    Bachelor of Science
    Binod Bihari Mahto Koyalanchal University
    Jul 2017 - Jul 2021 (4 years 1 month)
  • R
    Diploma in Office Automation & Publishing (DOAP)
    Rajeev Gandhi Computer Saksharta Mission
    Mar 2017 - Dec 2018 (1 year 10 months)
Projects (professional or personal) verified_user 0% verified
  • UPGRAD
    Customer_churn_prediction
    UPGRAD
    Jan 2025 - Feb 2025 (2 months)
    Built a predictive model to identify customers likely to stop using a service, helping businesses take proactive retention actions. Performed data cleaning, feature engineering, and applied classification algorithms to achieve high accuracy in churn detection.
  • NULLCLASS
    Walmart_Sales_Data_Analysis
    NULLCLASS
    Dec 2024 - Jan 2025 (2 months)
    Analyzed Walmart's sales data to uncover trends, seasonal patterns, and key performance metrics across different stores and departments. Identified factors affecting sales and provided actionable insights to improve business strategies.
  • YouTube
    HR_Dashboard_MySQL_PowerBI
    YouTube
    Nov 2024 - Dec 2024 (2 months)
    Designed an interactive HR analytics dashboard by extracting and transforming employee data using MySQL. Visualized key HR metrics in Power BI such as employee distribution, attrition rate, department-wise headcount, and gender diversity to support data-driven HR decisions.
  • UPGRAD
    Superstore Sales Performance Analysis
    UPGRAD
    Oct 2024
    for a retail superstore using SQL queries and Tableau dashboards, helping identify key performance metrics and business opportunities.
  • UPGRAD
    Healthcare-Analytics
    UPGRAD
    Sep 2024 - Oct 2024 (2 months)
    Analyzed healthcare data to uncover patterns in patient demographics, treatment outcomes, and hospital performance. Generated actionable insights to support better clinical and operational decision-making.
  • e
    eCommerce Product Categorization
    Aug 2024
    Python, • Developed a machine learning model that categorizes products in an eCommerce platform using natural language processing techniques. Enhanced the accuracy of product categorization by 30%, improving user experience and search efficiency
  • UPGRAD
    Data_Analysis_using_MySQL
    UPGRAD
    Aug 2024 - Sep 2024 (2 months)
    Performed end-to-end data analysis using MySQL to extract, filter, and aggregate insights from large datasets. Wrote complex SQL queries to analyze sales trends, customer behavior, and business performance metrics.
  • UPGRAD
    Disease Prediction and Medical Recommendation System
    UPGRAD
    Jul 2024
    Developed a machine learning-based system that predicts potential diseases based on user-reported symptoms and provides relevant medical recommendations. The model uses a symptom-disease dataset to classify illnesses and suggest initial treatment or specialist consultation.
  • UPGRAD
    Credit Card Fraud Detection
    UPGRAD
    Jun 2024 - Jul 2024 (2 months)
    • Built a robust machine learning model to detect fraudulent credit card transactions on a highly imbalanced dataset. Achieved over 75% accuracy through techniques like SMOTE for data balancing and rigorous model validation, significantly reducing potential financial losses.
  • Kaggle
    Beer-Rating-Prediction
    Kaggle
    Mar 2024 - Apr 2025 (1 year 2 months)
  • UPGRAD
    NFT Data Analysis using SQL
    UPGRAD
    Feb 2024 - Mar 2024 (2 months)
    Performed data analysis on NFT transaction data to understand trends in sales, market behavior, and popular collections. Used SQL queries to extract key metrics such as transaction volume, average sale price, and buyer/seller activity.
Awards verified_user 0% verified
  • UPGRAD
    Data Science Hackathon
    UPGRAD
    Aug 2024 - Current (2 years)
    Built an automated system during a 2-day hackathon to classify products into correct categories using machine learning. Worked with three complex datasets, performed extensive feature engineering, and achieved high accuracy under time constraints. Secured 2nd prize for the solution.