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Kishore K. — Junior Data Analyst from India

Kishore K.

Junior Data Analyst

India Less than 1 year
Open to offersNew to Platform
Languages
English
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About

Kishore K. is an aspiring Data Analyst who holds a Bachelor's degree in Commerce and a Master's Data Science Program certification from GUVI-HCL. Possessing a strong foundation in Python, SQL, PostgreSQL, and Power BI, Kishore is adept in Machine Learning, Data Cleaning, and Exploratory Data Analysis. An AI/ML internship helped hone his skills in developing end-to-end analytics projects involving data preprocessing, visualization, predictive modeling, and business intelligence reporting. Kishore has applied these skills in diverse projects, such as Customer Shopping Behavior Analysis and Retail Sales Forecasting, where he utilized tools like Power BI and Tableau to analyze trends and generate actionable insights. A proficient user of Jupyter Notebook, Git, and VS Code, Kishore is seeking to apply his analytical and problem-solving skills in an entry-level Data Analyst role within a data-driven environment.

Experience

  • AI/ML Intern

    Technical One · 2026 — 2026
    Collected, cleaned, and transformed datasets for machine learning applications. Conducted Exploratory Data Analysis (EDA) using Python libraries. Built and evaluated machine learning models for predictive analytics and developed Power BI dashboards to visualize business insights. Worked with PostgreSQL and SQL queries for data extraction and analysis, and collaborated with team members to deliver AI and analytics solutions.
  • Customer Shopping Behavior Analysis Dashboard

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    Analyzed over 3,900 customer records to uncover purchasing patterns and preferences. Performed data cleaning, transformation, and preprocessing to enhance data quality. Developed interactive Power BI dashboards featuring KPIs, filters, and customer insights. Conducted customer segmentation and trend analysis based on demographics, product categories, and seasonal behavior to deliver actionable business insights.
  • Retail Sales Forecasting Using Machine Learning

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    Analyzed retail sales data to identify trends and factors impacting store performance. Executed data cleaning, missing value treatment, feature engineering, and exploratory data analysis (EDA). Constructed machine learning regression models to predict weekly sales across stores and departments. Developed interactive Tableau dashboards and a Streamlit application for sales visualization and forecasting, generating insights to aid in inventory planning and demand forecasting.

Skills & Expertise

Education

  • Master Data Science Program
    GUVI – HCL · 2023 — 2024
  • Bachelor of Commerce (B.Com)
    Thiruvalluvar University · 2020 — 2023

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