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Pramod K.

@kbpramod7

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Data analyst | Python | Excel

$5 USD / Hour
・
Flag of
India (11:09 AM)
・
Joined on October 7, 2024
$5 USD / Hour
・
I am a skilled professional with expertise in Microsoft Excel, VBA, Python, and SQL, specializing in data analysis, process automation, and database management. With a strong foundation in problem-solving and technical skills, I excel in creating efficient workflows and delivering data-driven insights to support decision-making. Key Highlights: Excel Expertise: Advanced proficiency in spreadsheet functions, pivot tables, data visualization, and automation using VBA macros. Python Programming: Experienced in data analysis, web scraping, process automation, and visualization using libraries like Pandas, NumPy, and Matplotlib. SQL Proficiency: Skilled in writing complex queries, optimizing database performance, and managing relational databases. VBA Development: Capable of designing custom solutions to automate repetitive tasks and enhance productivity. I am a detail-oriented and adaptable professional with a commitment to delivering impactful solutions tailored to organizational needs. My ability to combine technical expertise with strong communication and collaboration skills makes me a valuable asset to any team.
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Portfolio

Portfolio

12476743
I developed a robust Habit Tracker tool designed for individuals and organizations to monitor, analyze, and optimize daily habits and tasks. This project integrates advanced spreadsheet techniques with user-friendly automation features to ensure a seamless tracking experience. Key functionalities include: Year and Month Selection: Customizable options to select specific months and years for precise task tracking using data validation. Interactive Task Tracker: Generates automated tick tables for daily task completion and tracks progress effectively. Graphical Insights: Provides detailed line and bar charts for visual representation of task completion rates. Hobby-specific bar graphs are enhanced with dynamic conditional formatting for clarity and customization. Automation with Safeguards: Features macros for adding hobbies and refreshing data. To avoid accidental actions, safeguards such as requiring a confirmation text before executing certain functions are implemented. Data Arch
Dynamic Habit Tracking Solution
I developed a robust Habit Tracker tool designed for individuals and organizations to monitor, analyze, and optimize daily habits and tasks. This project integrates advanced spreadsheet techniques with user-friendly automation features to ensure a seamless tracking experience. Key functionalities include: Year and Month Selection: Customizable options to select specific months and years for precise task tracking using data validation. Interactive Task Tracker: Generates automated tick tables for daily task completion and tracks progress effectively. Graphical Insights: Provides detailed line and bar charts for visual representation of task completion rates. Hobby-specific bar graphs are enhanced with dynamic conditional formatting for clarity and customization. Automation with Safeguards: Features macros for adding hobbies and refreshing data. To avoid accidental actions, safeguards such as requiring a confirmation text before executing certain functions are implemented. Data Arch
Dynamic Habit Tracking Solution
I developed a robust Habit Tracker tool designed for individuals and organizations to monitor, analyze, and optimize daily habits and tasks. This project integrates advanced spreadsheet techniques with user-friendly automation features to ensure a seamless tracking experience. Key functionalities include: Year and Month Selection: Customizable options to select specific months and years for precise task tracking using data validation. Interactive Task Tracker: Generates automated tick tables for daily task completion and tracks progress effectively. Graphical Insights: Provides detailed line and bar charts for visual representation of task completion rates. Hobby-specific bar graphs are enhanced with dynamic conditional formatting for clarity and customization. Automation with Safeguards: Features macros for adding hobbies and refreshing data. To avoid accidental actions, safeguards such as requiring a confirmation text before executing certain functions are implemented. Data Arch
Dynamic Habit Tracking Solution
I developed a robust Habit Tracker tool designed for individuals and organizations to monitor, analyze, and optimize daily habits and tasks. This project integrates advanced spreadsheet techniques with user-friendly automation features to ensure a seamless tracking experience. Key functionalities include: Year and Month Selection: Customizable options to select specific months and years for precise task tracking using data validation. Interactive Task Tracker: Generates automated tick tables for daily task completion and tracks progress effectively. Graphical Insights: Provides detailed line and bar charts for visual representation of task completion rates. Hobby-specific bar graphs are enhanced with dynamic conditional formatting for clarity and customization. Automation with Safeguards: Features macros for adding hobbies and refreshing data. To avoid accidental actions, safeguards such as requiring a confirmation text before executing certain functions are implemented. Data Arch
Dynamic Habit Tracking Solution
12453656
Designed and developed an interactive sales dashboard for analyzing and visualizing a dataset with over 10,000 rows of sales data. Key features of the dashboard include: Pivot Tables: Structured and summarized data by key dimensions such as category, segment, and ship mode. Slicers: Added interactive buttons to filter data dynamically based on specific dimensions like category, segment, and shipping mode, enabling users to analyze trends effortlessly. Visualization: Included visual elements such as bar charts and line graphs to highlight key sales metrics like revenue, profit, and order counts. User-Friendly Design: Ensured the dashboard was easy to navigate and offered insights at a glance.
Interactive Sales Data Dashboard
Designed and developed an interactive sales dashboard for analyzing and visualizing a dataset with over 10,000 rows of sales data. Key features of the dashboard include: Pivot Tables: Structured and summarized data by key dimensions such as category, segment, and ship mode. Slicers: Added interactive buttons to filter data dynamically based on specific dimensions like category, segment, and shipping mode, enabling users to analyze trends effortlessly. Visualization: Included visual elements such as bar charts and line graphs to highlight key sales metrics like revenue, profit, and order counts. User-Friendly Design: Ensured the dashboard was easy to navigate and offered insights at a glance.
Interactive Sales Data Dashboard
Designed and developed an interactive sales dashboard for analyzing and visualizing a dataset with over 10,000 rows of sales data. Key features of the dashboard include: Pivot Tables: Structured and summarized data by key dimensions such as category, segment, and ship mode. Slicers: Added interactive buttons to filter data dynamically based on specific dimensions like category, segment, and shipping mode, enabling users to analyze trends effortlessly. Visualization: Included visual elements such as bar charts and line graphs to highlight key sales metrics like revenue, profit, and order counts. User-Friendly Design: Ensured the dashboard was easy to navigate and offered insights at a glance.
Interactive Sales Data Dashboard
Designed and developed an interactive sales dashboard for analyzing and visualizing a dataset with over 10,000 rows of sales data. Key features of the dashboard include: Pivot Tables: Structured and summarized data by key dimensions such as category, segment, and ship mode. Slicers: Added interactive buttons to filter data dynamically based on specific dimensions like category, segment, and shipping mode, enabling users to analyze trends effortlessly. Visualization: Included visual elements such as bar charts and line graphs to highlight key sales metrics like revenue, profit, and order counts. User-Friendly Design: Ensured the dashboard was easy to navigate and offered insights at a glance.
Interactive Sales Data Dashboard
12476743
I developed a robust Habit Tracker tool designed for individuals and organizations to monitor, analyze, and optimize daily habits and tasks. This project integrates advanced spreadsheet techniques with user-friendly automation features to ensure a seamless tracking experience. Key functionalities include: Year and Month Selection: Customizable options to select specific months and years for precise task tracking using data validation. Interactive Task Tracker: Generates automated tick tables for daily task completion and tracks progress effectively. Graphical Insights: Provides detailed line and bar charts for visual representation of task completion rates. Hobby-specific bar graphs are enhanced with dynamic conditional formatting for clarity and customization. Automation with Safeguards: Features macros for adding hobbies and refreshing data. To avoid accidental actions, safeguards such as requiring a confirmation text before executing certain functions are implemented. Data Arch
Dynamic Habit Tracking Solution
I developed a robust Habit Tracker tool designed for individuals and organizations to monitor, analyze, and optimize daily habits and tasks. This project integrates advanced spreadsheet techniques with user-friendly automation features to ensure a seamless tracking experience. Key functionalities include: Year and Month Selection: Customizable options to select specific months and years for precise task tracking using data validation. Interactive Task Tracker: Generates automated tick tables for daily task completion and tracks progress effectively. Graphical Insights: Provides detailed line and bar charts for visual representation of task completion rates. Hobby-specific bar graphs are enhanced with dynamic conditional formatting for clarity and customization. Automation with Safeguards: Features macros for adding hobbies and refreshing data. To avoid accidental actions, safeguards such as requiring a confirmation text before executing certain functions are implemented. Data Arch
Dynamic Habit Tracking Solution
I developed a robust Habit Tracker tool designed for individuals and organizations to monitor, analyze, and optimize daily habits and tasks. This project integrates advanced spreadsheet techniques with user-friendly automation features to ensure a seamless tracking experience. Key functionalities include: Year and Month Selection: Customizable options to select specific months and years for precise task tracking using data validation. Interactive Task Tracker: Generates automated tick tables for daily task completion and tracks progress effectively. Graphical Insights: Provides detailed line and bar charts for visual representation of task completion rates. Hobby-specific bar graphs are enhanced with dynamic conditional formatting for clarity and customization. Automation with Safeguards: Features macros for adding hobbies and refreshing data. To avoid accidental actions, safeguards such as requiring a confirmation text before executing certain functions are implemented. Data Arch
Dynamic Habit Tracking Solution
I developed a robust Habit Tracker tool designed for individuals and organizations to monitor, analyze, and optimize daily habits and tasks. This project integrates advanced spreadsheet techniques with user-friendly automation features to ensure a seamless tracking experience. Key functionalities include: Year and Month Selection: Customizable options to select specific months and years for precise task tracking using data validation. Interactive Task Tracker: Generates automated tick tables for daily task completion and tracks progress effectively. Graphical Insights: Provides detailed line and bar charts for visual representation of task completion rates. Hobby-specific bar graphs are enhanced with dynamic conditional formatting for clarity and customization. Automation with Safeguards: Features macros for adding hobbies and refreshing data. To avoid accidental actions, safeguards such as requiring a confirmation text before executing certain functions are implemented. Data Arch
Dynamic Habit Tracking Solution
12453656
Designed and developed an interactive sales dashboard for analyzing and visualizing a dataset with over 10,000 rows of sales data. Key features of the dashboard include: Pivot Tables: Structured and summarized data by key dimensions such as category, segment, and ship mode. Slicers: Added interactive buttons to filter data dynamically based on specific dimensions like category, segment, and shipping mode, enabling users to analyze trends effortlessly. Visualization: Included visual elements such as bar charts and line graphs to highlight key sales metrics like revenue, profit, and order counts. User-Friendly Design: Ensured the dashboard was easy to navigate and offered insights at a glance.
Interactive Sales Data Dashboard
Designed and developed an interactive sales dashboard for analyzing and visualizing a dataset with over 10,000 rows of sales data. Key features of the dashboard include: Pivot Tables: Structured and summarized data by key dimensions such as category, segment, and ship mode. Slicers: Added interactive buttons to filter data dynamically based on specific dimensions like category, segment, and shipping mode, enabling users to analyze trends effortlessly. Visualization: Included visual elements such as bar charts and line graphs to highlight key sales metrics like revenue, profit, and order counts. User-Friendly Design: Ensured the dashboard was easy to navigate and offered insights at a glance.
Interactive Sales Data Dashboard
Designed and developed an interactive sales dashboard for analyzing and visualizing a dataset with over 10,000 rows of sales data. Key features of the dashboard include: Pivot Tables: Structured and summarized data by key dimensions such as category, segment, and ship mode. Slicers: Added interactive buttons to filter data dynamically based on specific dimensions like category, segment, and shipping mode, enabling users to analyze trends effortlessly. Visualization: Included visual elements such as bar charts and line graphs to highlight key sales metrics like revenue, profit, and order counts. User-Friendly Design: Ensured the dashboard was easy to navigate and offered insights at a glance.
Interactive Sales Data Dashboard
Designed and developed an interactive sales dashboard for analyzing and visualizing a dataset with over 10,000 rows of sales data. Key features of the dashboard include: Pivot Tables: Structured and summarized data by key dimensions such as category, segment, and ship mode. Slicers: Added interactive buttons to filter data dynamically based on specific dimensions like category, segment, and shipping mode, enabling users to analyze trends effortlessly. Visualization: Included visual elements such as bar charts and line graphs to highlight key sales metrics like revenue, profit, and order counts. User-Friendly Design: Ensured the dashboard was easy to navigate and offered insights at a glance.
Interactive Sales Data Dashboard
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Experience
Data analyst
Jun, 2021 - Present
•
3 years, 7 months
Pinaka analytics
Jun, 2021 - Present
•
3 years, 7 months
Developed advanced Excel dashboards with interactive visuals and pivot tables, enhancing decision-making for cross-functional teams. Automated repetitive processes using VBA, reducing task completion time by 30%. Designed and implemented SQL queries for data extraction, transformation, and reporting, improving database performance and accuracy. Utilized Python for data scraping, analysis, and visualization, streamlining insights from unstructured data sources.
Flag of
Bengaluru , India
Jun, 2021 - Present
•
3 years, 7 months
Education
National Institute of Technology Karnataka
2016 - 2020
•
4 years
Computer science
Flag of
India
2016 - 2020
•
4 years
Qualifications
Python for Data science
2023
Cognitive class
The Python for Data Science course teaches core Python concepts and their application in data science. It covers data manipulation, analysis, and visualization using libraries like NumPy, pandas, and Matplotlib. Learners also explore basic statistics, machine learning, and real-world projects to build skills for data science roles.
2023
Google Data Analytics Professional Certificate
2023
Coursera
The Google Data Analytics Professional Certificate .It covers tools like Google Sheets, SQL, R, and Tableau across 8 courses, including a capstone project to build a portfolio. The program emphasizes problem-solving, critical thinking, and communication skills. Offered via Coursera, this flexible program equips learners for roles like data analyst with Google-recognized certification.
2023
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