Likhith Reddy B

Detail-oriented and motivated recent graduate seeking a Data Analyst role, with a strong foundation in data visualization and analysis. Proficient in Power BI and data interpretation, aiming to leverage analytical skills to transform data into actionable insights and support informed decision-making. Eager to contribute to a dynamic team and drive data-driven solutions.

Superstore Sales Analysis, Power BI,

• Developed a comprehensive report analyzing sales and profit trends, highlighting the top 5 selling and most profitable sub-categories over a 4-year period.
• Utilized Power Query Editor for data cleaning and transformation.
• Employed DAX for creating measures and implemented visualizations using charts, cards, tables and filters for effective data presentation.

HR Analytics Dashboard (Power BI + SQL)

• Demonstrated skills in SQL for data extraction and preparation, Power BI for data modeling and visualization, and DAX calculations.
• Built a comprehensive dashboard to analyze employee data, including retention rates, demographics, job satisfaction, and department headcounts.
• Created filters to view metrics based on different employee categories, such as full-time, part-time, and contract workers.

SMART HANDLE: A Hands-on Approach to Safer Two-wheeler Riding, Python.

• Developed a Handlebar Detection System to enhance safety for two-wheeler riders by monitoring hand position on the handlebar.
• The system issues progressive warnings at 10-second intervals if a hand is removed and automatically stops the vehicle if the rider fails to respond, requiring a reset.
• This project addresses distracted riding, promoting safer riding practices.

VISION GUARD: A Smart Automobile Safety System, Python.

• Integrated Smart Handle technology into electric bikes to enhance user experience by developing a 'Road Sign Detection' feature.
• This system identifies road signs in real time and displays them on an LCD screen, improving rider awareness and ensuring critical traffic regulations and warnings are easily accessible.
• This project significantly enhances rider safety and navigational support.