HR Analytics KPI Dashboard
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Summary
Designed and implemented an HR analytics KPI dashboard using SQL, Excel, Power BI, and Power Query to monitor employee turnover and promote equity.
Highly motivated and results-driven Data Analyst with a strong foundation in SQL, Python, and Power BI, adept at transforming complex raw data into actionable insights. Proven ability to automate reporting processes, enhance business decision-making, and improve forecast reliability, as demonstrated by a 30% reduction in manual effort and a 25% increase in forecast accuracy. Eager to leverage analytical thinking and problem-solving skills to drive impactful data-driven strategies and foster organizational growth.
Data Science Consultant
Bangalore, Karnataka, India
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Summary
Spearheaded data analysis and reporting initiatives, leveraging Python, SQL, and Power BI to automate processes, enhance decision-making, and deliver actionable insights for Rubixe AI Company.
Highlights
Automated data collection from APIs and surveys, and streamlined report generation using Python, resulting in a 30% reduction in manual effort and accelerated insight delivery.
Executed comprehensive trend analysis on over 2 million records within SQL Server Database and Power BI, enhancing business decision-making responsiveness by a factor of 1.25.
Developed and deployed 5+ interactive dashboards tailored for diverse stakeholders, reducing ad-hoc data requests by 40%.
Cleaned and validated datasets with 95% accuracy, ensuring compliance with regulatory standards and minimizing data errors.
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Bachelor of Engineering
Artificial Intelligence
Grade: 8.53/10 CGPA
Issued By
IABAC
Issued By
HackerRank
SQL, Python, Pandas, NumPy, Scikit-learn, TensorFlow, Excel (Advanced), Power BI.
MySQL, SSIS, Data Warehousing, ETL Automation.
Deep Learning, NLP, Statistical Modeling, Predictive Analytics, Regression, Clustering.
Problem-Solving, Collaboration, Communication, Adaptability, Critical Thinking.
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Summary
Designed and implemented an HR analytics KPI dashboard using SQL, Excel, Power BI, and Power Query to monitor employee turnover and promote equity.
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Summary
Performed comprehensive pizza sales analysis using Excel, SQL, Power BI Dashboard, and Power Query to optimize operations and revenue.
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Summary
Conducted in-depth customer churn analysis using Python (Pandas, NumPy, Seaborn), SQL, Power BI, and Excel to identify critical retention opportunities and inform bespoke strategies.
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Summary
Built and evaluated predictive models using Python (Pandas, NumPy, Seaborn, EDA, Data Preprocessing, PCA, Regression) to forecast automobile prices.
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Summary
Developed a machine learning pipeline using Python (Pandas, NumPy, Seaborn, EDA, Clustering) within Jupyter Notebooks to analyze over 2 million FIFA 20 player statistics and predict future performance.