TATA Sales Dashboard
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Summary
Developed a comprehensive sales analytics dashboard using Power BI, Excel, DAX, and SQL to analyze revenue trends, profit margins, and key performance metrics for TATA sales data.
Highly analytical and results-driven professional with a strong foundation in data analysis, business intelligence, and machine learning, eager to leverage a unique blend of technical expertise and problem-solving skills to drive data-driven organizational success. Proven ability to translate complex data into actionable insights, optimize processes, and enhance product development, as demonstrated by a 30% improvement in user testing participation and 20% increase in targeted marketing efficiency through predictive modeling.
Product Growth Intern
Berkeley, California, US
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Summary
Led data analysis initiatives and user research to guide product iterations and enhance usability for Prism's identification platform.
Highlights
Conducted comprehensive user research and feedback analysis involving 100+ visually impaired users, employing statistical methods to guide product iterations for the 14th version of Prism's identification platform.
Led data analysis initiatives focused on user engagement metrics, resulting in a 30% improvement in user testing participation and significantly enhanced usability insights through quantitative analysis.
Analyzed user feedback and engagement data to identify key pain points and opportunities, directly informing product enhancements and feature development.
Avionics Engineer
Surat, Gujarat, India
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Summary
Designed and implemented data collection systems and optimized PCB design processes for 1U CubeSat projects.
Highlights
Designed and developed robust data collection systems for the 1U CubeSat (IOTA SQUARE), integrating environmental sensing capabilities for advanced forest fire detection and management.
Optimized antenna PCB design processes using a data-driven methodology, leading to the creation of a prototype now utilized across 7 distinct product lines organization-wide.
Implemented technical solutions utilizing C++, Arduino IDE, and data simulation tools for seamless component integration and comprehensive performance analysis.
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Bachelor of Technology
Aerospace Engineering
Grade: CGPA: 7.41
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Higher Secondary Education
Grade: 78.4%
Awarded By
Smart Indian Hackathon
Achieved semi-finalist status for implementing analytics and machine learning solutions in a competitive hackathon.
Awarded By
Smart Indian Hackathon
Recognized as a finalist for developing data-driven solutions in a national hackathon.
Issued By
Deloitte
Data Analysis, Business Intelligence, Data Visualization, Exploratory Data Analysis (EDA), Statistical Analysis, Time-series Analysis, Sales Forecasting, User Research, Quantitative Analysis, Data Preprocessing, Customer Segmentation, Risk Profiling, Automated Reporting.
Machine Learning, Predictive Modeling, Classification Algorithms, Random Forest, Logistic Regression.
Python, Pandas, NumPy, Matplotlib, Power BI, Excel, DAX, SQL, C++, Arduino IDE, Data Simulation Tools.
Aerospace Engineering, Avionics, CubeSat Systems, Product Growth, Forest Fire Detection.
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Summary
Developed a comprehensive sales analytics dashboard using Power BI, Excel, DAX, and SQL to analyze revenue trends, profit margins, and key performance metrics for TATA sales data.
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Summary
Built a predictive model using classification algorithms (Random Forest, Logistic Regression) to assess loan eligibility with 85% accuracy, leveraging Python, Pandas, NumPy, and Matplotlib.