HR Analytics Dashboard
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Summary
Created an interactive HR analytics dashboard using Microsoft Power BI to visualize key data and insights, aimed at improving HR performance.
Highly motivated B.Tech Computer Science student with a strong foundation in Machine Learning, Data Analytics, and Deep Learning, eager to leverage advanced analytical and programming skills to solve complex data challenges. Proven ability to build predictive models, optimize data processing, and generate actionable insights from large datasets, demonstrated through impactful internships and projects. Seeking to contribute to innovative data-driven solutions in a dynamic tech environment.
Data Analyst Intern
Gurugram, Haryana, India
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Summary
At UNIFIED MENTOR, Chahana leveraged SQL and Python to automate data cleaning and optimize data retrieval, driving significant improvements in analytical accuracy and efficiency.
Highlights
Automated data cleaning processes using SQL queries and Python scripts, successfully cutting manual effort by 30% and enhancing data integrity.
Optimized SQL queries, reducing data retrieval time by 40% for large datasets, improving analytical workflow efficiency.
Extracted and meticulously cleansed over 50,000 rows of retail sales data, resolving inconsistencies that boosted analytical accuracy by 15% and enabled more precise sales forecasting and trend identification.
Machine Learning Intern
Pilani, Rajasthan, India
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Summary
As a Machine Learning Intern at BITS Pilani, Chahana applied advanced computer vision techniques to develop real-time object detection models, significantly enhancing system accuracy and efficiency.
Highlights
Developed and implemented a YOLOv3 model for real-time object detection, training on over 2,000 manually labeled images to achieve an 85% mean average precision.
Improved detection accuracy by 15% across varied real-world scenarios through meticulous collection, annotation, and quality-checking of diverse datasets.
Automated critical data preprocessing tasks using Python, which reduced annotation time by 30% and streamlined the machine learning pipeline.
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B. Tech
Computer Science
Grade: CGPA: 9.18
Courses
Deep Learning
Data Analysis
Data Visualization
DBMS
Artificial Intelligence
ETL Process
Data Modeling
Statistical Analysis
Issued By
Issued By
Issued By
Issued By
TATA
Python, SQL.
MySQL, PostgreSQL.
Pandas, NumPy, Matplotlib, Pytorch, Tensorflow.
ETL, Data Visualization, Microsoft Excel, Microsoft Power BI, Streamlit.
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Summary
Created an interactive HR analytics dashboard using Microsoft Power BI to visualize key data and insights, aimed at improving HR performance.
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Summary
A data analysis project utilizing Kaggle API, Python, and Microsoft SQL Server to analyze retail order data and identify strategies for business improvement.
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Summary
Developed a Streamlit-based web application leveraging Python and Machine Learning to assess diabetes risk, prioritizing user accessibility and ease of use.