About
Highly motivated Data Analyst with a Bachelor of Technology in Computer Science & Systems Engineering, specializing in transforming raw data into business-impacting insights. Proven ability to develop predictive models, enhance reporting efficiency, and automate data processes, as demonstrated by improving churn model accuracy to 86% and boosting operational reporting speed by 40%. Adept in Python, SQL, and Azure, with a strong focus on driving measurable results and leveraging advanced analytics for strategic decision-making.
Work
Vizianagaram, AP, India
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Summary
Developed a comprehensive churn prediction model and interactive BI dashboard, identifying revenue leakage risks and accelerating leadership decision-making.
Highlights
Analyzed a 10,000+ row telecom dataset to identify revenue leakage risks and developed a churn prediction model using XGBoost, achieving 86% accuracy.
Automated data preprocessing pipelines in Python and integrated insights into an interactive Power BI dashboard, accelerating leadership decision speed by 40%.
Designed and implemented custom SQL queries and blended multiple data sources to support robust Power BI and Tableau dashboards.
Simulated a client reporting environment with automated refresh cycles and performance testing, ensuring reliability and scalability of the solution.
Vizianagaram, AP, India
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Summary
Led a 4-member team in developing an object detection model using YOLOv5 and PyTorch, enhancing detection accuracy by 20% through hyperparameter optimization and Agile methodologies.
Highlights
Led a 4-member team in developing an object detection model using YOLOv5 and PyTorch, achieving a 20% improvement in detection accuracy through hyperparameter optimization.
Managed end-to-end project delivery utilizing Agile methodology, Git version control, and sprint planning, ensuring efficient workflow and timely completion.
Fostered team growth by conducting peer mentoring and code reviews, maintaining high code quality and collaborative problem-solving.
Facilitated regular scrum meetings to track progress, resolve blockers, and ensure project alignment with quality standards.
Publications
Skills
Methodologies
Agile Methodology, Sprint Planning, Code Reviews.
Data Analysis & Machine Learning
Predictive Modeling, Classification, Regression, XGBoost, Data Cleaning, ETL Processes, Exploratory Data Analysis (EDA), Churn Prediction, Object Detection, Hyperparameter Optimization.
Programming & Databases
Python, Pandas, NumPy, Scikit-learn, SQL, MS Excel (PivotTables, VLOOKUP).
Data Visualization & BI
Power BI, Tableau, Matplotlib, Interactive Dashboards, Reporting Automation.
Tools & Platforms
MS Word, YOLOv5, PyTorch, Azure, Git.
Soft Skills
Communication, Leadership, Critical Thinking, Time Management, Collaboration, Data Storytelling, Adaptability.
Volunteer
MedhaXL
|Hackathon Participant
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Summary
Participated in a full-stack hackathon, applying technical skills in a competitive environment.
Highlights
Engaged in a full-stack hackathon, contributing to rapid prototyping and solution development.
Collaborated with peers to solve complex technical challenges under tight deadlines.