Pallavi Y P

ANALYST

Bengaluru

Summary

Driven by a results-focused approach during my tenure at Unified Mentor, I leveraged Python and analytical thinking to enhance data processing and visualization, significantly boosting team productivity. My expertise in data cleaning and collaborative skills led to uncovering actionable insights, demonstrating a strong blend of technical proficiency and teamwork. Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

Overview

Certification

Work History

Data Analyst Intern

Unified Mentor

01.2024 - 02.2024

Converted raw datasets into meaningful formats by performing extensive pre-processing activities such as normalization and transformation.
Optimized SQL queries for faster processing times, increasing overall productivity within the team.
Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry.
Enhanced data visualization capabilities for better decision-making with the use of advanced BI tools.
Identified, analyzed, and interpreted trends or patterns in complex data sets by finding correlations and visualizing with charts.
Identified trends and patterns in complex datasets through exploratory data analysis, leading to actionable insights.

Education

Bachelor of Engineering - Electronics And Communications Engineering

GSKSJTI

Bengaluru, India

04.2001 -

Skills

Python Programming

Websites

Languages

English

Kannada

Telugu

Certification

DATA ANALYST

Projects

PREDICT INFANT MORTALITY RATE USING MACHINE LEARNING APPROACH

GSKSJTI • github.com/pallaviyp2002/Infant-Mortality • September 2023 - May 2024

Conducted extensive data analysis on historical health records, identifying key predictors and reducing data processing time by 40%.
Engineered a machine learning model to predict infant mortality rates, achieving 95% prediction accuracy and aiding healthcare providers in early intervention strategies.
Successfully deployed the predictive model into a user-friendly application, facilitating easier access for healthcare professionals and improving early intervention capabilities by 25%.
Developed an advanced feature selection technique that enhanced model performance by Decision Tree, leading to more accurate predictions and better resource allocation for healthcare providers.

Sales Analysis Dashboard using Advanced Excel

Besant Technologies • github.com/pallaviyp2002/Sales_report-analysis • February 2024 - March 2024

Built a sales analysis dashboard using Advanced Excel that provided real-time insights, increased reporting efficiency by 40%, and enabled data-driven decision-making through complex functions, pivot tables, and charts.
Integrated advanced VBA scripts to automate data consolidation tasks, reducing manual effort by 50% and enhancing accuracy in sales reporting.
Collaborated with the finance department to customize financial reporting templates, resulting in a 25% reduction in report generation time and improved alignment with business goals.

BIRD STRIKE VISUALISATION USING POWER BI

UNIFIED MENTOR • github.com/pallaviyp2002/Bird-Strike-Visualisation • January 2024 - February 2024

Gathered bird strike incident data from aviation authorities, airports, and airlines for analysis.
Designed and developed interactive dashboards in Power BI to showcase bird strike trends, locations, and severity.
Implemented filters and slicers to allow users to explore the data dynamically.
Created geographical maps to display bird strike incidents' distribution across different regions. Utilized Power BI functionalities such as DAX formulas to calculate key metrics and KPIs related to bird strikes.

Timeline