sharmila devi

[email protected] 70575981

PROFESSIONAL SUMMARY

Results-driven Data Analyst with over 3 years of experience leveraging advanced statistical analysis, predictive modeling, and data visualization to drive strategic business decisions. Expert in SQL, Python, R, and Tableau, successfully optimizing reporting processes and increasing data accuracy by 20%. Proven track record of collaborating with cross-functional teams to identify key trends that boosted operational efficiency by 15%, enabling data-driven growth and improved decision-making. Committed to transforming complex datasets into actionable insights that support organizational objectives and foster continuous improvement.

WORK EXPERIENCE

Data analysis
01/2019 - 08/2023
Cresent Higher Secondary School , Tamil Nadu
I am worked at system engineer at Al Ashma school at Tamilnadu,India-(2013-2019)

EDUCATION

B.TECH IT
07/2009 - 09/2012
ANNA UNIVERSITY , Chennai GPA: 72

SKILLS

Technical Skills: SQL, Python, R, Data Cleaning, Statistical Analysis, Data Visualization, Excel
Soft Skills: Critical Thinking, Collaboration, Problem Solving
Tools: Tableau, Power BI, Matplotlib, Excel

PROJECTS

School Projects
Data cleaning and preprocessing
SQL querying and database management
Statistical analysis (regression, correlation)
Data visualization and storytelling
Report writing and presentation

CERTIFICATIONS

AI DATA ANALYSTICS
11/2025
Vetri Solution

ACHIEVEMENTS

Improved prediction accuracy: Built a regression model that achieved 85% accuracy in forecasting student exam scores.
Optimized data quality: Cleaned and standardized 10,00+ records, reducing missing values by 30% and improving reliability of analysis.
Actionable insights: Identified study habits and attendance as the top two predictors of academic success, influencing recommendations for school policy.
Visualization impact: Designed interactive dashboards in Tableau that clearly communicated trends to non-technical audiences (professors and classmates).
Collaboration success: Worked in a team of 4 to deliver a comprehensive report ahead of deadline, earning top marks for clarity and depth.
Recognition: Project was selected as one of the best in class presentations for its practical application of data analysis methods.