Mathu Malathi G

Summary

Experienced in transforming data into actionable insights by loading, cleaning, and analyzing data using SQL and Python. Skilled in building interactive dashboards in Tableau, and training ML/DL models to solve real-world business problems.

Overview

years of professional experience

Certification

Work History

Software Engineer

HCL Technologies

01.2020 - 07.2024

Worked on real-time SAP SuccessFactors HR projects, handling data extraction, validation, and transformation using SQL and Python.
Developed HR dashboards in Tableau and Excel to visualize key metrics, like attrition, headcount, and employee performance, for stakeholders.
Cleaned and analyzed large volumes of HR data to improve data quality and support strategic decision-making.
Built and deployed ML models (e.g., attrition prediction, performance analysis) to solve business problems and optimize HR processes.
Collaborated with cross-functional teams in Agile environments to deliver end-to-end data solutions aligned with business goals.

Process Executive

Cognizant

08.2017 - 04.2019

Designed and managed reporting frameworks to evaluate marketing performance across multiple channels.
Acted as the single point of contact for all data and analytics needs within the project.
Led QA processes—created and reviewed QA plans, ensured data accuracy, and resolved reporting issues proactively.
Contributed to project planning, maintained documentation, and collaborated with teams and stakeholders for smooth project execution.

Education

Master of Computer Applications (MCA) -

Bharathiar University

Coimbatore, Tamil Nadu

08.2022

Bachelor of Computer Science (B.Sc.) -

PSGR Krishnammal College for Women

Coimbatore, Tamil Nadu

04.2017

Skills

Programming and data analysis: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL
Domain experience: SAP SuccessFactors (HR tech), analytics (Excel-based reporting)
Data visualization: Tableau (dashboards, KPI reports), Excel (pivot tables, VLOOKUP, charts)
Database & Tools: MySQL, JIRA, Git

Data science and ML: data preprocessing, feature engineering, model training (regression, classification), Scikit-learn
Data handling: data cleaning, data validation, reporting
Project methodologies: Agile (Scrum), documentation, requirement gathering, cross-functional collaboration

Certification

Data Scientist Certification – Simplilearn, Apr 2025 Skills: Data analysis, Tableau, statistics
Introduction to MS Excel – Simplilearn, May 2025 Skills: Excel Pivot, VBA Basics
Foundations: Data, data, everywhere – Google, Dec 2024 skills: data analytics, data-driven decision making

Projects

Sales performance tracker – regional overview | Tableau, Excel

• Created a sales dashboard to monitor revenue trends, top products, and regional performance

• Helped identify growth opportunities, and optimize sales strategy

Retail sales data analysis – SQL project | MySQL

• Wrote complex SQL queries to analyze product sales, revenue, and customer behavior from a retail dataset

• Delivered insights on top-selling items and seasonal patterns

Customer churn prediction – data science project | Python (Pandas, Seaborn, Scikit-learn)

• Conducted EDA and built a machine learning model to predict customer churn

• Improved retention strategies by identifying key churn indicators

Timeline