Subathra Devi

Data Scientist

Tiruchirappalli, Tamil Nadu, India5 yrs 1 mo experience

Most Likely To Switch

Key Highlights

Led data analysis initiatives achieving 99% accuracy.
Developed machine learning models for predictive analytics.
Automated reporting processes enhancing efficiency.

Stackforce AI infers this person is a Data Analyst with expertise in Data Science and Machine Learning.

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Skills

Core Skills

Data AnalysisData VisualizationMachine LearningData ScienceData Management

Other Skills

Microsoft Excel MacrosExcel DashboardsMicrosoft Power BIMicrosoft SQL ServerpythonAutomationMachine Learning AlgorithmsPython (Programming Language)Predictive ModelingClassificationData PreprocessingMicrosoft ExcelData AutomationDashboard CreationData Validation

About

I am currently working as a Senior Executive – Data Analyst at VDart. My technical expertise is also used in my position to improve data workflows, automate data reporting, and ensure data is more accurate. I use Excel, Power BI, SQL, and Python as some of the tools to read and analyze data to provide meaningful insights that can help make decisions in business. I am actively involved in implementing new strategies and technical solutions to improve efficiency and scalability. Through team work, I am able to convert complicated data into actionable information which can help the business grow. I am passionate about continuously learning and improving my skills, and I enjoy working on data-driven solutions that create real impact

Experience

5 yrs 1 mo

Total Experience

1 yr 8 mos

Average Tenure

2 yrs 4 mos

Current Experience

Vdart

4 roles

Senior Executive - Data Analyst

Promoted

Apr 2026 – Present · 1 mo · Trichy · On-site

Led data analysis initiatives, ensuring high data accuracy and reliability across reports and dashboards. Automated periodic reports and simplified data processes to enhance efficiency and minimize manual efforts.
Worked across functional areas to convert complex data into actionable knowledge and aid data-driven business strategies. Use of advanced analytical methods and Python-based solutions to augment data processing and insight generation.
Implementing improved reporting and analytical approaches to support more efficient and scalable operations.

Microsoft Excel MacrosExcel DashboardsMicrosoft Power BIMicrosoft SQL ServerpythonData Analysis+1

Data Analyst

Dec 2024 – Jan 2025 · 1 mo · Tamil Nadu, India · On-site

Successfully optimized data workflows through advanced data cleaning and extraction techniques. Resolved critical issues in the performance tracker within Google sheets, ensuring accuracy and reliability. Automated weekly and monthly performance dashboard in Excel, streamlining reporting processes. Designed and implemented a comprehensive Dashboards, providing actionable insights for improved decision-making.

Microsoft ExcelExcel DashboardsMicrosoft Power BIData AnalysisData Visualization

Senior Executive

Promoted

Dec 2023 – Sep 2024 · 9 mos · On-site

Led data analysis efforts, achieving 99% accuracy.
Automated recurring reports and streamlined data processes to enhance accuracy and efficiency.
Collaborated with cross-functional teams to transform data into actionable insights and develop data-driven strategies for business growth.
Received the "𝐑𝐢𝐬𝐢𝐧𝐠 𝐒𝐭𝐚𝐫 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞" award in recognition of outstanding contributions and exceptional performance within the organization.

Data ValidationData WarehousingExcel DashboardsMicrosoft Power BIData-Driven InsightsData Analysis+1

Executive

Jul 2022 – Dec 2023 · 1 yr 5 mos · On-site

I am responsible for managing organization-wide data, leveraging it to drive growth, support strategic decision-making, and facilitate business discussions that lead to actionable insights and outcomes.

Data ValidationData WarehousingExcel DashboardsAnalytical SkillsMicrosoft Excel MacrosData Management+1

Codtech it solutions

Machine Learning

Dec 2024 – Mar 2025 · 3 mos · Hyderabad, Telangana, India · Remote

During my 3-month internship, I gained hands-on experience in Machine Learning and Data Science, working on real-world projects that involved both basic and advanced ML techniques. My key contributions include:
✅ Predictive Modeling – Built regression models for housing price prediction.
✅ Fraud Detection – Developed a classification model to identify fraudulent credit card transactions.
✅ Decision Trees & Model Optimization – Implemented and fine-tuned decision tree models for various use cases.
✅ Image Classification – Trained deep learning models for object recognition and classification.
✅ Sentiment Analysis with NLP – Processed and analyzed text data to classify emotions and opinions.
✅ Recommendation Systems – Designed algorithms to provide personalized recommendations.
✅ Data Preprocessing & Feature Engineering – Cleaned, transformed, and visualized large datasets.
✅ Tools & Technologies – Proficient in Python, Scikit-learn, TensorFlow, Pandas, NumPy, and Matplotlib.
This internship strengthened my ability to apply ML algorithms to solve real-world problems, optimize model performance, and interpret data-driven insights.