Ranjani M profile photo 1 on Tal

Ranjani M

Data Analyst | Discovering Patterns, Delivering Solutions | Data Analytics • Machine Learning • AI | Python • SQL • Power BI • Tableau • Excel | Statistics & Prompt Engineering | Open to Work

Karaikal

< 1 year of work experience

VDart Academy
Dec 20254 mosMar 2026

Tiruchirappalli, Tamil Nadu, India

• Performed data cleaning, preprocessing, and exploratory data analysis on multiple real-world datasets to identify trends and patterns. • Developed interactive dashboards and visualizations using Python, Excel, and Power BI to present actionable insights to stakeholders. • Applied statistical analysis and basic machine learning techniques for predictive modeling and data-driven decision-making. • Collaborated on projects involving sentiment analysis, customer churn prediction, and trend analysis, enhancing problem-solving and analytical skills. • Gained hands-on experience in transforming raw data into meaningful insights for business applications.
Zaalima Development Pvt. Ltd
Nov 20253 mosJan 2026

Bengaluru, Karnataka, India

Completed intensive training and internship in Data Science & Machine Learning. Worked on data analysis, model building, and evaluation using Python, NumPy, Pandas, and Scikit-learn. Gained hands-on experience in building real-world ML projects and improving model performance.
The Developers Arena
Jul 20257 mosJan 2026

Telangana, India

Completed the internship course with comprehensive training in both theoretical concepts and practical implementation. The course strengthened my technical skills and industry-oriented knowledge.
Net tel solutions india pvt ltd
May 20252 mosJun 2025

Coimbatore, Tamil Nadu, India

• Gained hands-on experience with core data science tools including Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. • Performed data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation to extract actionable insights. • Completed a real-time capstone project on Customer Churn Prediction, analyzing customer behavior data to identify key churn indicators. • Built and compared predictive models including Logistic Regression, Decision Tree, and Random Forest Classifier, evaluating performance with accuracy, precision, recall, and F1-score. • Developed visual dashboards and reports to communicate insights, supporting business retention strategies. • Strengthened skills in supervised learning, predictive modeling, data visualization, and applied analytics in a professional setting.
CodeAlpha
May 20252 mosJun 2025

Lucknow, Uttar Pradesh, India

• Completed a virtual internship in Artificial Intelligence, gaining hands-on experience in AI and machine learning concepts. • Worked on real-world projects to strengthen foundational skills in AI, data processing, and predictive modeling. • Applied problem-solving techniques and collaborated effectively in a remote team environment. • Enhanced knowledge in data-driven decision-making and practical implementation of AI algorithms.

Education

Master of science, Applied Data Science

SRM Institute of science and technology Trichirappalli

Bachelor of Science - BS, Mathematics

Avvaiyar Government College for Women - India

20213 yrs2024

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Headline

Data Analyst | Discovering Patterns, Delivering Solutions | Data Analytics • Machine Learning • AI | Python • SQL • Power BI • Tableau • Excel | Statistics & Prompt Engineering | Open to Work

About

Data Analyst and M.Sc. Applied Data Science graduate with a strong foundation in Mathematics, Statistics, and data-driven problem solving. Passionate about transforming complex datasets into actionable insights that support business growth and strategic decision-making. Skilled in data analysis, visualization, machine learning, and business intelligence using Python, SQL, Power BI, Tableau, and Excel. Experienced in data cleaning, exploratory data analysis (EDA), dashboard development, predictive modeling, and statistical analysis. Hands-on experience through internships and projects involving Customer Churn Prediction, TruthLens – AI-Powered Fake News Detection, Sentiment Analysis, Object Detection, and interactive Power BI dashboards. These experiences have strengthened my ability to uncover patterns, solve real-world problems, and communicate insights effectively. My commitment to continuous learning is reflected through certifications in Artificial Intelligence, Data Visualization, and Google Cloud technologies. I enjoy working with data to discover meaningful trends, optimize processes, and create impactful solutions. 🔍 Discovering Patterns, Delivering Solutions. 📊 Technical Skills: Python | SQL | Power BI | Tableau | Excel | Pandas | NumPy | Scikit-learn | Machine Learning | Data Visualization | Statistics | Prompt Engineering 🚀 Open to opportunities in Data Analytics, Business Intelligence, Reporting Analytics, and Data Science.

Location

Karaikal

Work experience

Data Analytics at VDart Academy, Dec 2025 - Mar 2026 · 4 mos, Tiruchirappalli, Tamil Nadu, India, • Performed data cleaning, preprocessing, and exploratory data analysis on multiple real-world datasets to identify trends and patterns. • Developed interactive dashboards and visualizations using Python, Excel, and Power BI to present actionable insights to stakeholders. • Applied statistical analysis and basic machine learning techniques for predictive modeling and data-driven decision-making. • Collaborated on projects involving sentiment analysis, customer churn prediction, and trend analysis, enhancing problem-solving and analytical skills. • Gained hands-on experience in transforming raw data into meaningful insights for business applications.

Data science and Machine Learning at Zaalima Development Pvt. Ltd, Nov 2025 - Jan 2026 · 3 mos, Bengaluru, Karnataka, India, Completed intensive training and internship in Data Science & Machine Learning. Worked on data analysis, model building, and evaluation using Python, NumPy, Pandas, and Scikit-learn. Gained hands-on experience in building real-world ML projects and improving model performance.

Data Science and Analytics at The Developers Arena, Jul 2025 - Jan 2026 · 7 mos, Telangana, India, Completed the internship course with comprehensive training in both theoretical concepts and practical implementation. The course strengthened my technical skills and industry-oriented knowledge.

Data Science Intern at Net tel solutions india pvt ltd, May 2025 - Jun 2025 · 2 mos, Coimbatore, Tamil Nadu, India, • Gained hands-on experience with core data science tools including Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. • Performed data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation to extract actionable insights. • Completed a real-time capstone project on Customer Churn Prediction, analyzing customer behavior data to identify key churn indicators. • Built and compared predictive models including Logistic Regression, Decision Tree, and Random Forest Classifier, evaluating performance with accuracy, precision, recall, and F1-score. • Developed visual dashboards and reports to communicate insights, supporting business retention strategies. • Strengthened skills in supervised learning, predictive modeling, data visualization, and applied analytics in a professional setting.

Artificial Intelligence Intern at CodeAlpha, May 2025 - Jun 2025 · 2 mos, Lucknow, Uttar Pradesh, India, • Completed a virtual internship in Artificial Intelligence, gaining hands-on experience in AI and machine learning concepts. • Worked on real-world projects to strengthen foundational skills in AI, data processing, and predictive modeling. • Applied problem-solving techniques and collaborated effectively in a remote team environment. • Enhanced knowledge in data-driven decision-making and practical implementation of AI algorithms.

Education

Master of science, Applied Data Science, SRM Institute of science and technology Trichirappalli

Bachelor of Science - BS, Mathematics, Avvaiyar Government College for Women - India