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Data Analyst and AIML undergraduate with hands-on experience in SQL, Python, Excel, Tableau, and data visualization. Skilled in data cleaning, exploratory data analysis, dashboard creation, and predictive analytics, transforming raw data into actionable business insights. Interested in applying machine learning and analytics to customer behavior and business optimization problems. Active in building end-to-end projects including anomaly detection, churn prediction, and explainable AI dashboards.…Data Analyst and AIML undergraduate with hands-on experience in SQL, Python, Excel, Tableau, and data visualization. Skilled in data cleaning, exploratory data analysis, dashboard creation, and predictive analytics, transforming raw data into actionable business insights. Interested in applying machine learning and analytics to customer behavior and business optimization problems. Active in building end-to-end projects including anomaly detection, churn prediction, and explainable AI dashboards.

Roli Misra

Data Scientist, Data Analyst, Web Developer, +2

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Data Analyst and AIML undergraduate with hands-on experience in SQL, Python, Excel, Tableau, and data visualization. Skilled in data cleaning, exploratory data analysis, dashboard creation, and predictive analytics, transforming raw data into actionable business insights. Interested in applying machine learning and analytics to customer behavior and business optimization problems. Active in building end-to-end projects including anomaly detection, churn prediction, and explainable AI dashboards.…Data Analyst and AIML undergraduate with hands-on experience in SQL, Python, Excel, Tableau, and data visualization. Skilled in data cleaning, exploratory data analysis, dashboard creation, and predictive analytics, transforming raw data into actionable business insights. Interested in applying machine learning and analytics to customer behavior and business optimization problems. Active in building end-to-end projects including anomaly detection, churn prediction, and explainable AI dashboards.

Available to hire

Data Analyst and AIML undergraduate with hands-on experience in SQL, Python, Excel, Tableau, and data visualization. Skilled in data cleaning, exploratory data analysis, dashboard creation, and predictive analytics, transforming raw data into actionable business insights.

Interested in applying machine learning and analytics to customer behavior and business optimization problems. Active in building end-to-end projects including anomaly detection, churn prediction, and explainable AI dashboards.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Work Experience

Machine Learning Developer (Project-based)

January 1, 2026 - April 1, 2026

Developed a customer churn prediction model achieving 77% accuracy on 5K+ records. Performed data preprocessing, feature engineering, and model evaluation. Used Python libraries for analysis and prediction; focused on building reliable, data-driven churn insights.

Data Analyst Intern (Project-based)

February 1, 2025 - March 1, 2025

Built an anomaly detection pipeline using YOLOv8, ByteTrack & SImCLR on the UCFCrime dataset. Implemented an LSTM autoencoder combined with XGBoost for 5-level threat prediction using 136 engineered features. Developed behavioral features and risk scoring logic for pre-incident alerts. Delivered a Streamlit dashboard with live analytics and SHAP explanations for model interpretability.

Data Analyst / AIML Data Projects (Student Projects) at Self/Academic Projects

January 1, 2025 - Present

Built multiple end-to-end AI/ML projects involving data preparation, feature engineering, model training, evaluation, and explainability. Implemented an anomaly detection system using YOLOv8 with ByteTrack & SimCLR on the UCFCrime dataset and used an LSTM autoencoder with an XGBoost risk prediction component for 5-level threat prediction (136 features), including risk scoring and behavioral feature engineering for pre-incident alerts. Developed a customer churn prediction model achieving 77% accuracy on 5K+ records using data preprocessing, feature engineering, and model evaluation. Created Streamlit dashboards with live analytics and SHAP-based explainability for interpretable insights.