AI/ML Engineer - Data Intern at Kalanjiam Enterprises

Supported the development of dashboards and machine learning pipelines for churn prediction. Worked asynchronously and effectively communicated findings with non-technical stakeholders. Gained practical experience in using Power BI and Power Query alongside Python models.

Data Analyst | Data Scientist | Data Engineer at Kalanjiam Enterprises

Built over 12 end-to-end Power BI dashboards using DAX, time intelligence, and drill-throughs to support executive and operational decision-making. Designed and maintained ETL pipelines automating data ingestion and transformation from multiple sources. Developed machine learning models for churn prediction and sentiment analysis achieving up to 85% accuracy. Improved query efficiency in SQL environments, reducing reporting errors by 40%. Integrated Azure services for real-time Power BI data refresh, cutting dashboard latency by 50%. Collaborated with stakeholders to define KPIs and translate requirements into BI solutions. Mentored junior interns on Python scripting, query optimization, and visualization best practices.

AI/ML Engineer - Data Intern at 6 Kalanjiam Enterprises

Developed and evaluated predictive ML models including logistic regression, decision trees, and SVM for internal business operations. Built a customer churn prediction model achieving over 85% accuracy using scikit-learn. Preprocessed and labeled real-world datasets by removing noise, handling imbalances (SMOTE), and encoding categorical variables. Conducted NLP-based sentiment analysis using NLTK on thousands of product reviews to extract customer feedback insights. Integrated model outputs into Power BI dashboards to visually represent predictions for non-technical stakeholders. Collaborated with analysts and engineers to automate the ML pipeline from data ingestion to final reporting.

Data Analyst | Data Scientist | Data Engineer at Kalanjiam Enterprises

Solved real-world business challenges by designing and deploying machine learning models such as churn prediction and sentiment analysis, improving decision-making accuracy up to 85%. Conducted extensive exploratory data analysis (EDA) to uncover consumer behavior trends and optimize feature engineering, leading to more robust models and actionable insights. Collaborated with cross-functional teams to define data requirements, extract complex datasets from SQL databases, and ensure data integrity for seamless model development and reporting. Developed and maintained 12+ interactive dashboards using Power BI and Tableau, enabling real-time monitoring of KPIs and trading metrics.

SQL Developer - Data Intern at Kalanjiam Enterprises

Designed and optimized backend SQL queries powering analytics and client-facing dashboards. Built stored procedures and APIs enabling integration between databases and reporting platforms. Implemented role-based access control and secure data sets to support user management and data privacy. Reduced average report runtimes by 40% through indexing, partitioning, and query plan optimization. Collaborated with BI to ensure backend scalability for client and admin portals. Contributed to Data Warehouse Query Automation and Data Cleaning & Integrity Check projects using SSMS, MySQL, and Python.

SQL Developer - Data Intern at Kalanjiam Enterprises

Designed and optimized backend SQL queries powering analytics and client-facing dashboards. Built stored procedures and APIs enabling integration between databases and reporting platforms. Supported role-based access by developing schema-level permissions and secure data sets.

SQL Developer - Data Intern at Kalanjiam Enterprises

Designed and optimized backend SQL queries powering analytics and client-facing dashboards. Built stored procedures and APIs enabling integration between databases and reporting platforms. Supported role-based access by developing schema-level permissions and secured data sets. Reduced average report runtimes by 40% through indexing, partitioning, and optimized query plans. Collaborated with BI team to ensure backend scalability for client and admin portals.

Designed and optimized backend SQL queries powering analytics and client-facing dashboards.

SQL Developer - Data Intern at Kalanjiam Enterprises

Designed and optimized backend SQL queries powering analytics and client-facing dashboards. Built stored procedures and APIs enabling integration between databases and reporting platforms. Implemented role-based access controls and secure data schemas. Reduced average report runtimes by 40% through indexing, partitioning, and optimized query plans. Collaborated with BI teams to ensure backend scalability for client and admin portals.

Data Analyst | Data Scientist | Data Engineer at Kalanjiam Enterprises

Built predictive ML models (logistic regression, decision trees, SVM) for internal business use, achieving 85%+ accuracy on a customer churn prediction task. Preprocessed and labeled large datasets, addressing class imbalance with SMOTE and one-hot encoding of categorical variables. Conducted NLP-based sentiment analysis on 10,000+ product reviews using NLTK to provide actionable product insights. Integrated AI model outputs into Power BI dashboards to help non-technical stakeholders interpret results. Collaborated on automating the end-to-end ML pipeline from data ingestion to reporting, enabling faster decision-making.

Built predictive ML models (logistic regression, decision trees, SVM) for internal business use; developed a customer churn prediction model achieving 85%+ accuracy; preprocessed and labeled large datasets with SMOTE and encoding of categorical variables; conducted NLP-based sentiment analysis on 10,000+ product reviews using NLTK with actionable insights; integrated AI model outputs into Power BI dashboards for non-technical stakeholders; collaborated to automate the end-to-end ML pipeline from data ingestion to reporting.