Anamika

Data Analyst and aspiring Machine Learning Engineer with hands-on experience building end-to-end analytics and ML solutions, including a customer churn prediction system, a healthcare disease-prediction application, and a climate-health analytics dashboard. Skilled in Python, SQL, Power BI, and Scikit-learn based machine learning, with a strong foundation in data cleaning, feature engineering, model evaluation, and dashboard storytelling. Currently pursuing an MCA at Sikkim Manipal Institute of Technology after completing a BCA with an 8.16 CGPA.

Seeking a Data Analyst or entry-level Machine Learning Engineer role to apply analytical and predictive-modelling skills to real business problems.

Data Analyst Intern - Techno Exponent

(2026-02 - 2026-06)

• Designed and built a customer churn analytics system for a music subscription platform, applying classification models to predict churn and identify key at-risk subscriber segments.
• Performed data cleaning, transformation, feature engineering, and DAX-based calculations to convert raw subscription data into actionable retention insights.
• Addressed class imbalance in the training dataset to improve churn model reliability and reduce prediction bias.
• Developed a Flask + MySQL admin portal enabling real-time churn prediction and risk scoring for business stakeholders.
• Built an interactive Power BI dashboard to visualize churn trends and risk segments, supporting data-driven retention strategy.

Master of Computer Application - Sikkim Manipal Institute of Technology (2024-08 - 2026-07)

Bachelor of Computer Application - Cimage Group of Institutions (2021-08 - 2024-08)