Anik Pal

AI/ML and Data Science graduate skilled at turning raw, messy data into decision-ready insights. Comfortable working across relational (MySQL, PostgreSQL) and NoSQL/vector databases, building end-to-end pipelines, and communicating findings through clear visualizations (Matplotlib, Seaborn) and reports. Seeking an entry-level Data Analyst / Data Scientist / AIML related role where analytical rigor drives measurable business impact.

Machine Learning Intern - Afame Technologies

(2024-07 - 2024-08)

• Built a customer churn segmentation model (Logistic Regression, Random Forest), handling data cleaning, feature engineering, and evaluation via Scikit-Learn pipelines - raising prediction accuracy to 85%.
• Analyzed customer segments and attrition patterns, visualizing behavioral KPIs with Matplotlib and Seaborn to surface the key indicators driving churn for stakeholder review.

Data Science Intern - FeyNN Labs

(2024-08 - 2024-09)

• Built a multi-class career recommendation model predicting suitable paths from academic and behavioral data; benchmarked Decision Tree, Random Forest, and other classifiers via cross-validation.
• Cleaned and transformed raw student data - handling missing values and encoding categorical features - to produce an analysis-ready dataset, achieving 84% test accuracy.

B.Tech - Artificial Intelligence & Machine Learning - Netaji Subhash Engineering College, MAKAUT (2021 - 2025)

Class XII - CBSE - Upasana Academy (2019 - 2021)

Class X - CBSE - International Indian School, Jubail (2018 - 2019)