Data Analyst • Data Scientist • AIML Engineer
Kolkata, India
#OpenToWorkAI/ML and Data Science graduate skilled at turning raw, messy data into decision-ready insights. Hands-on experience with SQL and Python (Pandas, NumPy) for data cleaning, ETL, and analysis, and with Scikit-Learn/TensorFlow for churn prediction, customer segmentation, and forecasting. 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.
I am looking for entry-level roles in AI/ML, Machine Learning Engineering, Data Science, or AI Engineering, where I can apply my skills in Python, machine learning, deep learning, LLMs, and model deployment. I am particularly interested in opportunities that provide hands-on experience working on real-world AI/ML projects and allow me to contribute to building and deploying intelligent solutions.
FeyNN Labs
• 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.
Afame Technologies
• 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.
B.Tech · Artificial Intelligence & Machine Learning
