Cyril Anand

I’ve developed a strong interest in Data Science, particularly in using statistics and machine learning to solve practical business problems. I’m comfortable working with Python and SQL, and my experience includes machine learning, statistical analysis, NLP, feature engineering, and model evaluation.

I also had the opportunity to work as an AI Intern at NoviTech R&D, where I worked on machine learning prototypes using models such as Logistic Regression, SVM, and LSTM. I also worked on automating ETL workflows and optimizing ML pipelines, which helped reduce manual data-processing effort and computation time.

Alongside my internship, I’ve worked on projects such as an AI Drift Detection System, where I used techniques like PCA, KS Test, and PSI to detect distribution shifts and designed automated retraining triggers. I also built an NLP-based smishing detection system using LSTM and Logistic Regression, where I worked with more than 50,000 SMS messages and addressed class imbalance through threshold tuning and class weights.

What I enjoy most about Data Science is not just building models, but understanding the data, identifying the right problem, and using statistical and machine learning techniques to arrive at a meaningful solution.

I’m now looking for an opportunity where I can apply these skills to real-world problems, learn from experienced teams, and contribute from day one.