Siddhant Srivastava's Linkedin Analytics

As a certified AI/ML professional with a Mechanical Engineering foundation, I’ve spent the past few years applying advanced analytics and machine learning to solve real-world problems across industries. Whether it's building predictive models, optimizing decision systems, or crafting deep learning applications, I combine technical rigor with business insight to deliver measurable impact. My goal is to make complex data understandable and actionable — transforming raw inputs into intelligent solutions that drive growth and innovation. Key Highlights from My AI/ML Journey: Counterfeit Medicine Sales Prediction: Built a multi-model regression framework (Linear, Decision Tree, Random Forest) with hyperparameter tuning and RMSE optimization to detect anomalies in pharma sales trends. Caravan Insurance Policy Prediction: Tackled class imbalance using SMOTE and optimized Random Forest and XGBoost models with GridSearchCV to boost policy uptake prediction accuracy. Employee Attrition Forecasting: Applied logistic regression and random forest models in R, tuning thresholds via Youden’s J and F1 to support strategic HR decisions with precise risk identification. Image Captioning with Deep Learning: Engineered a CNN-RNN pipeline on the Flickr dataset for automated, context-aware image description using TensorFlow. Music Genre Classification: Used MFCC, chroma, and spectral features with Librosa and trained ML & deep learning models to classify multi-class genres with high accuracy. If you're looking for someone who can bridge the gap between complex models and real-world outcomes — whether it's for a project, collaboration, or opportunity in AI, ML, or GenAI — feel free to connect or reach out directly. Email: [email protected]