DMDilkhush Meena is a dedicated Data Scientist skilled in using analytical techniques and statistical modeling. He excels at extracting valuable insights from complex datasets, transforming raw data into actionable intelligence. His experience includes deploying deep learning technologies and developing predictive models to drive business improvements.
Experience
Data Analyst
The Smart Cube
Developed a model for product similarity using text descriptions, achieving a 91% cosine similarity score. Deployed deep learning technologies (BERT,LSTM) to boost revenue by £1.5 million through improved inventory management. Identified key features for self-checkout optimization, leading to a 6% reduction in manpower. Created 7 clusters of supermarkets using clustering to initiate promotions cost reduction trials.
Data Science intern
Roambee Corporation
Employed Ensemble Techniques, such as Random Forest Regression, to predict ETA for shipments, achieving an RMSE of 1.8 hours. Used Gradient-boosted decision trees to formulate a model for the Top-20 most Frequent Routes. Collaborated on preprocessing a dataset comprising 210 million rows for machine learning algorithms.
Education
IIT Roorkee
B.Tech
Chemical Engineering
Licenses & Certifications
Mathematics for Machine Learning
Imperial College London (Coursera)
Sequence Models
DeepLearning.AI (Coursera)
The Complete SQL Bootcamp
Udemy
Machine Learning A-Z™: Hands-On Python & R In Data Science
Udemy