Racky Kumar

Analytical professional with technical knowledge and critical thinking skills to thrive in data-driven environments. Tackles challenges with positivity and drive to overcome. Works great alone or with others and consistently exceeds expectations.

• Solved Kaggle Problems: Product Launch Challenge, Heritage Health Prize.
• Blogging on Data Science and its applications.

• Blogging on Data Science topics varying from conventional Statistics to upcoming Machine Learning models.
• Working on Kaggle Problems: Music Hackathon, Retail Industry.
• Writing a Science Fiction Story about future Predictive Analytics and Computer Technology.
• Working on publishing a package in Python. The function performs multi-level split of data with factor levels as criteria.

• Certified Full Stack Data Science, Almabetter - 2023
• Python(Programming Language), Almabetter- 2022
• Analytics Framework(Advanced Excel, SQL, Tableau), Almabetter-2022
• Statistics, Great Learning- 2022
• Advanced Machine Learning, Almabetter - 2022

Almabetter, Bangalore, India

· Objective: Predicting Customer Churn and Customer Revenue, Bike Sharing demand Prediction, Bank marketing effectiveness prediction and Zomato Clustering & sentiment analysis

· Techniques: R, Excel, Machine Learning, Statistics

·  Exploration and Visualization of Data.

• Pre- Processing of Data.
• Logic for Dividing Test and Train sets.
• Built Statistical & Generative Models: Logistic Regression, Naïve Bayes.
• Built Machine Learning Models: Decision Trees, Random Forest, KNN, SVM, Neural Network K means Clustering and Ensemble of Models.
• Error Metric: Recall. Implemented ways to improve accuracy and at the same time not over fit the model.