Katha Karthik Reddy

Data Scientist adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks. Possessing extensive analytical skills, strong attention to detail, and a significant ability to work in team environments. Involved in Python opensource community and passionate about deep learning.

Capstone Project-Detecting which all features contribute to the strength

• Domain: Cement Industry
• Data pre-processing,Feature Engineering, Feature Selection, Model Building, Model Evaluation, Model Selection, Model Deployment. Models considered: Decision Tree, Random Forest, KNN, SVM, Linear Regression, SVM, Lasso Regression, Ridge Regression, Ada Boost Regression, G Boost Regression.

Music Recommendation Engine- Spotify(Unsupervised Learning)

• Spotify Recommendation Engine for creating playlists based on user behaviour.
• Non-Negative Matrix Factorization (NFM) – For Decomposing data.
• Euclidian distance between users for predicting the top 5 users and top 5 songs heard.
• Evaluated using K-Means Clustering.

Consumer Behaviour analytics for KTM showroom for determining window shopping customer

• Preparation of Data for building classification model,built and tested- Logistic Regression, KNN, Naive Bayes, SVM.
• Evaluated model for best classification accuracy, identified key parameters’ leading to bike purchase
• Machine learning model for determining probability of purchase.

website Data Analysis of Xiaomi India Data Sample

• Descriptive analysis of data variables
• Website traffic analysis- day of the week effect
• Correlation study of variables like time spent, pages viewed, amount spent
• Forecasting using regression model.

Apple, I-pad pricing analytics model using Regression Techniques

• Determination of key influencers in I-pad price.
• Preparation of Data for multiple regression.
• Predictive analysis for determining price of new I-Pads.

Data Visualization Dashboard & Story Telling for Facebook Pixel and Google Ads Campaign data Implemented using Tableau 2022.2

• Prepared custom visualizations for replacement, weekday and daily view of Facebook Pixel Campaign data.
• Prepared custom visualizations for device, search type and daily view of Google Ads Campaign data.
• Forecasting the revenue of Facebook Pixel and Google Ads Campaign data.
• Different charts to study demography.

Name: Mr. Katha Karthik Reddy

Contact: 8374138533

Email id: karthik.jsmith.reddy@gmail.com

Place, Date of Birth: Hyderabad,24/03/1993

Martial Status: Single

Hobbies: Reading,Playing Football,Forex Trading.