Chandra Kanth
Data Scientist | AI, ML, and Data Analytics | Storyteller with Data
- Role
- Data Scientist at Fidelity Investments
- Location
- Houston, TX, US
- LinkedIn followers
- 500 followers
About Chandra Kanth
Dedicated and efficient Java developer with hands-on experience in the development of web application technology back end and database application. I am a passionate and highly responsible young professional with Strong abilities in all phases of the SDLC, including requirements gathering and analysis, design specifications, programming, testing, and implementation. Excellent collaborative, interpersonal, and communication abilities to encourage cross-functional cooperation and knowledge sharing in a collegial team environment to achieve consistent project excellence and user satisfaction.
Experience
Data Scientist
Jan 2023 — Present · Boston, MA, US
Developed classication algorithms such as Linear Regression, Logistic Regression, K-NN, Random Forest and decision trees to predict customer churn and deployed the model on Cloud using AWS. Performed statistical analysis, data preprocessing and developed machine learning models to predict customer spend using Logistic regression, KNN, decision trees, random forest, and XGboost. Built a recommender system for products using python to improve user experience and sales for business. Built a neural network model to classify product images using tensorow,keras and deployed the model on cloud using GCP. Developed NLP models for Sentiment Analysis, text classication using python and Azure. Productionized machine learning pipelines for preparing, building, training, and deploying AI models using AWS, GCP and Azure. Analysed sales data for a retail business using data analytics and artificial intelligence techniques and extracted insights from data using Tableau. Identied inefficiencies and recommended a supply chain strategy to reduce costs and increase revenue.
Education
Southeast Missouri State University
Master's, Applied Computer Science, 3.6
Lovely Professional University
Bachelor's degree, Computer Science, 3.17/4
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