Jayam Gupta

Results-driven Data Scientist with experience at Incedo, specializing in Adobe Analytics and API development. Proficient in Python and SQL, I excel in data analysis and visualization, delivering actionable insights. Adept at collaborating with stakeholders, I optimize data processes to enhance performance and ensure data quality, driving impactful business decisions.

• Intro to Deep Learning – Kaggle: Learned to build and train neural networks using TensorFlow and Keras, covering key concepts like SGD, overfitting, dropout, and binary classification. Gained hands-on experience with structured data using deep neural networks and best practices for model optimization.
• Intermediate Machine Learning - Kaggle - Developed skills in handling missing values, managing categorical data, building pipelines, applying cross-validation, using XGBoost for high accuracy, and identifying data leakage for improved model reliability.
• Intro to Machine Learning - Kaggle - Gained foundational knowledge in machine learning, including data exploration, model building, validation, tuning, random forests, and competition-based skill enhancement.
• Pandas - Kaggle - Learned essential data handling skills, including reading/writing data, indexing, summarizing, grouping, managing data types and missing values, and merging datasets for comprehensive analysis.
• The Data Scientist's Toolbox - Coursera - Gained skills in setting up R, R-Studio, and GitHub, understanding data analysis tools and problems, explaining study design concepts, and file handling.
• Python Data Structures - Coursera - Learned principles of data structures, file handling, etc.
• Snowflake SnowPro Core Certification - Gained expertise in Snowflake data loading, performance optimization, DDL/DML queries, data handling, cloning, time travel, and account management.
• AWS Cloud Practitioner - Learnt foundational knowledge of AWS Cloud services, concepts, and terminology.

Movie Recommendation System - Built a movie recommender using a dataset of over 4500 movies. Used TF-IDF Vectorizer the recommender can find movies most similar to the movie entered by the user. Used algorithm of IMDB to determine the top-rated movies., 

FIFA 19 Exploratory Data Analysis - Performed EDA on FIFA 19 game dataset to ascertain insightful inferences.