Mohit Malviya

Machine Learning Intern

Afame Technologies•  April 2024 - May 2024•  Remote

Designed and implemented various machine learning models, including regression, classification, and clustering, to solve real-world business problems. Conducted thorough EDA to uncover insights, patterns, and relationships in large datasets, which informed model selection and feature engineering. Created new features from existing data to improve model performance, applying domain knowledge and advanced statistical techniques.

Deep Learning Trainee

Cipher Schools•  June 2021 - July 2021•  Remote

Developed and implemented basic Artificial Neural Network (ANN) architectures for tasks like handwriting recognition. Gained expertise in Convolutional Neural Networks (CNNs) for image recognition tasks like object recognition. Utilized supervised learning techniques like classification and regression to solve problems like predicting customer churn.

Fundamentals of AI/ML Trainee

Upgrad•  May 2020 - March 2021•  Remote

Utilized Exploratory Data Analysis (EDA) techniques with tools like Pandas, Numpy to understand data distribution, patterns, and identify potential anomalies. Performed data cleaning and pre-processing tasks such as handling missing values, outliers, and data normalization to prepare data for machine learning models. Gained proficiency in querying data using SQL for effective data retrieval and manipulation.