Aniruddh Mallya

Detail-oriented, organized and meticulous employee. Experienced in troubleshooting and debugging for resolving complex technical issues. Possess great interpersonal skills, excellent time management and problem-solving skills. Hardworking and willing to help achieve team goals. Keen on contributing to company's success.

• Built univariate and multivariate linear regression models using scikit-learn. Performed Exploratory Data Analysis (EDA) and data
  visualization with seaborn and finally evaluated model fit and accuracy using numerical measures such as R² and RMSE.
• Pre-processed raw data from diverse sources, ensuring data quality and consistency. Conducted feature engineering to extract
  relevant features and improve model performance, increasing prediction accuracy by 15%.
• Applied machine learning techniques to address real-world business challenges and employed cross-validation techniques to
  assess model performance and fine-tuned hyper-parameters for optimal results.
• Collected dataset from an Eye Clinic. Used Decision Trees and K-Means Machine Learning techniques to classify datasets and compared results to solve underlying problem statement.
• Analyzed and solved underlying problem statement on Big Data (US flights) using SQL and Apache Hive.
• Developed 2D gaming applications - Pong, Space Wars, Black Jack and Hangman, using simplegui Python library on CodeSkulptor.

• Felicitated by Dr. Ranjan Pai on behalf of Manipal Academy of Higher Education (MAHE), on the occasion of it's Founder's day held on 30th April
  2019, for being top 1% performer in MAHE entrance exam.
• Awarded 50% fee waiver throughout the four years of my Bachelor's for maintaining CGPA above 8.5