Focus : Data Analysis ,Machine Learning, Deep Learning
Specifications : Machine Learning , Data Analysis
Skills
Python, Excel, Machine Learning, SQL, Power BI, IBM SPSS, Java, R Programming, SAS,Languages
English, Malayalam, Hindi, Tamil,Hobbies
Football , Music , Podcasts
Summary
Arun M is currently pursuing an MSc in Data Science from Christ University, Lavasa campus. With a strong foundation in data analytics and machine learning, Arun recently completed an internship as an HR Analyst at Bajaj Allianz General Insurance, where they gained valuable experience in data analysis and reporting. Throughout their academic and professional journey, Arun has worked on various projects, including a recent one focused on NLP Sentiment Analysis using emotion detection. They are proficient in a robust tech stack that includes Python, Excel, SQL, Power BI, Machine Learning, and Web Development. Arun is passionate about leveraging data to drive decision-making and is eager to contribute to impactful data science initiatives.
Education History
Internships
- Utilized advanced Excel functions and developed custom macros to streamline HR data management processes, ensuring efficient and accurate data handling.
- Designed and built interactive dashboards to visually represent HR metrics, facilitating data-driven decision-making and enhancing stakeholder presentations.
- Created comprehensive reports and presentations, showcasing HR insights and trends, and effectively communicated findings to management and team members
- Developed and implemented machine learning models to analyze text data, accurately detecting emotions and classifying sentiments as positive, negative, or neutral.
- Applied natural language processing (NLP) techniques, including tokenization, stemming, and vectorization, to pre-process and analyze large datasets for emotion detection.
- Refined machine learning models, including Logistic Regression and CNNs, to improve prediction accuracy, and employed evaluation metrics such as accuracy, precision-recall, and AUC-ROC to measure and validate model performance.
Projects
- Farm Kit helps farmers choose the best crops for each season using environmental and historical data.
- Accurate rainfall predictions enable better irrigation planning, conserving water and improving crop health.
- Built on a Flask server, Farm Kit uses machine learning algorithms like Decision Trees and SVM for predictions.
- Aligned with SDG 4 to promote inclusive and equitable education, aiming to reduce learning disparities and enhance global access to quality education.
- Utilized machine learning models, including Decision Trees and SVM, and deployed on a Flask server to provide scalable educational solutions.
- Analyzed cafe preferences at Christ University, Lavasa using Exploratory Data Analysis (EDA) and Python to understand student tastes and preferences.
- Used Exploratory Data Analysis (EDA) and Python to optimize food offerings, resulting in enhanced customer satisfaction and increased retention at the cafe