Kushank Jain

About Kushank Jain

I am a Computer Science graduate specializing in Artificial Intelligence and Machine Learning, currently working as a Systems Engineer at Infosys. I am passionate about building data-driven systems that transform raw data into actionable insights and intelligent solutions.My work and training focus on Data Science, Machine Learning, and AI-driven applications, where I apply statistical analysis, data preprocessing, and predictive modeling to solve real-world problems. I have hands-on experience working with Python, Pandas, NumPy, Scikit-Learn, Matplotlib, and Seaborn for data analysis, model development, and visualization.I enjoy working across the full lifecycle of machine learning projects — from exploratory data analysis and feature engineering to model training, evaluation, and optimization. I have built models using techniques such as Regression, Decision Trees, Random Forest, and classification algorithms, and I am continuously improving my understanding of model evaluation, cross-validation, and performance optimization.I am also exploring Natural Language Processing and Large Language Model applications, including Retrieval-Augmented Generation (RAG) systems to build context-aware AI tools.With a strong foundation in software development and machine learning, my goal is to bridge the gap between intelligent algorithms and scalable real-world applications. Areas of Interest:Data Science | Machine Learning | Artificial Intelligence | NLP | LLM Applications Technical Skills:Python | Pandas | NumPy | Scikit-Learn | Matplotlib | Seaborn | Machine Learning | Data Analysis | Data VisualizationI am always open to collaborating on data science projects, learning from industry professionals, and exploring opportunities to apply AI to meaningful real-world challenges.

Experience

1. System Engineer

   Infosys

   Dec 2025 — Present · Mysuru, IN

   Selected for Data Science Stream Training as part of the Infosys training program.Learning and applying concepts in Data Analysis, Machine Learning, and Data Visualization.Working with tools such as Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.Building and evaluating machine learning models using techniques like regression, classification, and cross-validation.Performing data preprocessing, feature engineering, and exploratory data analysis (EDA).

Education

• Shardashram Vidyamandir Jr College of Science

  12th, Science

  2020 — 2021

• Orchids The International School, Mumbai

  10th

  2018 — 2019

• VIT-AP University

  Bachelor of Technology - BTech, Computer Science

  2021 — 2025