Kapil Jain

About Kapil Jain

7 years experience, as a meticulous and result-oriented Mainframe Developer, gained hands-on experience in designing, implementing, and installing software solutions and developing high-quality software designs and architecture. Proficient in interacting with clients and management. Multiple appreciations from customers for the timely execution of development and enhancements. Proactive in problem-solving, troubleshooting, debugging, requirement gathering, and writing technical documents. Pursuing an \'Executive PG Program in Machine Learning & Artificial intelligence from Bangalore & upGrad Education\' and gaining hands-on experience in many data science projects. Proficient in Agile and DevOps methodology. Key Skills:• Machine Learning Methodologies • Optimization Techniques • Predictive & Statistical Modelling • Data Analysis • Data Visualization Techniques • Project Delivery • Programming • Process Improvement • Feature Engineering and selection • Hypothesis testing • Team Coordination & Leadership • Debugging Technical Skills:• Languages: Python, SQL, COBOL, JCL, DB2• Packages: SciKit-Learn, NumPy, SciPy, Pandas, Matplotlib, Seaborn, Tensorflow, Keras, OpenCV, PILSupervised Machine Learning: Linear/Logistic Regression, Naive Bayes, Regularization(Ridge and Lasso), Support Vector Machine(SVM), Decision Tree, Ensemble and Random Forest, Adaboost Boosting, Gradient Boosting, Extreme Gradient Boosting• Unsupervised Machine Learning: Clustering, K means clustering, Hierarchical clustering, K mode clustering, K prototype clustering, Principal component analysis(PCA)• Deep Learning and Natural language processing: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Transfer Learning, Recurrent Neural Network (RNN), Long Short Term Memory(LSTM), Bidirectional LSTM, Gated recurrent unit (GRU), Natural Language Toolkit (NLTK), word embeddings Projects Undertaken: Gesture Recognition: Create a 3D convolution model that identifies the 5 gestures with considerable accuracy Part of Speech(POS) Tagging: Classifying words into their parts of speech using NLTK library which contains word and its POS tag Telecom Churn case study: Many telecom operators face customer churn problems so build an ML model which can predict if the customer will churn or not in a particular month based on the past data House Price Prediction: Build a regression model using regularization to predict the actual value of the prospective properties and decide whether to invest in them or not

Experience

1. Specialist - Software Engineering

   LTIMindtree

   Jul 2025 — Present · Pune, IN

   HSBC Software Development (India) Private Limited Client

Education

• R.C. Maruti High School

  Secondary School Certificate(SSC)

• Thakur College of Engineering & Technology

  Bachelor of Engineering - BE, Electronics engineering

  2014 — 2018

• Bhavans College

  Higher Secondary Certificate, Science

• International Institute of Information Technology Bangalore

  Executive PG Programme in Machine Learning & AI from Upgrad and IIIT-Banglore, Machine Learning and Artificial Intelligence