Karnsinh Chikane
Development
Maharashtra, India
Skills
Machine Learning (ML)
About
The candidate's skills align with Programmers (Information and Communication Technology). The candidate also has skills associated with Database Specialists (Information and Communication Technology). The candidate appears to be a low-to-mid level candidate, with 2 years of experience.
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Work Experience
INFOSYS
May 2022 - August 2023
- (9 MAY 2022 TO 10 AUG 2023) EMPLOYEE PERFORMANCE ANALYSIS Contributed in development and deployment of Machine Learning Model in production environment which predict performance of employees. Analyzed huge dataset, Implemented exploratory data analysis (EDA) and feature engineering for efficient workflow. Designed and Implemented ML operations pipelines ensuring seamless Data Ingestion, Data Validation, Data Transformation, Model Training and Model Evaluation for controlled & continuous enhancement. Integrated MLflow to track and manage experiments, logged parameters, code versions, and metrics during model training facilitating collaboration. Implemented Data Version Control (DVC) to track changes in data, ensuring traceability and reproducibility in the machine learning pipeline. Created Docker files for containerization, ensuring consistent and reproducible environments for the machine learning model. Performed DevOps role by designing and implementing Continuous Integration Continuous Deployment (CI/CD) pipeline and deployed on AWS using Production Grade Technique using ECR & EC2 instances.
PAWANSOOT GLOBAL SOLUTIONS
January 2021 - December 2021
- SUPER MART MANAGEMENT SYSTEM Contributed significantly to the development of a comprehensive Super Mart Management System, encompassing features like product management, order placement, and order validation Implemented robust three-tier architecture, comprising front-end, back-end, and database components, ensuring a scalable and efficient system. Leveraged a technology stack including: o Front-End Development: HTML for structuring, CSS for styling and layout design JavaScript for interactive and dynamic interfaces. o Back-End Development: Python Flask for building a scalable and efficient back-end. o Database Management: MySQL for structured and reliable data storage. Demonstrated proficiency in building end-to-end software systems tailored for corporate environments, emphasizing reliability and functionality. SALES PREDICTIONS & CUSTOMER SEGMENTATION Spearheaded the end-to-end development MLOPs lifecycle of a robust Machine Learning Model focused on predicting sales and customer segmentation. Conducted comprehensive data preprocessing, cleaning, scaling, and feature engineering, ensuring superior data quality for precise customer segmentation and sales analysis. Applied advanced techniques, including the K Means Clustering Algorithm, to identify and define distinct customer segments, gaining valuable insights into their characteristics and needs. Employed XGBoost for Regression to develop a predictive model capable of accurate sales forecasting, contributing to data-driven decision-making processes. Developed advanced predictive models aimed at forecasting both customer behavior and sales future trends and patterns for the Mart, providing valuable insights for strategic decision-making and targeted customer engagement. Successfully deployed the solution on Microsoft Azure, leveraging cloud technology to ensure scalability, reliability, and accessibility in a production environment.
Education
Bachelor of Engineering
