Kishore Chandra Uppada

About Kishore Chandra Uppada

Hello and welcome to my LinkedIn profile! I am an experienced professional with a strong background in Analytics and Edu-Tech. My skills include SQL, Python, Data Analysis, and Machine Learning. I have a proven track record of success in giving the right insights and helping businesses with data-driven decisions, and I am passionate about solving problems, analyzing data, and helping organizations make data-driven decisions.My technical skills include:Database management (MySQL, PostgreSQL, SQLAlchemy, Big Query), Programming languages (C, Python, MATLAB), Backend development (Flask, ORM, Streamlit), Frontend development (HTML, JS(Basics), CSS, Bootstrap), Data analysis (Tableau, Numpy, Pandas, Seaborn, Matplotlib, Statistical Analysis, Statistical Testing(Hypothesis- T-Test, Z-Test, Chi-Squared Test), Ability to make a story out of numbers).Additionally, I have experience in Machine Learning with a focus on Classification- Logistic Regression, SVM, Decision Tree, Random Forest, Regression - Linear and Polynomial Regression, Natural Language Processing - Text Processing, and Computer Vision - Image Recognition. My data engineering skills include Feature Engineering, File Handling, Web Scraping, Data transformation, and Loading.In addition to my technical skills, I also possess excellent management skills, including interactive training, problem-solving, project management, and planning. I am confident that I can bring value to any organization that I work with.Thank you for visiting my profile, and please feel free to connect with me if you think I can be of any assistance.

Experience

1. Sr Operations Research Analyst

   Bread Financial

   Jun 2023 — Present · Bengaluru, IN

   Design and deployment monitoring projects across the teams, each tailored to unique data complexity, customer requirements, and business KPIs, ensuring continuous daily performance monitoring and reliability.Contributing to the development and enhancement of the core proprietary monitoring application, leveraging PySpark, R, and Spark SQL, and integrating the X-bar function from R’s QCC model to calculate control limits and generate automated alerts. Incorporated with sampling factors such as recency, trend sensitivity, and violation patterns to improve anomaly detection accuracy.Automated data extraction pipelines for Dataiku workflows by parsing raw RowNet reports (text format) using regex and built-in Dataiku functionalities, enabling accurate data transformation and report generation.Lead multiple data audit initiatives for Dataiku pipelines.Mentoring and on-boarding the new joiners as a technical buddy and providing hands-on guidance in data engineering, workflow optimisation, and best coding practices within analytics projects.

Education

• Sri Venkateswara University

  Master's degree, Industrial Engineering

• Rajiv Gandhi University of Knowledge Technologies, RKValley (RAC)

  Bachelor of Technology - BTech, Mechanical Engineering

Skills

• Matlab
• Microsoft Office
• Vb.net
• Python
• Latex
• Autocad Mechanical
• Creo
• Abaqus
• Solidworks