Ujjwal Kumar

About Ujjwal Kumar

Analytical professional with a passion for delivering end-to-end analysis that drives meaningful insights and contributes to the success of business objectives. Independently tackle complex problems, leveraging a strong problem-solving mindset. Proficient in a variety of analytical tools including Python, SQL, and MS-Excel, I employ these tools to conduct comprehensive analysis and extract actionable conclusions. Using tools like Power-BI, I create visually appealing data visualizations and create attractive Dashboard that effectively communicate complex information to stakeholders. Collaborative by nature, I thrive on working with cross-functional teams, actively gathering and analyzing data to provide valuable insights. Effective communication is essential in my work, and I excel in both written and communication skills. I am passionate about translating complex technical concepts into easily understandable terms for diverse audiences. If you are seeking a dedicated Data Analyst who can transform data into actionable solutions, let\'s connect. I am eager to contribute my skills and thrive impactful outcomes for the Projects.

Experience

1. Data Analyst

   Labmentix

   Mar 2025 — Present · Bengaluru, IN

   Project 1 - Airbnb Capstone ProjectsTools: PYTHON(Pandas, NumPy, Matplotlib, Seaborn)[MACHINE LEARNING ALGORITHMS, Tableau] IDE - JUPYTER Notebook, Tableau• This project is an exploratory data analysis (EDA) of Airbnb listings in New York City for 2019.• It focuses on uncovering key metrics that influence property listings, such as pricing, room types, and host activity.• The analysis explores trends across neighborhoods, identifying top hosts, popular room types, and guest preferences.• Visualizations help understand patterns in availability, turnover, and listing names.• Key insights include Manhattan\'s dominance, high demand for entire homes, and standout hosts like Sonder (NYC).Project 2 - FedEx Logistics Performance Analysis Tools: PYTHON(Pandas, NumPy, Matplotlib, Seaborn)[EDA Process, Power-BI] IDE - JUPYTER Notebook, Power-BIProject Summary -• The project analyzes Fed-Ex Logistics\' operational performance to identify inefficiencies and improvement areas.• It uses key metrics such as order processing time, delivery timelines, vehicle utilization, and customer satisfaction.• It uses key metrics such as order processing time, delivery timelines, vehicle utilization, and customer satisfaction.• Through data visualization and KPI tracking, the study highlights performance gaps and optimization opportunities.• The ultimate goal is to enhance logistics efficiency, reduce costs, and improve service quality.

Education

• Patna University

  Bachelor's of Computer Application

  2020 — 2023

• GL Bajaj Institute of Technology and Management

  Master of Business Administration - MBA

  2023