Hello, my name is

Jitendra Gaherwar.

I transform data into insights.

I am a passionate B.Tech IT student specializing in data science. I leverage machine learning, NLP, and data visualization to uncover actionable intelligence and build innovative, data-driven solutions.

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Jitendra Gaherwar

About Me

I am a dedicated and aspiring Data Scientist currently pursuing a B.Tech in Information Technology from Priyadarshini College of Engineering. My core interest lies in leveraging data to drive decision-making and create innovative solutions. With a strong foundation in Python, SQL, and various data science libraries, I am adept at transforming complex datasets into clear and actionable insights.

I have hands-on experience in machine learning, natural language processing (NLP), and creating compelling data visualizations with tools like Tableau and Power BI. I am actively seeking a paid internship where I can apply my skills to real-world challenges and contribute to impactful projects.

Core Technologies:

  • Python
  • SQL
  • Deep Learning
  • NLP
  • Pandas
  • Numpy
  • Scikit-Learn
  • Matplotlib
  • Seaborn
  • Tableau
  • Power BI
  • Git & GitHub

Experience

Data Scientist Intern

Unified Mentors | Remote

August 2025

Gained real-world project experience in a live learning environment. Applied data science techniques to solve problems, bridging the gap between academic knowledge and industry application.

Data Analyst Intern

The Warriors Way (Pantech Solution) | Remote

June 2025 - July 2025

Contributed to projects at a leading technical solutions provider. Focused on creating interactive dashboards to improve data visualization and decision-making efficiency for various business cases.

Featured Projects

Supermart Grocery Sales

Analyzed 12,000+ transactions using Python and Tableau to identify product and seasonal sales patterns, proposing inventory optimization strategies.

  • Python
  • Tableau
  • Pandas
YouTube Performance Analysis

Performed regression analysis on video metadata to predict view counts, providing data-driven insights that boosted views by 30%.

  • Python
  • Scikit-Learn
  • Seaborn
Uber Demand Prediction

Developed a predictive model for Uber trip durations with an R² of 0.85, helping to forecast ride demand and improve operational efficiency.

  • Python
  • Machine Learning

Get In Touch

I'm currently seeking new opportunities and my inbox is always open. Whether you have a question, a project idea, or just want to connect, feel free to reach out!

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