Name: Ajeet Dubey

Job Role: Junior Data Analyst

Experience: 0 Years 6 Months

Address: Vapi, India

Skills

SQL 95%
Power BI 90%
PYTHON 85%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 90%

About

About Me

With over 6 months of experience in AI/ML WBL Internship at the National Institute of Electronics and Information Technology (NIELIT) in the field of data science & analytics, accompanied by a bachelor's degree in engineering. Proficient in data analysis, statistical analysis, Data Wrangling, customer behaviour analysis, & machine learning. Successfully led data-driven projects and provided insightful Visualization, driving impactful results and fostering a collaborative analytical environment..

  • Profile: Data Analyst
  • Domain: Retail and E-commerce, Healthcare Analytics & Human Resources
  • Education: Bachelor of Engineering
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI, & Tableau
  • Other Skills: SQL, Python, Advance Excel, Machine Learning, Google Analytics & SEO
  • Interest: Traveling, Innovative, OutDoor Games

0 +   Projects completed

LinkedIn

Resume

Resume

Junior Data Analyst with a strong foundation in data science, statistical analysis, and machine learning algorithms. Recently completed comprehensive training in data analysis techniques and project management. Equipped with hands-on experience in utilizing data to drive insights and support decision-making. Eager to leverage analytical skills and a passion for data to contribute to impactful business strategies.

Experience


Jan-2024 to july 2024

AI/ML Internship NIELIT

WBL Intern

As an AI/ML intern at NIELIT, a leading government organization under (MeitY), I leveraged advanced analytical techniques and tools to drive impactful business solutions.

  • Uncovered key insights through EDA, guiding the development of machine learning models that achieved 90%+ accuracy, driving data-driven decisions and optimizing business processes.
  • Created dynamic Power BI dashboards that reduced data trend identification by 40% and enhanced strategic decision-making.
  • Developed and streamlined a heart failure prediction model using XGBoost, achieving high accuracy with effective preprocessing and live access via a deployed interface.

2 week August 2023

Data Science & ML

Intern

Gained hands-on experience in Data Science and Machine Learning at YBI Foundation, focusing on end-to-end model deployment, feature engineering, and real-time analytics.

  • Successfully implemented and deployed machine learning models from data collection to production, ensuring scalability and robustness.
  • Streamlined the entire analysis pipeline, using Power BI to visualize key insights and inform decision-making.
  • Built and deployed a logistic regression model for IPL match outcome prediction, achieving robust accuracy. Hosted the model on a Streamlit web app, providing real-time predictions and interactive analysis. Incorporated detailed EDA and visual insights to enhance user understanding and engagement.



Education


2020-2024

Bachelor of Engineering

Gujarat Technological University

Grade: First class distinction.

2019-2020

Higher Secondary School

Sarvajanik Vidhyalay School

Grade: Second class distinction.

Projects

Projects

Below are the sample Data Analytics projects on SQL, Python, Advance Excel, Power BI & ML.

Pizza Sales [pizzahut] store Analysis using SQL

Analyzed Pizza sales store data using advanced SQL queires to identify gaps and increase the business growth.

Heart Failure Prediction XGBoost Live Web Interface

Performed exploratory data analysis on heart failure data using Python to enhance predictive accuracy and improve patient outcomes.

Power BI HR Analytics dashboard Project for Insights

Designed a Power BI dashboard for HR analytics to track and analyze employee metrics [attrition Rate] across the organization.


Vrinda Store Analysis using Advance Excel

Built an Advanced Excel dashboard for Vrinda Store analysis, revealing critical insights into sales trends and inventory management.

Super Store Sales Dashboard Project using Power BI

Developed a comprehensive Power BI dashboard for Super Store Analysis, providing deep insights into sales performance.

0 Achievements
0 Projects
0 Certifications
0 Cups of coffee

More projects on Github

I am passionate about solving business problems and uncovering hidden data stories that drive informed decision-making


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Vapi, India

Contact Number

+91 8490887637

Email Address

ajeetdubey5920@gmail.com

Download Resume

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6 Month Internship Credential Click Here