Name: Rushikesh Jadhav

Job Role: Data Analyst/Scientist

Experience: Hands-on experience in real world projects

Address: Pune, India

Skills

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

About

About Me

Certified Data Scientist with a year of hands-on experience in advanced analytics and machine learning, accompanied by a Masters degree in Computer Application. Proficient in data analysis, statistical analysis, hypothesis testing, customer behaviour analysis, & machine learning. Demonstrated success in leading impactful projects and providing effective mentorship.

  • Profile: Data Science & Analytics
  • Domain: Retail, Ecommerce, Agriculture & Digital Marketing
  • Education: Masters in Computer Application
  • Language: English, Hindi, Marathi
  • BI Tools: Microsoft Power BI, & Tableau
  • Other Skills: Cloud, PySpark, Excel, Git, JIRA, &
  • Interest: Traveling, Travel Photography, Teaching, Exploring New Tech

0 +   Projects completed

Resume

Resume

Proficient in developing predictive models and creating data visualizations that enhance business strategies and processes. Adept at turning complex datasets into actionable insights with a strong foundation in statistical analysis and AI technologies. .

Certification




Education


2022-2024

Masters in Computer Application

Dr. DY PATIL School of MCA (Savitribai Phule Pune University)

Grade: First class distinction.

2019-2022

Bachelors of Science in Computer science

Dr. Babasaheb Ambedkar Marathwada University

Grade: First class distinction.

Projects

Projects

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

Agrosense Smart Farming Advisor

Developed 'AgroSense', a pioneering decision-support system to enhance agricultural efficiency through data-driven insights. This project integrated three core applications – Crop Recommendation, Fertilizer Suggestion, and Plant Disease Detection – using advanced data analysis and machine learning techniques.

Loan defaulter prediction

About Developed Decision Tree-based model for predicting loan defaults. Processed customer financial and demographic data for risk assessment. Achieved >70% accuracy, reducing default rates by 10%. Utilized Python, Scikit-learn, Pandas, NumPy..

Retail Hub Dashboard

Profit by Country/State: Uncovered variations in profits across different countries and states, enabling us to allocate resources more effectively. - Returned Products Analysis - Regional Insights - Product Category Trends - Customer Segmentation


0 Achievements
0 Projects
0 Mentored Students

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Pune, India

Contact Number

+91 9561249901

Email Address

jadhavshree006@gmail.com

Download Resume

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