Hello!

I'm Shravani Jadhav



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Name: Shravani Jadhav

Job Role: Intern

Experience: 3 Months

Address: Pune, India

Skills

SQL 95%
PYTHON 85%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 80%

About

About Me

With over 4 years of comprehensive experience in the field of Artificial intelligence & data science, accompanied by a bachelor's degree in engineering. Proficient in data analysis, statistical analysis, data structure , customer behaviour analysis, & machine learning. Demonstrated success in leading impactful projects and effective learning.

  • Profile: Data Science & Analytics
  • Domain: Retail, Ecommerce, Finance & Banking
  • Education: Bachelor of Technology
  • Language: English, Hindi, Marathi
  • BI Tools: Microsoft Power BI, Looker & Tableau
  • Other Skills: Cloud, PySpark, Excel, Docker, Git, Google Analytics & LLM
  • Interest: Traveling, Travel Photography, Teaching

0 +   Projects completed

LinkedIn

Resume

Resume

Intern at Tata Motors , Open source Contributor at MLH and Katalyst India Student experience driving business strategies through data-driven insights. Proven expertise in data science, statistical analysis, machine learning algorithms and project management.

Experience


May 2024-Present

Intern

TATA Motors

Tata Group(TATA Motors) is leading global automobile manufacturing company with over 10K+ professionals globally.

  • Implementing a CNN-based model for object detection in the Tata OK application, ensuring the authenticity of second-hand vehicle Images during evaluation.
  • Led the development of a machine learning-powered pricing engine for used vehicles, incorporating factors like make, model, year, mileage and market trends..
  • Conducted feature engineering and deployed regression models for accurate pricing predictions. Designed a user-friendly interface for easy input and retrieval of pricing estimates within the Tata OK application.

August 2023-November 2023

Open Source Contributor

Major League Hacking

Major League Hacking (MLH) is a 500k+ global member community empowering the next generation of developers to learn through hackathons and the Open Source MLH Fellowship

  • As part of the inaugural class of MLH Fellows, I contributed to Open Source projects with a team of Fellows under the educational mentorship of a professional software engineer
  • Worked collaboratively on projects with 15 pod members in the program



Education


2021-2025

Bachelor of Technology

Dr.D Y Patil Vidyapeeth , Pune

CGPA - 9.6

2019-2021

Higher Secondary School

YCIS , Satara

Percentage - 88%

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Projects

Projects

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

Profit Prediction of top 50 companies using Data Science

In this project , the linear regression model developed for predicting the profit of 50 company based on R&DSpend , Administration Cost and Marketing Spend. The model was trained on dataset containing information about several companies and their respective profits. The model was evaluated using metrics such as mean squared errors and R-squared which showed that it is a good fit for data an can be used to make accurate predictions. Technologies used- Python, Data Science and ML algorithm (Linear & Logistic Regression, Random forest for final evaluation.

Wine Quality prediction using Machine learning

The goal is to explore the Wine Quality dataset in order to extract the main features and characteristics from the data and predict the wine quality so consider this problem as a classification task. Tasks performed are: Initial Visual Analysis, Data preprocessing, Gathering Training and Testing Data,Exploratory Data Analysis, Steps to improve prediction results, Quality prediction. Technologies used- Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Machine Learning

Power BI Sales dashboard Project for Beginners

Designed a power bi dashboard for Ecommerce Store to track and analyze the online sales data acorss India.


Automatic-Speech-Recognition using NLP

Automatic speech recognition, often referred to as ASR, transforms spoken language into text. It's speech-to-text software that converts your voice into written language automatically. This technology has many applications, including dictation and visual voicemail software.

ML-Based Liver Data Analytics for Enhanced Healthcare Diagnostics

The primary objective of this study is to utilize machine learning algorithms to conduct a thorough examination of liver data, with an emphasis on liver disease prediction. The objective is to examine the efficacy of different machine learning models, such as K-Nearest Neighbors, Random Forest, Decision Tree, Logistic Regression, and Support Vector Machine, in properly predicting the presence or absence of liver diseases..

0 Achievements & Hackathon
0 Projects
0 Volunteer
0 Workshop attended

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

7420804727

Email Address

shravanijadhav2747@gmail.com

Download Resume

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