Hello!

I'm Ravi Parmar



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Name: Ravi Parmar

Job Role: Data Analyst

Experience: 8 Months

Address: Dhranagadhra-Gujarat, India

Skills

SQL 90%
PYTHON 90%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 70%
R 60%

About Me

Dynamic and results-oriented entry-level Data Analyst with proven hands-on experience in data analysis, machine learning, and web development. Possess a passion for transforming complex datasets into actionable insights that drive strategic decisions. Developed a Spam Email Classification system using Naive Bayes and NLP techniques, achieving a 98.4% accuracy rate, and created a machine learning model for employee burnout prediction with an R-squared of 0.897. Demonstrated expertise in data collection, cleaning, HR data analysis, and pharmaceutical data analysis during internships. Eager to contribute analytical skills and innovative thinking to a forward-thinking organization while leveraging practical experience gained from AICTE, Edunet Foundation, PSYLIQ, and Oasis Infobyte internships.

  • Profile: Data Science & Analytics
  • Domain: General Data Analysis & Industry Agnostic
  • Education: B.E in Computer Engineering
  • Language: English, Hindi, Gujarati
  • BI Tools: Microsoft Power BI, Tableau
  • Database Management: SQL ,PostgreSQL
  • Interest: Traveling, Travel Photography, listening to music, Reading Self help books

LinkedIn

Resume

Aspiring Data Analyst with strong analytical skills, eager to drive business growth through data-driven insights and continuous learning. Passionate about applying data science principles to solve challenges and contribute effectively to success.

Internship


2023-2024

Psyliq-Data Analyst Intern

Psyliq

Psyliq, a premier internship specialist, bridges the gap between job seekers and real-world projects, empowering professional skill enhancement.

  • HR Data Analysis: Delved deep into human resources data to extract meaningful insights and contribute to strategic decision-making. Learned the ropes of workforce analytics and its pivotal role in optimizing organizational performance.
  • Employee Dataset: Worked on a comprehensive employee dataset, honing my skills in data management and analysis. Leveraged the power of data to understand trends, identify patterns, and derive actionable conclusions for workforce enhancement.
  • In the realm of pharmaceuticals, I explored the vast landscape of data analysis, gaining valuable insights into industry trends and contributing to data-driven strategies. An enriching experience in a dynamic sector.

2023

Oasis Infobyte- Web Development & Designing Intern

Oasis Infobyte

OasisInfoByte turns digital dreams into reality, aligning with client goals to deliver exceptional software solutions.

  • Calculator: Developed a web-based calculator application using HTML, CSS, and JavaScript, featuring a user-friendly interface that mimics a physical calculator and provides instant results for basic arithmetic calculations.
  • To Do List: Created a To-Do List web application using HTML, CSS, and JavaScript, allowing users to organize and manage daily tasks with dynamic features for inputting, displaying, and managing to-do items within the browser.
  • Tribute Page: Constructed a Tribute Page dedicated to A.P.J. Abdul Kalam, featuring comprehensive information about his life, achievements, and contributions, along with additional resources for further reading.

2024

AICTE Internship on AI: Transformative Learning with TechSaksham-A joint CSR initiative of Microsoft & SAP

AICTE

Edunet Foundation, founded in 2015, bridges academia and industry by enhancing employability, fostering innovation, and leveraging emerging technologies to build an IR 4.0-ready workforce in India.

  • Spam emails present a growing challenge by reducing productivity and posing security risks. My project, Spam Email Classification using NLP and Machine Learning, focuses on creating a robust solution to differentiate spam from legitimate emails. By implementing machine learning models and natural language processing techniques, this system enhances email filtering, reduces false positives, and improves email security.
  • The project involved key steps, including text preprocessing with tokenization, stemming, and lemmatization. Feature extraction was done using TF-IDF, and machine learning models like Naive Bayes and Support Vector Machine were trained and evaluated for accuracy. This approach ensured high performance in classifying emails effectively while minimizing misclassifications.
  • This project provided valuable hands-on experience with Python, Scikit-learn, and Streamlit, showcasing my ability to apply AI-driven solutions to real-world problems. It strengthened my understanding of NLP and machine learning, reflecting my passion for data science and artificial intelligence applications.

2024

AICTE Internship on AI: Edunet Foundation’s SkillsBuild Program, in collaboration with IBM, provided an Artificial Intelligence internship

AICTE

Edunet Foundation, founded in 2015, bridges academia and industry by enhancing employability, fostering innovation, and leveraging emerging technologies to build an IR 4.0-ready workforce in India.

  • The Employee Burnout Analysis project aims to identify factors influencing employee burnout, a critical issue affecting productivity and workplace well-being. Using a dataset provided by the Edunet Foundation and IBM SkillsBuild, key variables such as mental fatigue score, resource allocation, and designation were explored to analyze their impact on burnout rates.
  • The project involved thorough data preprocessing, including handling missing values, encoding categorical data, and scaling features. A Linear Regression model was built, achieving an R² score of 0.92. Visualizations, such as correlation heatmaps and scatter plots, provided insights into trends and relationships affecting burnout.
  • This project highlights the significance of data-driven solutions to workplace challenges. By predicting burnout and identifying contributing factors, organizations can implement strategies to improve employee well-being. The experience strengthened my skills in data analysis, visualization, and machine learning for real-world applications.



Education


2019-2023

BE in Computer Engineering

LDRP Institute of Technology and Research

Grade: First class.

2017-2019

Higher Secondary School

Sadhana Vidhyalaya

Grade: Second Class.

Download CV

Projects

Below are my internship project and sample DA projects on SQL, Power BI, Python, and ML.

Analyzing Data from a Digital Music Store with SQL

The project analyzes a music store database using SQL queries to extract meaningful insights for business decisions and customer engagement.

Amazon Kindle Book Sales analysis

The goal of this project is to analyze a dataset containing information about Amazon Kindle books. We aim to gain insights into the dataset's characteristics and visualize key aspects such as book prices and categories.

Power BI HR Analytics Dashboard

Designed a power bi dashboard for HR Analytics for employee Attrition in the Company


Weather Forecasting using spreadsheet

The Weather Forecasting project aims to analyze historical weather data to gain insights and make temperature forecasts using spreadsheet.

Optimizing Agricultural Production analysis

The project focuses on enhancing agricultural productivity by applying data analysis and machine learning techniques. It uses datasets that incorporate various crop characteristics, including soil properties and climatic factors, to provide insights and predictive models for optimizing farming outcomes.

Spam Email Classifier Using NLP & ML

The Spam Email Classification project uses natural language processing and machine learning to detect spam emails. It preprocesses text, extracts features using TF-IDF, and applies algorithms like Naive Bayes and SVM to improve email filtering with high accuracy and real-time scalability.

Employee burnout analysis

The Employee Burnout Analysis project involved analyzing employee data to identify patterns and factors contributing to burnout. It utilized machine learning models to predict burnout risks, aiming to help organizations improve employee well-being and retention.

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact Me

Below are the details to reach out to me!

Address

24-B Anand Park,Charmaliya Society,Dhrangadhra-363310, Gujarat-India

Contact Number

+91 9408304710

Email Address

raviparmar31710@gmail.com

Download Resume

Resume link



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