About
Highly motivated Bachelor of Technology student specializing in Data Science and Machine Learning, with a strong academic record and practical experience in developing predictive models and performing end-to-end data analysis. Eager to leverage expertise in Python, ML frameworks, and data visualization to solve complex problems and contribute to innovative data-driven solutions. Proven ability to translate data into actionable insights, demonstrated through impactful projects and proactive participation in hackathons.
Work
End-to-End Sales Analysis
|Data Analyst
Jaipur, Rajasthan, India
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Summary
Conducted a comprehensive end-to-end sales data analysis to derive key business insights, culminating in an interactive Power BI dashboard for data-driven decision-making.
Highlights
Performed extensive data preprocessing, cleaning, and manipulation using Python with Pandas to prepare a comprehensive dataset from multiple sources.
Executed exploratory data analysis (EDA) to identify critical trends in sales performance, top-selling products, and customer behavior.
Developed an interactive dashboard using Power BI, visually presenting findings to enable stakeholders to make informed, data-driven decisions.
EstatePredict
|Full Stack Machine Learning Engineer
Jaipur, Rajasthan, India
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Summary
Designed and deployed a full-stack predictive model for Bangalore home prices, integrating advanced machine learning techniques with an interactive web interface for real-time predictions.
Highlights
Developed a predictive model using Scikit-learn and Linear Regression on the Bangalore home prices dataset, incorporating data cleaning, outlier detection, feature engineering, and hyperparameter tuning (GridSearchCV).
Deployed the trained model via a Python Flask server, effectively handling HTTP requests and enabling real-time price predictions.
Built a responsive frontend using HTML, CSS, and JavaScript, allowing users to input property details and receive immediate price estimations.
Improved model accuracy through K-Fold cross-validation and rigorous data preprocessing, ensuring reliable predictions.
IPL-WinAI
|Machine Learning Developer
Jaipur, Rajasthan, India
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Summary
Developed an advanced machine learning model to predict IPL match outcomes by analyzing real-time statistics and team performance, providing critical insights into winning probabilities.
Highlights
Engineered a machine learning model to predict IPL match winning probabilities, leveraging real-time match statistics, team performance, and game progress.
Utilized Python with NumPy and Pandas for data processing and feature engineering to build a robust predictive system.
Provided actionable insights into team performance and match conditions, enhancing strategic understanding of game dynamics.
Education
VIT Bhopal University
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Bachelor of Technology
Bachelor Of Technology
Grade: 8.55
Courses
Database Management System (DBMS)
OOPS Concept
Python
Excel
Power BI
Exploratory Data Analysis
Artificial Intelligence
C++
MySQL
Statistics
Machine Learning
Jagatpura Central Academy
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Senior School Certificate Examination
PCM
Grade: 95.20%
Gyaan Jyoti Vidyapeeth
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Secondary School Examination
All India Secondary School Examination
Grade: 80.83%
Awards
Top Ranker
Awarded By
Jagatpura Central Academy
Recognized as a top-performing student in the Intermediate level, demonstrating academic excellence in PCM.
Languages
English
Hindi
Certificates
Learning Python
Issued By
Machine Learning with Python
Issued By
Data Science Job Simulation
Issued By
Forage
AWS Solution Architect
Issued By
Ethnus
Skills
Programming Languages
Python, C++, SQL, HTML, CSS, JavaScript.
Data Science & Machine Learning
NumPy, Pandas, Matplotlib, Scikit-learn, Linear Regression, Data Cleaning, Outlier Detection, Feature Engineering, Dimensionality Reduction, Hyperparameter Tuning, GridSearchCV, K-Fold Cross-validation, Exploratory Data Analysis (EDA), Artificial Intelligence, Statistics.
Web Development
Flask, HTML, CSS, JavaScript.
Databases
Database Management System (DBMS), MySQL.
Tools & Platforms
VS Code, GitHub, Power BI, Excel, AWS.
Concepts
OOPS Concept.