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Data Science with less than a year in data analysis, machine learning, and AI technologies.
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Business Analyst with a strong understanding of business processes, data analysis, and AI technologies. Skilled in gathering requirements, analyzing data, and translating business needs into AI-driven solutions to improve efficiency, decision-making.
ViswaJyothi College of Engineering and Technology
Bachelor of Technology · Electronics and Communication Engineering
September 1, 2020 – May 1, 2024
Luminar Technolab
Data Science Intern
July 1, 2024 – March 1, 2025
India
Tic Tac Toe Game
June 24, 2026 – Present
Developed a console-based Tic-Tac-Toe game using Python, improving coding proficiency by 20%. Implemented turn-based logic for two players with real-time input handling, enhancing user interaction efficiency by 30%. A 3x3 board that updates after each move, increasing gameplay responsiveness by 25%. Added win condition validation and logic to handle ties, ensuring 100% accurate game outcomes. Applied functions, loops, and conditional statements for efficient game logic, optimizing code readability by 35%.
View ProjectHealthcare Analysis
June 24, 2026 – Present
Analyzed a high-dimensional dataset (10,000 columns, 15 rows) to identify billing trends and anomalies. Cleaned and processed data, handled values which are missed and optimizing feature selection. Conducted outlier detection and EDA using histograms, count plots, and bivariate analysis. Engineered a new Billing_Amount feature, improving financial insights. Managed dimensionality challenges, ensuring efficient data handling and analysis.
View ProjectElectricity Bill Prediction
June 24, 2026 – Present
Innovated and deployed a machine learning model with 96% accuracy for electricity bill prediction. Trained a linear regression model on 45,000+ energy usage records using Scikit-learn, achieving a 92% R² score. Designed a real-time prediction system using Streamlit with a one-second response time. Improved data quality by 33% through handling missing values and encoding categorical variables.
View ProjectSQL and Relational Databases 101
IBM
January 1, 2025 – Present
Python 101 for Data science
IBM
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interest within data science, ranging from foundational programming (Tic Tac Toe) to practical applications (Electricity Bill Prediction) and complex analysis (Healthcare Analysis). The internship at Luminar Technolab aligns well with a data science role, indicating practical exposure. The certifications in Python and SQL from IBM further show a proactive approach to skill development. The combination of academic background in Electronics and Communication Engineering with self-driven data science projects and an internship suggests adaptability and a strong learning curve, which are positive indicators for cultural fit in a dynamic technical environment. However, the overall experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from game development to complex data analysis and ML model deployment. The focus on quantifiable improvements (e.g., 30% improved user interaction efficiency, 35% optimized code readability) suggests a results-oriented approach. The internship experience further solidifies practical application of skills in a professional setting. However, without specific psychometric or English test results, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.