Data Science with less than a year in Data Analysis, Machine Learning & Java Full Stack Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, and Machine Learning. Skilled in data preprocessing, exploratory data analysis (EDA), predictive modeling, and data visualization using Pandas, NumPy, and scikit-learn. Passionate about transforming data into actionable insights to support data-driven decision-making.
Gogte Institue Of Technology
Master of Computer Applications
December 1, 2024 – Present
A. S. Patil College of Commerce
Bachelor of Computer Applications
October 1, 2021 – September 1, 2024
KodNest Technologies
Java Full Stack Intern
February 1, 2026 – Present
Bengaluru, Karnataka, India
Shree Ram Solution
Data Science Intern
April 1, 2024 – June 1, 2024
Karnataka, India
Sales Savvy
February 1, 2026 – Present
Developed a full-stack e-commerce application using Java, Spring Boot, React.js, SQL, HTML, CSS, and JavaScript. Designed secure RESTful APIs for authentication, product management, shopping cart, and order processing. Optimized SQL queries for efficient data retrieval, storage, and transaction management. Implemented password encryption, input validation, exception handling, and role-based authentication. Improved application performance through caching, API optimization, and scalable backend design.
Forecasting Gold Trends
August 1, 2024 – November 1, 2024
Developed a gold price forecasting system using historical market data and macroeconomic indicators. Collected, cleaned, and preprocessed data using Python, Pandas, and NumPy, performing data wrangling and feature engineering. Conducted Exploratory Data Analysis (EDA) and statistical analysis to identify trends, correlations, and key forecasting factors. Built and evaluated Machine Learning models including Linear Regression, Random Forest, and LSTM using scikit-learn. Integrated inflation, interest rates, and stock market data to improve forecasting accuracy. Created visualizations using Matplotlib and Power BI to communicate insights.
Gen AI Powered Data Analytics Job Simulation
Workflow
June 1, 2026 – Present
Data Analytics Essentials
Cisco
June 1, 2026 – Present
Data Visualization: Empowering Business with Effective Insights
TCS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning both data science and full-stack development, shows adaptability and a willingness to explore different technical domains. Their educational background and certifications align with a continuous learning mindset. However, the current experience level (internships) suggests a need for mentorship and structured growth within a senior role.
Soft Skills & Operational Fit
The candidate's extracurricular activities suggest strong teamwork, communication, planning, and leadership skills, which are valuable for operational fit. Their involvement in volunteering also indicates social responsibility.