Swamy D

Entry-level Software Developer, Machine Learning Engineer, Data Analyst, or IT Associate

80 · Excellent

About

Recent MCA graduate with a strong foundation in Python, SQL, Machine Learning, and Web Development. Hands-on experience through academic projects and a Machine Learning internship in developing AI-based applications, data analysis, and full-stack web solutions. Proficient in Python, SQL, Microsoft Excel, Power BI, HTML, CSS, JavaScript, Flask, and Git. Strong analytical, problem-solving, and communication skills with a passion for learning new technologies. Seeking an entry-level Software Developer, Machine Learning Engineer, Data Analyst, or IT Associate role to apply technical expertise, contribute to organizational success, and grow professionally.

Skills & Expertise (28)

Python Intermediate

7.5/10

Years Exp

Machine Learning Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Matplotlib Intermediate

7.0/10

Years Exp

Data Analysis Intermediate

6.5/10

Years Exp

Data Visualization Intermediate

6.5/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

Visual Studio Code Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Microsoft Excel Intermediate

5.5/10

Years Exp

Data Structures and Algorithms Intermediate

5.5/10

Years Exp

Object-Oriented Programming Intermediate

5.5/10

Years Exp

SQLite Beginner

5.0/10

JavaScript Beginner

5.0/10

CSS3 Beginner

5.0/10

HTML5 Beginner

5.0/10

Flask Beginner

5.0/10

Power BI Beginner

4.5/10

SQL Query Optimization Beginner

4.0/10

input validation Beginner

4.0/10

Analytical Thinking Problem Solving Communication Teamwork Time management Quick learner

Work Experience

Machine Learning Intern

Techxonic Innovation

Present - Present

Developed an Employee Attrition Prediction system using Machine Learning and Python. Performed data preprocessing, feature engineering, and predictive modeling to identify employees at risk of attrition. Applied data analysis techniques to improve prediction accuracy and evaluate model performance. Worked with Python libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization. Maintained project documentation and source code using Git and GitHub.