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Data Analyst with less than a year in Python & Machine Learning
Aspiring Data Analyst with a strong foundation in Data Structures, Algorithms, and software development. Proficient in Python, Java, and data analysis libraries including NumPy, Pandas, and Matplotlib, with hands-on experience in data processing, visualization, and problem solving. Skilled in MS Excel, HTML, CSS, and JavaScript. Solved many coding challenges across major platforms, demonstrating strong analytical thinking and logical reasoning. Passionate about transforming raw data into meaningful insights and seeking opportunities to apply data analysis and machine learning fundamentals to real-world business problems.
Chandigarh Group of Colleges
B.Tech · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2027
Chandigarh Engineering college
Bachelor of Technology · Computer Science Engineering
August 1, 2023 – June 30, 2027
|CollegePython &MLBootcamp
Python Development Trainee (Workshop)
August 1, 2025 – October 1, 2025
India
Credit Card Fraud Detection using Machine Learning
January 1, 2026 – February 1, 2026
Trained and Tested models on detecting fraud payments using machine learning. Various Models are used to compare accuracy of the model. Implemented Logistic Regression and Random Forest model to train the model. Strengthened understanding of machine learning concepts and optimization techniques.
Sales Data Analysis & Visualization
June 1, 2025 – June 1, 2026
Analyzed large datasets to identify trends, patterns, and business insights. Created charts and dashboards to visualize KPIs and performance metrics. Cleaned and transformed raw data for accurate and reliable analysis. Generated reports to support data-driven decision making.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in practical applications of data analysis and machine learning, which aligns with a results-oriented culture. The pursuit of two bachelor's degrees concurrently (or a single degree with two specializations) suggests a strong drive for learning and academic rigor. The personal projects and workshop experience indicate a proactive approach to skill development. The breadth of technical skills (Python, Java, C++, SQL, Excel) suggests adaptability and a willingness to explore different tools, which can be beneficial for team collaboration and diverse project requirements.
Soft Skills & Operational Fit
The candidate lists leadership, problem-solving, teamwork, communication, adaptability, and time management as soft skills. The project descriptions indicate an ability to work on structured tasks and follow methodologies for data analysis and model training. However, without specific examples or interview data, the depth of these soft skills in a senior operational context is difficult to assess.