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Data Science with less than a year in AI Development & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about creating innovative solutions with extensive experience in Python, data visualization, and SQL. Proficient in various programming languages and frameworks. Committed to continuous learning and delivering high-quality software that enhances user experience and meets client needs effectively.
MLR Institute of Technology and Management
B.Tech · Computer Science and Engineering (Ds)
August 1, 2022 – June 30, 2026
VISWAM.AI
AI Developer
June 1, 2025 – July 1, 2025
India
E-Commerce Using Data Analysis
May 1, 2025 – July 1, 2025
Analyzed customer purchasing behavior from an online retail dataset to understand how product categories, customer demographics, and seasonal trends influenced sales. Used Pandas and NumPy for data cleaning, including handling missing values, removing duplicates, and converting data types. Created visualizations such as scatter plots and heatmaps to uncover meaningful patterns. Provided actionable insights to optimize product offerings and marketing strategies, resulting in targeted sales improvements.
Synthetic Dataset for Fraud Detection
December 1, 2024 – March 1, 2025
Developed a real-time fraud detection system using synthetic mobile transaction data from the PaySim simulator. Applied data preprocessing techniques with Pandas and NumPy, and built a classification model using Scikit-learn to improve prediction accuracy. Visualized model performance through ROC curves, confusion matrices, and feature importance using Matplotlib. The model was deployed as a web application using Flask and Django to enable real-time data input and fraud prediction.
SQL and Relational Database Learning
IBM
June 1, 2025 – Present
Problem Solving In Python
Unknown
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internship align well with a Data Science role, demonstrating a foundational understanding of the field. The projects show a focus on practical applications of data analysis and machine learning. The breadth of skills listed (Python, SQL, various frameworks) suggests adaptability. However, the experience is limited to academic projects and a short internship, which might indicate a need for more exposure to diverse team environments and real-world project complexities.
Soft Skills & Operational Fit
The candidate's professional summary highlights a passion for innovative solutions, continuous learning, and delivering high-quality software, indicating a positive work attitude. Project descriptions suggest an ability to work on structured problems and deliver tangible outcomes. However, without psychometric test results or interview data, a comprehensive assessment of stress handling, teamwork, and other soft skills is not possible.