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Data Science with less than a year in Data Analytics & Machine Learning
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 strong knowledge of SQL, Python, Excel, Power BI, and Data Visualization. Experienced in data cleaning, exploratory data analysis (EDA), statistical analysis, feature engineering, and transforming raw datasets into actionable business insights.
Malla Reddy College of Engineering, Hyderabad
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2023 – June 30, 2026
ACT Fibernet
Assistant Network Technician
December 1, 2022 – May 1, 2023
India
Credit Card Fraud Detection System
June 23, 2026 – Present
Performed data cleaning, preprocessing, and exploratory data analysis on transaction datasets. Developed predictive models using Random Forest and XGBoost. Evaluated model performance using Accuracy, Precision, Recall, and F1-Score metrics. Identified patterns and anomalies to improve fraud detection effectiveness.
Synthetic Face Detection System
June 23, 2026 – Present
Performed image preprocessing and feature extraction techniques. Developed classification models using machine learning and deep learning concepts. Evaluated model performance and improved detection accuracy through parameter tuning.
Cultural Fit Analysis
The candidate is currently pursuing a B.Tech in Computer Science Engineering (AI & ML), indicating a strong interest and foundational academic background in the target field. The academic projects demonstrate initiative and a proactive approach to learning and applying data science concepts. The previous non-data science role shows adaptability and a willingness to take on diverse responsibilities. However, the overall breadth of professional experience in data science is limited, which might impact cultural fit in a senior, fast-paced data science team requiring immediate, high-level contributions.
Soft Skills & Operational Fit
The candidate's previous role as an Assistant Network Technician suggests experience in problem-solving, troubleshooting, and customer communication. These skills are transferable to a data science role, particularly in understanding business requirements and communicating insights. However, the direct operational fit for a senior data science role is limited due to the lack of professional data science experience.