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Data Analyst with less than a year in data operations, ETL, and 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
MCA graduate (2025) with hands-on expertise in data extraction, validation, and quality assurance across large-scale datasets. Proficient in Python, SQL, Power BI, and Excel for end-to-end data operations, ETL pipeline design, and analytical reporting. Detail-oriented problem-solver with strong computer, internet, and troubleshooting skills; experienced in high-volume data tasks, solution-oriented problem solving, cross-functional collaboration at all management levels, and SLA-driven delivery.
Dr. B.C. Roy Engineering College
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Silda Chandra Sekhar College
Bachelor of Computer Applications (BCA)
August 1, 2020 – June 30, 2023
PySpiders
Data Science & Python Full Stack Development
January 1, 2026 – Present
Bengaluru, Karnataka, India
Credit Card Fraud Detection
June 22, 2026 – Present
Extracted, validated, and processed 284,807 transactions; built an end-to-end data pipeline (StandardScaler → SMOTE → XGBoost) with rigorous data quality checks achieved 98.79% accuracy and 87.76% recall; collaborated across the team to ensure SLA-compliant delivery. Tuned hyperparameters via GridSearchCV (5-fold CV, 8 combinations); applied solution-oriented troubleshooting to resolve data imbalance; validated the model using Accuracy, Precision, Recall, F1, MCC, and ROC-AUC across 30 PCA-transformed variables.
Fake News Detection System
June 22, 2026 – Present
Built an NLP pipeline to classify 44,000+ records using TF-IDF and Decision Trees, achieving a 99.55% accuracy rate and 99% F1-score. Engineered a TF-IDF text preprocessing pipeline with a real-time manual testing module; documented findings and communicated results clearly to peers.
Personal Finance Dashboard
June 22, 2026 – Present
Created a Power BI dashboard for 2+ years of financial data, engineering 10+ DAX measures and 3 relational tables to automate monthly budget tracking.
Google Data Analysis with Python
Google / Coursera Specialization
May 1, 2026 – Present
Data Analyst - Big 4 Ready
One Roadmap
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including fraud detection, fake news classification, and personal finance dashboards, shows a broad interest in applying data analysis to various domains. The internship experience and certifications indicate a proactive approach to learning and professional development. The role alignment with 'Data Analyst' is strong, given the explicit focus on data extraction, validation, ETL, and analytical reporting. The breadth of skills across Python, SQL, ML, and BI tools suggests a versatile individual who can contribute to different aspects of a data team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, attention to detail, and a solution-oriented approach, as highlighted in project descriptions and the professional summary. Experience with cross-functional collaboration and SLA-driven delivery indicates a good operational fit. The mention of Agile and SDLC in technical skills further supports adaptability to structured development environments.