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Data Analyst with 1+ years in Data Science & 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
Results-driven MCA graduate with a specialization in Data Science and hands-on experience in Data Analytics, Business Intelligence, Machine Learning, and Data Visualization. Proficient in Python, SQL, Power BI, Tableau, Excel, and statistical analysis, with proven experience in building predictive models, interactive dashboards, and analytical solutions using real-world datasets. Skilled in data cleaning, EDA, feature engineering, KPI reporting, and business insights generation. Experienced in NLP, Deep Learning, TensorFlow, Pandas, Scikit-learn, and MySQL. Eager to apply analytical and technical expertise to help organizations make data-driven decisions and achieve business objectives.
Amrita Vishwa Vidyapeetham, Kochi
MCA · Data Science
August 1, 2024 – June 30, 2026
Amrita Vishwa Vidyapeetham, Kochi
BCA · Data Science
August 1, 2021 – June 30, 2024
SkillCraft Technology
Data Science Intern
January 1, 2025 – Present
India
E-Commerce Sales & Customer Analytics Dashboard
January 1, 2026 – January 1, 2026
• Performed data cleaning, EDA, and sales analysis using Python, Pandas, and SQL. • Built Power BI dashboards with star schema modeling to deliver customer, sales, profitability, and KPI insights.
YouTube Spam Comment Detection
January 1, 2025 – January 1, 2025
• Built a DistilBERT + CNN + BiLSTM spam detection model achieving 97.19% accuracy and 0.97 F1-score on YouTube comments. • Implemented Explainable AI (LIME, SHAP) and deployed a Flask-based web application for real-time prediction.
Credit Card Fraud Detection
January 1, 2024 – January 1, 2024
• Developed a Random Forest-based fraud detection model on highly imbalanced financial transaction data, achieving 99.94% accuracy and 0.85 F1-score. • Applied SMOTE for class balancing and deployed a Flask-based application for real-time fraud prediction and analytics.
Online Boutique System
January 1, 2023 – January 1, 2023
• Built an e-commerce application with product, cart, and user management features. • Designed a MySQL database for order tracking and inventory management.
Introduction to Natural Language Processing
Infosys Springboard
June 1, 2026 – Present
Introduction to Artificial Intelligence
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of applications for data science, including e-commerce analytics, fraud detection, and spam detection, which indicates adaptability and a broad interest in problem-solving. The target role of 'Data Analyst' aligns well with the candidate's stated skills and project experience in data analysis, visualization, and BI tools. The internship further solidifies this alignment. The breadth of skills, from core data analysis to advanced NLP and deep learning, suggests a proactive learning attitude. However, the experience level (1) indicates a junior profile, which might require more mentorship in a senior-level environment.
Soft Skills & Operational Fit
The candidate's resume indicates a results-driven approach and eagerness to apply analytical expertise to business objectives. Project descriptions suggest an ability to work on end-to-end data science problems, from data cleaning to model deployment. However, without direct assessment data on communication, teamwork, or problem-solving under pressure, it's difficult to fully assess soft skills and operational fit beyond what's inferred from project descriptions.