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Data Science with less than a year in Python, SQL & 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 and Data Scientist skilled in Python, SQL, Power BI, Excel, and Machine Learning. Experienced in EDA, dashboard development, predictive modeling, and data visualization using real-world datasets.
Chandigarh University
B.E · Computer Science (Hons.) specializing in AI and ML
August 1, 2021 – June 30, 2025
Narayana Junior College
Intermediate · Mathematics, Physics, Chemistry
June 1, 2019 – May 31, 2021
Infoz IT Solutions
Data Analyst & Data Scientist Intern
January 1, 2026 – March 1, 2026
India
Real-Time Fraud Detection & Explainability System
March 1, 2026 – March 1, 2026
Built XGBoost and Isolation Forest models on 284K+ financial transactions using SMOTE for fraud detection and explainable AI techniques (SHAP/LIME). Developed a FastAPI and Streamlit application for real-time fraud detection and interactive risk analysis.
AI-Driven Retail Demand & Inventory Analytics Dashboard
December 1, 2025 – December 1, 2025
Analyzed 50,000+ retail transactions using SQL and Python to identify demand trends, inventory risks, and revenue-loss products. Built an interactive Power BI dashboard for inventory tracking, KPI analysis, and demand forecasting to support business decisions.
Customer Segmentation using K-Means and RFM Model
May 1, 2024 – May 1, 2024
Applied RFM and K-Means clustering model to identify high-value customer segments from transactional data. Improved customer targeting efficiency by analyzing purchasing behavior across (RFM) metrics.
Post Graduate Certification in Data Science
E&ICT Academy, IIT Guwahati
June 1, 2026 – Present
Industry Exposure Program in Data Science
Infoz IT Solutions
June 1, 2026 – Present
Machine Learning, Natural Language Processing, Computer Vision Fundamentals
Google Cloud
June 1, 2026 – Present
Data Science Training Program
Teks Academy
June 1, 2026 – Present
Image Caption Generator using LSTM
IEEE Xplore
January 1, 2024 – Present
Customer Segmentation using K-Means and RFM Model
IEEE Xplore
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background, certifications, and project diversity align well with a data-driven and innovative culture. The focus on AI/ML and data analytics across various domains (finance, retail) suggests an adaptable individual keen on exploring different applications of data science. The publication record further indicates a commitment to contributing to the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business problems into data science solutions, suggesting problem-solving and analytical thinking. The academic projects and internship show a proactive approach to learning and applying technical skills. However, without direct behavioral assessment, specific soft skills like teamwork, leadership, or adaptability cannot be fully evaluated.