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Data Analyst with 5+ years in Python, Machine Learning & Data Visualization.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Software Engineering graduate (CGPA 3.68) with strong hands-on experience in data analysis, predictive modeling, and machine learning. Skilled in Python, Excel, and ensemble modeling techniques, with a proven track record of building high-accuracy models (up to 97.84%). Eager to leverage analytical and problem-solving capabilities to deliver data-driven insights as a Data Analyst at Polluxa.
National University of Modern Languages (NUML)
Bachelor of Software Engineering
August 1, 2022 – June 30, 2026
KIPS College
Intermediate in Computer Science · Computer Science
June 1, 2019 – May 31, 2021
Blockchain Developer
Blockchain Developer
January 1, 2025 – January 1, 2026
India
Harvard Research
Technical and Academic Content Writer
January 1, 2022 – Present
India
Supply Chain Delay Prediction System
January 1, 2024 – January 1, 2024
Conducted full Exploratory Data Analysis (EDA) on a real-world supply chain dataset, including data cleaning, feature engineering, and robust scaling. Built ensemble model combining CatBoost, XGBoost, LightGBM, and FT-Transformer; evaluated using Accuracy, Macro F1-Score, and ROC-AUC metrics. Generated clear visual reports such as correlation heatmaps, distribution plots, and ROC curves to communicate findings to stakeholders.
Deepfake Detection Model
January 1, 2024 – January 1, 2024
Designed preprocessing pipelines and trained a CNN achieving 97.84% accuracy, demonstrating strong command of data preparation and model evaluation. Performed rigorous performance analysis and benchmarking across train, validation, and test splits.
Prescriptive Analytics via Operations Research
January 1, 2023 – January 1, 2023
Solved real-world optimization problems including diet cost minimization and resource assignment, integrating Excel with IBM CPLEX for data-driven workflows. Demonstrated proficiency in structured, data-centric problem-solving directly applicable to business analytics.
Microsoft Azure AI Fundamentals
TEVTA (Microsoft)
January 1, 2024 – Present
Digital Marketing and Content Strategy
Bird View Logic Academy
January 1, 2024 – Present
Full Stack Development
Self-Directed Online
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest and capability in data science and analytics, aligning well with a Data Analyst role. The diversity of projects, from supply chain prediction to deepfake detection and operations research, indicates a broad intellectual curiosity and adaptability. While the 'Blockchain Developer' experience seems tangential to a Data Analyst role, it still demonstrates systems thinking. The 'Technical and Academic Content Writer' role suggests an ability to work with diverse clients and translate complex information, which is valuable for team collaboration and stakeholder communication. The certifications in Azure AI Fundamentals and Digital Marketing further broaden their skill set, indicating a proactive learning attitude.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, attention to detail, and data storytelling skills through their project descriptions. Their experience as a Technical and Academic Content Writer suggests good technical communication and research abilities. The academic projects indicate a structured approach to problem-solving and a focus on data-centric workflows, which aligns well with operational requirements for a Data Analyst role. However, direct experience in a corporate data analyst setting is not evident, which might require some ramp-up in business context application.