Data Analyst with 2+ years in data solutions, ETL, and ML-powered analytics
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 2+ years of experience delivering end-to-end data solutions across analytics, ETL pipelines, and enterprise reporting. Proficient in SQL, Python, Power BI, and Tableau, with strong expertise in campaign measurement, ROI analysis, and actionable data-driven insights. Experienced in statistical modeling, data quality frameworks, and ML-powered analytics that drive acquisition growth and strategic decision-making. Adept at collaborating with business stakeholders, presenting results clearly, and operating with high ownership and minimal supervision.
CT University
Bachelor of Technology · Computer Science (AI & ML)
August 1, 2020 – June 30, 2024
Great Value Realty
Data Analyst
June 1, 2025 – Present
Delhi, Delhi, India
Aayushi Technology
Data Analyst
January 1, 2024 – June 1, 2025
India
Credit Card Fraud Detection – End-to-End ML Pipeline
June 17, 2026 – Present
• Engineered a full ML pipeline on real-world imbalanced financial data; applied SMOTE and feature engineering to address class imbalance, improving F1-score by 22%. • Trained and benchmarked Logistic Regression, Random Forest, and LightGBM models; achieved 94% ROC-AUC on the test set - strong quantitative validation aligned to financial analytics. • Deployed the model via Streamlit as an interactive web app, enabling real-time fraud prediction accessible to non-technical business users.
Gender Detection System – Computer Vision Model
June 17, 2026 – Present
• Developed a CNN-based gender classification model using OpenCV for image preprocessing on 5,000+ facial images. • Trained and optimized models in TensorFlow and PyTorch, achieving ~90% prediction accuracy. • Implemented data augmentation and preprocessing techniques to improve model performance and reliability.
Movie Recommendation System - Content-Based Filtering
June 17, 2026 – Present
• Built a content-based recommendation engine using cosine similarity on TF-IDF vectorized movie metadata, delivering personalized suggestions with 85%+ relevance accuracy. • Integrated live TMDB API calls and deployed via Streamlit, enabling dynamic, real-time recommendations across a catalog of 5,000+ movies.
Data Science – Applied Machine Learning & Analytics
Unknown
June 1, 2026 – Present
Programming with Python
Unknown
June 1, 2026 – Present
Programming with C & C++
Unknown
June 1, 2026 – Present
HTML & CSS - Web Development Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from fraud detection to recommendation systems and computer vision, indicates a broad interest in data science and analytics applications. Their experience in two Data Analyst roles, coupled with a Bachelor's in Computer Science (AI & ML), aligns well with a data-driven culture. The emphasis on automating processes, improving efficiency, and delivering actionable insights suggests a results-oriented mindset. The NCC Cadet activity also points to discipline and structured execution, which are positive cultural attributes. The low psychometric score, however, could be a flag for cultural fit regarding work attitude or team collaboration, requiring deeper exploration.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in addressing class imbalance in fraud detection and optimizing model performance. Their experience in collaborating with functional leaders and business partners indicates good teamwork and communication skills. The ability to operate with high ownership and minimal supervision, as stated in the summary, suggests a proactive work attitude. The psychometric test score is low, which might indicate potential areas for development in logical reasoning, stress handling, or team collaboration, but this needs further validation.