Data Analyst with less than a year in Python-based data analysis & machine learning modeling.
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Assessing your cultural and operational fit
Data Analyst and ML Engineer with hands-on experience in data annotation, Python-based data analysis, machine learning modeling, and business intelligence. Skilled in Python, SQL, Power BI, Excel and data preprocessing. Experienced in building predictive models and interactive dashboards to support data-driven decision making.
Chandigarh University
Master of Computer Applications
August 1, 2023 – June 30, 2025
Chandigarh University
Bachelor of Computer Applications
August 1, 2020 – June 30, 2023
Innodata India Pvt. Ltd.
Senior Associate (Data Annotator)
September 1, 2024 – January 1, 2025
India
Loan Status Prediction
January 1, 2026 – June 1, 2026
Developed a supervised classification model using 15+ customer financial and demographic variables to predict loan approval status, achieving ~87% accuracy on test data. Cleaned and engineered features from 1,000+ loan records, evaluated multiple algorithms using precision and recall metrics, and improved model reliability by 18% after optimization.
House Price Prediction
January 1, 2026 – June 1, 2026
Built a regression-based predictive model using 12+ property and location attributes to estimate residential prices, achieving an R² score of 0.89 on validation data. Performed EDA and feature refinement on 1,500+ housing records, reducing prediction error by 22% through systematic model tuning and evaluation.
Zoom Car Analytics Dashboard
January 1, 2026 – June 1, 2026
Developed an interactive ZoomCar Business Analytics Dashboard using Power BI, SQL, analyzing 65,000+ bookings, 10,500+ customers, and 700 vehicles across 19 cities to track revenue, utilization, and customer behavior. Built KPI dashboards to monitor booking trends, fleet performance, customer segmentation, payment success rates, maintenance costs, and damage claims, enabling data-driven decision-making and operational insights. Performed data cleaning, transformation, and modeling on 180M+ INR transaction data, creating DAX measures and visualizations to identify revenue drivers, customer retention patterns, peak booking periods, and service quality metrics.
AI Response Quality Evaluation & Analytics
January 1, 2026 – June 1, 2026
Analyzed & Evaluated 1,500+ AI-generated responses based on defined criteria such as instruction following, content conciseness, completeness, groundedness, truthfulness, and overall quality. Leveraged Pandas to clean and preprocess 1000+ data points, performing exploratory data analysis (EDA) to uncover trends, anomalies, and rating inconsistencies in AI responses. Maintained Power BI dashboards to visualize response quality metrics across multiple evaluation criteria and AI use cases.
PG Diploma in Data Science
Imarticus Learning
June 1, 2026 – Present
Data Analyst Certification
DUCAT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data analysis and machine learning, aligning well with a Data Analyst role. The diversity of projects, from loan prediction to car analytics and AI response evaluation, shows adaptability and a broad application of data skills. The educational background in Computer Applications further supports a foundational understanding relevant to technical roles. The professional experience, though short, indicates a practical, quality-focused approach to data tasks. The certifications also show a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on data analysis and machine learning tasks. The data annotation role suggests attention to detail and adherence to quality protocols. Collaboration skills are mentioned in the professional experience, indicating an ability to work cross-functionally. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.