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Data Analyst with 1+ years in AI/LLM evaluation and data insights.
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in Python, SQL, and Power BI, along with expertise in AI/LLM evaluation and data annotation. Skilled in exploratory data analysis (EDA), data visualization, and assessing LLM outputs for accuracy and quality. Focused on delivering data-driven insights and supporting effective decision-making.
Mahatma Jyotiba Phule Govt Polytechnic
Diploma · Computer Science and Engineering
August 1, 2022 – June 30, 2022
IPS ACADEMY
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2025
Saraswati Vidhya Mandir
Higher Secondary School
June 1, 2019 – May 31, 2019
Innodata
AI LLM Analyst
March 1, 2026 – Present
India
Decan AI Expert
AI Evaluation Analyst
January 1, 2026 – March 1, 2026
India
BITBYTE ROBOTRONIX INDIA
Data Analyst Intern
June 1, 2025 – December 1, 2025
India
Sales Data Analysis - SQL Case Study
January 1, 2026 – June 1, 2026
Performed data cleaning and transformation by creating structured tables, handling null values, and deriving new features such as age groups and customer demographics. Evaluated sales performance across regions, platforms, and time periods, identifying trends in customer behavior and revenue distribution. Calculated key metrics such as total transactions, monthly sales, platform-wise contribution, and demographic-based sales percentages. Identified high-performing customer segments and sales drivers to support data-driven decision-making.
Titanic Survival Prediction
January 1, 2026 – June 1, 2026
Built a machine learning classification model to predict passenger survival based on features like age, gender, ticket class, and family size using logistic regression and decision tree algorithms. Performed data cleaning, preprocessing (handling missing values, encoding), and exploratory data analysis to uncover key insights.
Data Analysis of Superstore Dataset
January 1, 2026 – June 1, 2026
Conducted a comprehensive analysis of the Superstore dataset using Python and its libraries to identify sales trends, profit margins, and regional performance. Executed exploratory data analysis (EDA) to uncover key insights related to top-performing categories, customer segments, and loss-making areas. Created dynamic visualizations using Matplotlib and Seaborn to highlight relationships between discounts, shipping methods, and profitability.
Cultural Fit Analysis
The candidate's project diversity, ranging from traditional data analysis to machine learning and LLM evaluation, suggests a broad interest in data-related fields. The target role of Data Analyst aligns well with their internship experience and personal projects. However, the recent shift to AI/LLM evaluation roles might indicate a slightly different career trajectory than a pure Data Analyst, which could be a point of discussion for cultural fit and long-term goals.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking and a focus on delivering data-driven insights, which are crucial for a Data Analyst role. Their experience in evaluating LLM outputs suggests attention to detail and quality assessment. The project descriptions indicate an ability to work with diverse datasets and present findings.