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Data Analyst with less than a year in AI/LLM evaluation and data analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.
Institute of Engineering & Science IPS Academy
B-TECH · Computer science engineering - Data Science
August 1, 2021 – June 30, 2025
Seva Sadan Higher Secondary School
High School
June 1, 2021 – May 31, 2021
INNODATA
Data Annotator (Freelancing)
March 1, 2026 – Present
India
Deccan AI
AI Evaluation Analyst
January 1, 2026 – March 31, 2026
India
CONNECTING DREAMS FOUNDATION
Data Analytics
October 1, 2025 – December 31, 2025
India
AirBnB Case Study (Power BI)
June 28, 2026 – Present
Developed an interactive Power BI dashboard to analyze Airbnb listing data, focusing on pricing trends, occupancy patterns, and location-based performance; Performed data cleaning and transformation using Power Query to ensure accuracy and consistency of the dataset; Conducted exploratory data analysis (EDA) to identify key factors influencing pricing and customer preferences; Created dynamic visualizations (KPIs, filters, slicers) to enable data-driven insights and improve decision-making.
Black Friday Sales Analysis (Python)
June 28, 2026 – Present
Performed data cleaning and preprocessing using Pandas, handling missing values and preparing data for analysis; Conducted exploratory data analysis (EDA) to identify customer purchasing behavior, spending patterns, and key influencing factors; Analyzed the impact of features such as age group, gender, occupation, and city category on purchase amounts; Created visualizations using Matplotlib and Seaborn to uncover trends and support data-driven insights.
Cultural Fit Analysis
The candidate's projects (Black Friday Sales, AirBnB Case Study) and experience (social initiatives, AI evaluation) demonstrate a diverse interest in applying data analysis across different domains. The 'Connecting Dreams Foundation' role indicates an interest in social impact, which can be a positive cultural fit for organizations valuing social responsibility. The freelancing and part-time roles suggest adaptability and initiative. The breadth of tools and techniques used (Python, Power BI, SQL, LLM evaluation) indicates a willingness to learn and adapt, which is beneficial for cultural fit in dynamic environments.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Communication, and Quick Learner as soft skills. The project and work experience descriptions indicate an ability to translate complex data into visualizations and insights, which aligns with problem-solving and communication. The AI evaluation roles suggest attention to detail and analytical rigor. However, without specific assessment scores for these areas, it's difficult to fully gauge the depth of these soft skills or operational fit beyond what's described in project work.