
Data Analyst with less than a year in Python, SQL, and Power BI
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
Seva Sadan Higher Secondary School
SCHOOL (X)
June 1, 2019 – May 31, 2019
Innodata, Noida
AI Analyst
March 10, 2026 – Present
Noida, Uttar Pradesh, India
Black Friday Sales Analysis(Python)
February 9, 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.
Power BI
Vois for Tech
June 1, 2026 – Present
Python for Data Science
IBM
June 1, 2026 – Present
Data Visualization
Tata Group (Forage)
June 1, 2026 – Present
SQL Basics
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales analysis and an Airbnb case study, along with experience in AI/LLM evaluation, indicates a broad interest in data applications. The freelance AI Analyst role and previous AI Evaluation Analyst position align with roles requiring adaptability and continuous learning. The academic background in Computer Science Engineering with a Data Science specialization further supports a strong foundational fit for data-centric roles.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Communication, and Quick Learner as soft skills. The project descriptions and work experience, particularly in AI/LLM evaluation, suggest an operational fit for roles requiring meticulous data analysis and interpretation. The ability to translate complex data into clear visualizations is a strong operational asset.