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Data Analyst with 2+ years in AI & Data Science, skilled in Python, SQL, and Power BI for data analy
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Assessing your cultural and operational fit
Data Analyst with a Master's degree in Artificial Intelligence and Data Science, experienced in data cleaning, exploratory data analysis (EDA), and dashboard development. Skilled in SQL, Python, and Power BI to analyze data and generate actionable insights. Strong interest in solving business problems using data-driven approaches and visualization techniques.
VIT Bhopal University
M.Tech · Artificial Intelligence & Data Science
August 1, 2024 – June 30, 2026
JNTU Anantapur
B.Tech · Artificial Intelligence & Data Science
August 1, 2020 – June 30, 2024
AI Chatbot using LLM Integration
June 1, 2024 – Present
Developed a Python-based chatbot application to process and respond to user queries. Implemented text preprocessing techniques including input cleaning and prompt structuring. Integrated an API-based Large Language Model (LLM) for dynamic response generation. Managed version control and collaboration using Git and GitHub.
Sales Insights Dashboard (Awesome Chocolates)
June 1, 2024 – Present
Built an interactive Power BI dashboard for Awesome Chocolates to track sales, profits, and product performance. Cleaned and transformed data using Power Query and created insights with DAX. Analyzed discounts, regions, and customer segments to find growth opportunities. Showcased skills in Power BI, Excel, and data storytelling. Visualized data insights using tools like Power BI and Python (Matplotlib) to support decision-making and event awareness.
Road Event Awareness using Autonomous Driving Dataset
June 1, 2024 – Present
Processed and cleaned the dataset for autonomous driving, handling missing values and outliers to ensure data quality. Engineered features related to road events (e.g., vehicle speed, road conditions) to enhance model performance. Developed and trained classification models using Scikit-learn and evaluated performance using Accuracy and F1-score.
Excel: Mother of Intelligence
Codebasics
June 1, 2026 – Present
Introduction to Internet of Things (Top 5%)
NPTEL
June 1, 2026 – Present
Google Data Analytics Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interest in data analysis, from business insights (Sales Dashboard) to autonomous driving data and LLM integration. This diversity suggests adaptability and a willingness to explore different domains within data science. However, the lack of professional experience or extracurricular activities makes it challenging to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on structured problems and deliver tangible outputs (dashboards, classification models). The academic nature of projects implies a learning-oriented individual. However, without professional experience or psychometric test results, it's difficult to assess operational fit, stress handling, or team collaboration skills.