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Data Analyst with less than a year in Python, SQL, Tableau, and Generative AI
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with expertise in Python, SQL, MS Excel, Tableau, Generative AI, and data visualization libraries such as Matplotlib, Pandas, NumPy, and Azure. Highly skilled in data analysis, data visualization, Prompt Engineering, and the creation of interactive dashboards to drive business performance. Proficient in analyzing large datasets, utilizing statistical analysis and data-driven strategies to deliver actionable insights and optimize business processes. Adept at solving complex problems and utilizing data modeling, data wrangling, and data storytelling techniques to support decision-making.
Sambalpur University Institute of Information Technology
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Kendriya Vidyalaya Paradip Port
Secondary School Examination · CBSE
June 1, 2020 – May 31, 2022
Sales Report Analysis Dashboard Using Excel
June 24, 2026 – Present
Designed an interactive Sales Dashboard in Excel to track regional and monthly sales performance. Utilized Pivot Tables, Charts, and Slicers for dynamic data exploration. Performed data cleaning and transformation using Excel functions like VLOOKUP, IF, and TEXT. Identified 3 top-performing product categories driving 60% of revenue, enabling data-driven marketing strategy adjustments.
Zomato Data Analysis Using Python
June 24, 2026 – Present
Analyzed 50,000+ rows of Zomato restaurant data using Python (Pandas, NumPy) to extract insights on 5+ cuisine categories across 10 cities. Cleaned and preprocessed large datasets for accurate analysis. Visualized trends using Matplotlib and Seaborn for better decision-making. Identified top-rated restaurants, popular cuisines, and cost distribution across cities. Delivered actionable insights to improve restaurant listing strategies.
Pizza Sales Analysis Using My SQL
June 24, 2026 – Present
Analyzed 12 months of pizza sales data using MySQL, identifying top 5 revenue-driving items contributing to 40% of total sales. Wrote optimized SQL queries to extract insights on sales trends, customer preferences, and order patterns. Provided data-driven recommendations to improve inventory planning and marketing strategies.
Bank Financial Report Dashboard Using Tableau
June 24, 2026 – Present
Created an interactive financial dashboard in Tableau to visualize key banking metrics like revenue, expenses, and profit. Integrated multiple data sources and performed data cleaning for accurate reporting. Used KPIs, trend lines, and heat maps to highlight financial performance over time. Enabled real-time insights for stakeholders to support strategic financial decisions. Improved reporting efficiency by 50% through automated, visual analytics.
Weather Data Analysis Using Python
June 24, 2026 – Present
Analyzed historical weather data using Python (Pandas, NumPy) to identify patterns and anomalies. Cleaned and visualized 10+ years of historical weather data across 5 regions using Matplotlib and Seaborn. Detected seasonal variations and extreme weather conditions across different regions. Built insightful plots to support climate research and forecasting models.
Data Analytics by Deloitte
Deloitte
June 6, 2025 – Present
Data Analytics and Visualization by Forage
Forage
September 14, 2024 – Present
Python by HackerRank
HackerRank
August 11, 2024 – Present
SQL by Cognitive Class
Cognitive Class
May 29, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in data analysis across various domains (food, finance, weather, sales), indicating a diverse curiosity and willingness to apply skills to different business problems. The certifications from reputable organizations like Forage, HackerRank, Deloitte, and Cognitive Class suggest a proactive approach to learning and skill development. The target role of 'Data Analyst' aligns well with the demonstrated project experience and technical skills. However, the lack of professional experience means cultural fit aspects like navigating team dynamics or corporate environments are not yet evident.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and attention to detail through their project descriptions. The emphasis on data storytelling and delivering actionable insights suggests a good operational fit for roles requiring clear communication of data findings. However, without direct work experience, the practical application of teamwork, collaboration, and leadership in a professional setting is unproven.