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Data Analyst with less than a year in Python, SQL & Data Manipulation
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Assessing your cultural and operational fit
Aspiring Data Analyst with strong foundations in Python, SQL, and data manipulation. Skilled in building and optimizing data pipelines, managing large datasets. Eager to contribute to designing efficient data solutions that support analytics, reporting, and decision-making. My aim is to contribute my skills and abilities for the growth of the organization and my professional career.
Saranathan College of Engineering
B.Tech. · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
COGNIFYZ TECHNOLOGIES
DATA SCIENCE INTERN
July 1, 2024 – August 31, 2024
India
PIZZA SALES ANALYTICS USING SQL
November 1, 2025 – June 1, 2026
In this project, Analyzed pizza sales data using SQL to uncover insights on customer behaviour, category performance, and revenue trends. Performed data cleaning, aggregations, and multi-table joins to calculate sales metrics, identify top/low-performing pizzas, and evaluate pricing patterns. Delivered actionable insights such as best-selling categories, underutilized items, and size-wise revenue contribution to support data-driven decision-making. Technologies and Libraries used in this project: SQL, PostgreSQL, Joins, Aggregations, Data Cleaning, Subqueries, Grouping, Filtering, and Real-world Analytical Querying.
UBER PICKUPS DATA ANALYSIS - NEW YORK CITY
April 1, 2025 – May 31, 2025
This project, involves a comprehensive data analysis pipeline applied to Uber pickup data in New York City. The workflow spans from data extraction and preprocessing, through to descriptive statistics and data visualization. It identifies peak hours, high-demand months, and the most active dispatch bases. Geolocation data (latitude and longitude) is used to visualize pickup hotspots. Pivot tables and visual tools reveal actionable insights on urban mobility. Technologies and Libraries used in this project: Python, Numpy, pandas, seaborn, matplotlib and plotly.
21 Days SQL Challenge
Indian Data Club
November 1, 2025 – Present
Data Analysis Real World use-cases- Hands on Python
Udemy
February 1, 2025 – Present
Python Certifications
Kaggle
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects cover diverse analytical scenarios (urban mobility, sales analytics, restaurant data), indicating adaptability and a broad interest in applying data analysis to different domains. Their academic background and certifications align well with a data-driven culture. The self-initiated project demonstrates proactivity and a willingness to learn independently.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, communication, and teamwork skills, which are crucial for a data analyst role. Their academic background in AI and Data Science, coupled with practical projects, indicates a structured approach to data challenges. The internship experience shows an ability to work within a professional data pipeline.