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Data Analyst with less than a year in SQL & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Engineering graduate with experience in data analysis, SQL, Python, Power BI, and Excel. Skilled in data cleaning, data transformation, exploratory data analysis (EDA), and dashboard development to generate business insights. Proficient in relational databases, SQL queries, and data visualization for data-driven decision making. Additionally, possess foundational knowledge of data science concepts including basic machine learning, statistical analysis, and data modeling.
Marathwada Institute of Technology
B.Tech · CSE
August 1, 2021 – June 30, 2025
S.B.E.S. College of Science
HSC
June 1, 2020 – May 31, 2021
Sharda Mandir Girls High School
SSC
June 1, 2018 – May 31, 2019
Kainway Technology
Data Analyst Intern
August 1, 2025 – November 1, 2025
India
Indian Tourism SQL Database Analysis
June 24, 2026 – Present
Collected and analyzed an Indian tourism dataset containing information on tourist destinations, states, visitor statistics, and tourism trends. Designed and implemented a relational SQL database schema, creating normalized tables with primary and foreign keys to ensure data integrity. Imported raw datasets into MySQL and performed data preprocessing and validation to prepare the data for analysis. Conducted data cleaning by handling missing values, removing duplicates, and correcting inconsistent records. Developed and executed SQL queries using SELECT, WHERE, GROUP BY, HAVING, ORDER BY, and JOIN operations to extract actionable insights. Performed exploratory data analysis (EDA) using aggregate functions (COUNT, SUM, AVG) to evaluate tourism trends and visitor distribution across states. Identified top tourist destinations and state-wise tourism patterns, enabling structured insights and documented the analysis workflow on GitHub for reproducibility.
View ProjectFood Delivery Data Analysis
June 24, 2026 – Present
Collected and analyzed food delivery dataset containing information on orders, restaurants, cuisines, delivery time, ratings, and order costs. Performed data preprocessing and cleaning using Python (Pandas) by handling missing values, removing duplicates, and standardizing data formats. Conducted exploratory data analysis (EDA) to understand customer ordering behavior, popular cuisines, and restaurant performance trends. Used data visualization techniques (Matplotlib and Seaborn) to create charts such as distribution plots, bar charts, and correlation plots for better insight generation. Analyzed key business metrics including order frequency, delivery time patterns, and customer ratings to evaluate service performance. Identified customer preferences and high-demand restaurants/cines to highlight trends that could help improve operational decisions. Documented the complete analysis workflow and visualizations in a Jupyter Notebook and GitHub repository to ensure reproducibility and version control.
View ProjectData Analytics & Data Science Training
Fortune Cloud
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects show a proactive learning attitude and a genuine interest in data analysis across different domains (tourism, food delivery, stock market). The combination of academic background, internship, and personal projects indicates a driven individual. The skills acquired through certifications align well with the target role of Data Analyst, suggesting a good cultural fit for a data-centric team.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to data analysis, evidenced by detailed project descriptions covering data collection, cleaning, analysis, and documentation. Their collaboration with developers on a web application suggests an ability to work in a team and integrate data solutions into broader systems. The emphasis on reproducibility (GitHub, Jupyter Notebooks) indicates good operational practices.