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Data Analyst with 4+ years in Data Cleaning & Visualization
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Assessing your cultural and operational fit
Detail-oriented and analytical aspiring Data Analyst with strong skills in SQL, Excel, Python, and Data Visualization tools. Eager to apply data cleaning, analysis, and reporting abilities to solve real-world business problems and contribute to data-driven decision-making. Possesses experience in data cleaning, exploratory data analysis (EDA), data visualization, and business reporting using Python, SQL, and Tableau.
Parul University
B.Tech · Computer Science & Engineering
August 1, 2016 – July 1, 2020
FingerTips
Data Science Pro Program Trainee
January 1, 2025 – January 1, 2026
Ahmedabad, Gujarat, India
Lathiya Brothers Pvt Ltd
Marketing Manager
July 1, 2021 – July 1, 2024
India
Netflix Content Analytics Dashboard
January 1, 2026 – Present
Developed an end-to-end analytics project using PostgreSQL, Python, and Power BI to analyze Netflix Movies and TV Shows data. Performed data cleaning, exploratory data analysis (EDA), and trend analysis to identify content growth patterns, genre popularity, ratings distribution, and country-wise contributions. Built an interactive Power BI dashboard featuring KPI cards, content trends, genre insights, and rating analysis for data-driven storytelling.
View ProjectE-Commerce Sales Analytics Dashboard
January 1, 2026 – Present
Performed Sales data analysis using SQL and Python. Built interactive dashboard to analyze sales trend, customer behavior, and profitability using Power BI. Generated actionable insights to support data-driven decision-making.
View ProjectRCB IPL Performance Analysis Dashboard
January 1, 2026 – Present
Built an end-to-end cricket analytics project using PostgreSQL, Python, and Power BI to analyze batting performance, strike rates, match phases. Developed an interactive dashboard with KPI cards, phase analysis, boundary analysis, and batting analysis for data-driven insights.
View ProjectHome Price Prediction
January 1, 2026 – Present
Done Data Exploration & Pre-Processing using Pandas. Developed a machine learning model to predict home price based on Rooms, Landsize, Building Area, and Region. Applied Linear Regression algorithm and evaluated model performance using metrics such as R2 score, MAE, and RMSE.
Flight Fare Prediction
January 1, 2026 – Present
Developed a machine learning model to predict flight ticket prices based on factors such as airline, source, destination, duration, stops, and travel date. Applied Linear Regression algorithm and Compared multiple algorithms including Decision Tree Regressor and Random Forest Regressor. Evaluated model performance using metrics such as R² score, MAE, and RMSE.
Data Science Training
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering e-commerce, entertainment (Netflix), sports (IPL), and real estate, indicating a broad interest in applying data analysis across various domains. The career objective clearly aligns with a Data Analyst role. The blend of academic background in Computer Science and practical project experience, along with a recent internship focused on data science, suggests a strong commitment to the field. The previous Marketing Manager role, while not directly technical, involved data analysis and reporting, which is a transferable skill for cultural fit within a data-driven organization.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented and analytical approach. The marketing manager role suggests experience in analyzing sales and campaign data, which aligns with a business-oriented mindset crucial for a Data Analyst. The trainee role at FingerTips further emphasizes a structured learning approach to data analysis. However, direct evidence of stress handling or team collaboration from the provided data is limited.