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Data Analyst with less than a year in SQL & Python
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Assessing your cultural and operational fit
Data Analyst with 9 months of experience in leveraging Python, SQL, and Tableau for in-depth data analysis, visualization, and insight generation. Skilled in cleaning, transforming, and modeling large datasets to identify trends, optimize processes, and support data-driven decision-making. Proven ability to create interactive dashboards and reports for various domains, including e-commerce, logistics, and market analysis.
SCALER Academy
Professional Training · Data Science & Machine Learning
August 1, 2024 – June 30, 2025
Uttaranchal University
MCA · Data Analytics, Databases, and Statistical Computing
August 1, 2023 – June 30, 2025
SWIL India Pvt Ltd
SQL Developer
January 1, 2026 – Present
India
Versatile Prime info soft Pvt. Ltd.
Data Analyst
August 1, 2025 – October 1, 2025
India
COVID-19 Data Analysis
November 1, 2025 – June 1, 2026
We analyzed a real-world COVID-19 dataset covering 10+ countries and 13+ health-related metrics, alongside 10,357 survey responses on behavioral and health changes during the pandemic. Built data cleaning, transformation, and visualization pipelines to uncover insights related to mental health, mobility restrictions, and infection patterns. Generated interactive dashboards & statistical reports to highlight key correlations between lockdown phases, public behavior, and case fluctuations.
Linkedin Job Posting 2024
July 1, 2025 – November 1, 2025
Collected and analyzed 8,000+ job postings using Python to identify key trends in roles, skills, and locations. This involved creating 10+ visualizations to explore patterns across job titles, experience levels, industries, and geographic demand. The analysis revealed critical market demands, including the top 10 hiring cities and 5 most common job titles. Notably, 76% of postings preferred Python, and 58% targeted entry-level roles, particularly within the tech and finance sectors. A significant finding was that remote jobs constituted 35% of all postings, indicating a growing trend towards flexibility in the data job market.
E-Commerce Profitability & Trend Dashboard
July 1, 2025 – June 1, 2026
This interactive Tableau dashboard visualizes 4.2M+ in sales and 1.1M in profit from Indian e-commerce data, highlighting a 26.2% overall profit margin through advanced charts and calculated fields. The Consumer segment drives 47.8% of total sales, with the South region showing the highest profit margin at 29.5%, providing clear insights into key performance areas. The dashboard identified underperforming sub-categories like Tables and Bookcases, enabling data-driven decisions for cost optimization and demonstrating expertise in data storytelling.
Delhivery Logistic Data Analysis
July 1, 2025 – June 1, 2026
Performed data analysis on Delhivery logistics datasets to evaluate shipment delays, warehouse performance, delivery efficiency, and route operations. Cleaned, transformed, and validated raw logistics data using Pandas, NumPy, Excel, and statistical techniques to identify patterns and operational bottlenecks. Developed visual dashboards and reports using Matplotlib and Seaborn to analyze delivery trends, transit times, and last-mile performance.
Data Science & Machine Learning
SCALER Academy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse interest in various data domains, including e-commerce, logistics, public health, and job market analysis. This breadth of application suggests adaptability and a willingness to tackle different types of business problems. The academic nature of most projects, combined with limited professional experience, indicates a foundational fit for roles that value continuous learning and practical application of skills. The current SQL Developer role, while related, is a slight deviation from a pure Data Analyst focus, but the previous Data Analyst role and project work align well with the target role.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, debugging ability, and team collaboration as soft skills. Their project descriptions indicate an ability to work through complex data problems and present findings clearly, which aligns with the analytical and communication demands of a Data Analyst role. The academic projects also suggest an ability to work independently and as part of a team.