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Data Science with less than a year in Python, SQL, and Power BI for data analysis and visualization.
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Assessing your cultural and operational fit
Data Analyst Trainee actively pursuing hands-on training and building end-to-end analytics projects using Python, SQL, Excel, and Power BI. Possesses practical experience in data cleaning, EDA, feature engineering, dashboard creation, KPI reporting, and generating business insights from real-world datasets. Demonstrates proficiency in various data analysis and visualization tools and libraries through impactful projects like a Japanese Hiring Intelligence System, IPL Cricket Data Analytics Dashboard, and an Uber Reviews Analytics Dashboard.
Goel Institute of Technology and Management, AKTU
Bachelor of Technology (B.Tech) · Information Technology
August 1, 2020 – June 30, 2024
Japanese Hiring Intelligence System
January 1, 2026 – Present
Analyzed 2M+ recruitment records to uncover hiring trends, salary patterns, and candidate selection behavior. Cleaned and transformed raw HR data using Python, handling missing values, duplicates, and data standardization. Developed SQL Server queries and a 3-page Power BI dashboard to analyze hiring KPIs, JLPT impact, and salary insights. Designed and deployed a responsive analytics website using HTML, CSS, JavaScript, and GitHub Pages.
IPL Cricket Data Analytics Dashboard
January 1, 2026 – Present
Processed 278,205 delivery-level and 1,169 match-level records to surface player, team, venue, and toss insights. Used Python and SQL to derive phase-wise scoring patterns and top-performer rankings across 6 summary datasets. Built a 6-page Power BI dashboard covering batting, bowling, venue, and toss analysis – reducing insight time by 60%.
Uber Reviews Analytics Dashboard
January 1, 2026 – Present
Built and deployed an interactive Streamlit app to analyze ride reviews, surfacing sentiment patterns and customer pain points. Automated end-to-end data pipeline from raw review ingestion to live visual dashboard, accessible via public URL.
Data Analytics Job Simulation
Deloitte Australia
April 1, 2025 – Present
Data Analytics & Visualization Job Simulation
Accenture North America
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity (sports, HR, customer reviews) and engagement in virtual job simulations (Accenture, Deloitte) suggest a proactive and curious mindset, which aligns well with a learning-oriented culture. The pursuit of a Data Analyst Trainee role while still in education indicates a strong drive towards the target field. The breadth of technical skills listed (Python, SQL, Power BI, Streamlit, HTML/CSS/JS) shows a willingness to explore and adapt to various tools, contributing positively to cultural fit in a dynamic data science environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable insights and present them effectively through dashboards. The certifications from Accenture and Deloitte suggest an understanding of data storytelling, visualization best practices, and business problem-solving, which are crucial for operational fit in a data science role. However, without direct work experience, the practical application of these soft skills in a team or corporate environment is yet to be validated.