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Data Analyst with less than a year in Data Analysis & Python
Computer Science undergraduate and aspiring Data Analyst / Data Science with hands-on experience in data analysis, data visualization, predictive modeling, statistical analysis, and backend development. Skilled in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, Java, and business intelligence tools including Tableau and Power BI. Practiced in exploratory data analysis (EDA), hypothesis testing, A/B testing, feature engineering, machine learning, REST API development, and relational database management (MySQL, PostgreSQL). Completed industry-aligned virtual experience programs with JPMorgan Chase, British Airways, and Tata Group covering quantitative research, customer default prediction, sentiment analysis, and AI-driven analytics. Strong communicator able to translate complex data into clear, actionable business insights within Agile teams.
Maharishi Markandeshwar (Deemed to be University), Mullana
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Xplore Training Program
Java Full Stack Trainee
May 1, 2025 – June 1, 2025
India
CodeSoft
Software Development Intern
May 1, 2024 – June 1, 2024
India
Sales Performance Dashboard
June 1, 2026 – June 1, 2026
Collected, cleaned, and pre-processed 20,000+ rows of retail sales data using Python (Pandas, NumPy) and SQL queries. Performed exploratory data analysis (EDA) and statistical analysis to identify sales trends, top-performing regions, and seasonal patterns. Designed an interactive Tableau dashboard tracking KPIs including revenue growth, regional performance, and customer segmentation. Communicated data-driven insights to stakeholders, supporting simulated improvements in marketing strategy and profitability.
E-Waste Management System
June 1, 2026 – June 1, 2026
Built RESTful APIs for full CRUD operations across 3 user roles using Django REST Framework and PostgreSQL, enabling structured data storage and retrieval for analytics. Implemented JWT-based authentication and input validation to maintain secure and consistent data pipelines. Refactored code structure and improved technical documentation to support scalability, maintainability, and team collaboration.
Quantitative Research Virtual Experience Program
JPMorgan Chase & Co. - Forage
June 1, 2026 – Present
Data Science Job Simulation
British Airways - Forage
June 1, 2026 – Present
Data Analytics Job Simulation
Tata Group - Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse academic projects and virtual experience programs (JPMorgan Chase, British Airways, Tata Group) demonstrate a proactive learning attitude and exposure to various industry contexts. Their involvement in team-based coding practices and collaboration in Agile sprints indicates a willingness to work in a team-oriented environment. The breadth of skills across data analysis, machine learning, and backend development suggests adaptability and a broad interest in technical domains, which can contribute positively to team dynamics.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication skills, teamwork, and structured problem-solving, which are essential for a Data Analyst role. Participation in Agile sprints and code reviews indicates an understanding of collaborative development practices. The ability to translate complex data into actionable business insights suggests good operational fit for data-driven decision-making environments.