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Assessing your cultural and operational fit
Data Science with less than a year in data analysis, machine learning, and Python-based projects.
Driven BCA graduate with substantial practical experience in data analysis, machine learning, and Python-based projects. Skilled in Python, R, MySQL, and Tableau, with hands-on experience in analyzing real-world datasets and addressing business-related challenges. Proven capability to derive actionable insights through statistical analysis and data visualization. Analytical, flexible, and enthusiastic about advancing in a data-centric position while supporting data-driven decision-making and the success of the organization.
Lovely Professional University
Bachelor in Computer Application · Computer Application
January 1, 2022 – January 1, 2025
Jhikira High School
Higher Secondary (12th) · Commerce
January 1, 2021 – January 1, 2022
Jhikira High School
10th · Science
January 1, 2018 – January 1, 2019
Investment Recommendation System
February 1, 2025 – June 1, 2025
Developed intelligent investment recommendation system using Python and machine learning algorithms to analyze market trends, risk profiles, and historical data for personalized investment suggestions. Implemented predictive models to assess portfolio performance and optimize asset allocation strategies, resulting in data-driven investment decisions. Created interactive dashboard for visualizing investment opportunities and risk assessments, enabling users to make informed financial decisions based on real-time market analysis.
Social Media Effect on Mental Health
September 1, 2024 – November 1, 2024
Conducted comprehensive data analysis study examining correlation between social media usage patterns and mental health indicators using Python statistical libraries and visualization tools. Analyzed dataset of 5000+ user responses to identify key factors contributing to anxiety, depression, and well-being related to social media consumption. Generated actionable insights through data visualization and statistical modeling, presenting findings on usage duration, platform types, and their psychological impact for research and awareness purposes.
Customer Segmentation
April 1, 2024 – May 1, 2024
Developed customer segmentation model using R to categorize customers based on behavior and demographics, enabling targeted marketing strategies and optimized resource allocation. Implemented data-driven approach to extract actionable customer insights, improving business decision-making for personalized marketing and product development. Enhanced customer satisfaction and retention rates through accurate segmentation analysis, directly impacting marketing ROI and business performance metrics.
SQL for Data Analysis
Unknown
June 1, 2026 – Present
Data Analysis with Python
Unknown
June 1, 2026 – Present
Programming for Everybody
Unknown
June 1, 2026 – Present
What is Data Science?
Unknown
June 1, 2026 – Present
Python (Basic) Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of data science, from customer segmentation to social impact and financial recommendations. This breadth suggests an adaptable mindset. The self-driven pursuit of certifications indicates a proactive learning attitude, which aligns well with a culture of continuous improvement. The projects are all academic, which is expected given the experience level, but they show initiative and a foundational understanding relevant to the target role.
Soft Skills & Operational Fit
The candidate highlights problem-solving, quick learning, good communication, adaptability, time management, and critical thinking as personal skills. These are valuable for operational fit, especially in a data-centric role requiring continuous learning and problem resolution. However, without behavioral assessment data, the practical application of these skills cannot be fully validated.