Data Analyst with 1+ years in business analytics and data-driven decision-making.
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Assessing your cultural and operational fit
Management graduate with a Computer Science background, skilled in SQL, Python, Power BI, and Excel. Experienced in business analytics, market research, KPI tracking, dashboard development, and data-driven decision-making through freelance and academic projects. Passionate about product management, business analysis, and product analytics, with a customer-first mindset and a strong interest in using data to solve customer problems and support product decisions.
University of Bath
MSc Master of Science in Management
August 1, 2023 – June 30, 2024
Madanapalle Institute of Technology and Sciences
B-Tech Computer Science and Engineering · Computer Science and Engineering
August 1, 2017 – June 30, 2021
ARUNYA FOODS LTD
Business & Data Analyst (Freelancer)
March 1, 2025 – April 1, 2026
India
IBM - The Future of Hiring: Harnessing AI for Fair Recruitment Practices
June 1, 2024 – August 1, 2024
Analyzed 1,000+ recruitment records using Python (Pandas, NumPy) to identify hiring patterns and bias. Performed data cleaning, data transformation, and exploratory data analysis (EDA) to evaluate factors influencing candidate selection. Conducted comparative analysis of 6 AI recruitment platforms to benchmark industry practices and identify key KPIs. Built Power BI dashboards to track hiring trends and generate data-driven insights improving recruitment decision-making. Collaborated with team members to translate analysis findings into reports and documentation for stakeholders and administrative support processes.
Edinburgh Tram Project: Project Evaluation
March 1, 2024 – May 1, 2024
Analyzed project planning, budget, scope, timeline, and risk management to identify key factors affecting project delivery. Evaluated stakeholder communication and governance using Gantt charts and RACI frameworks to improve project coordination. Assessed the application of Agile, Scrum, and Waterfall methodologies, recommending process improvements to enhance project execution and change management. Presented data-driven recommendations to mitigate project risks, improve stakeholder collaboration, and support successful project outcomes.
Cultural Fit Analysis
The candidate's academic projects (IBM, Edinburgh Tram Project) and freelance experience demonstrate a proactive approach to applying learned skills in diverse scenarios. The blend of Computer Science and Management degrees, coupled with a stated passion for product management and business analysis, suggests a versatile individual who can bridge technical and business needs. The projects show an interest in problem-solving and improving processes, which indicates a good cultural fit for analytical roles requiring initiative.
Soft Skills & Operational Fit
The candidate's project descriptions indicate collaboration with team members and stakeholder communication, suggesting good teamwork and presentation skills. The focus on data-driven decision-making and identifying profit margins aligns with a results-oriented operational fit. Experience with project evaluation methodologies (Agile, Scrum, Waterfall) indicates an understanding of structured work environments.