Data Analyst with 3+ years in data visualization & reporting.
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Results-driven Data Analyst with 2.5 years of experience at Tata Consultancy Services. Expert in data validation, cleaning, and automated reporting to drive business decision-making. Proven track record of reducing manual reporting effort by 30% through Power BI and Excel automation. Strong technical foundation in SQL, Python, ETL processes, and Star Schema data modeling.
Amrita Viswa Vidyapeedam
Integrated BCA-MCA
August 1, 2017 – June 30, 2022
Nayaneethi Policy Collective
Data Analyst - Freelance
March 1, 2026 – May 31, 2026
India
DATA GUC
Data Analyst Intern
December 1, 2025 – March 1, 2026
India
Tata Consultancy Service
System Engineer
August 1, 2022 – December 31, 2024
Cochin, Kerala, India
Analysis of Social Media Usage Across Age Groups- Beat Educations
April 1, 2025 – December 31, 2025
Designed an end-to-end BI solution to analyze usage patterns of 1 Lakh users, identifying a 20% higher engagement rate for Senior Adults on Social Media. Created interactive Power BI dashboards to visualize demographic trends and segmentation, demonstrating the need for personalized content to boost retention in older age groups.
Customer Purchase Profitability Analysis- Beat Educations
April 1, 2025 – December 31, 2025
Engineered an full-lifecycle analytics pipeline, utilizing Power Query and DAX (YoY Growth, Gross Margin) for complex ETL tasks and designing a Star Schema model to ensure data integrity. Identified 3 underperforming product categories, leading to a potential 10% increase in gross margin through targeted retention strategies.
YouTube Spam Comment Detection
August 1, 2022 – December 31, 2024
Authored a research paper published by Springer (2023) on detecting social media spam using Natural Language Processing. Benchmarked six machine learning classifiers to identify the optimal model, achieving 91.39% accuracy with the AdaBoost algorithm.
View ProjectYouTube Spam Comment Detection
Springer
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer profitability to social media usage and recruitment analytics, indicates a broad interest in applying data analysis across different domains. The academic project on spam detection also shows an inclination towards research and advanced analytical techniques. This breadth of experience and continuous learning aligns well with a dynamic, data-driven organizational culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and business storytelling skills, which are crucial for a Data Analyst role. Their experience in stakeholder reporting and identifying actionable insights suggests good operational fit. The freelance and internship experiences indicate adaptability and a proactive approach to gaining relevant experience.