Headline

Data Analyst | Transforming Complex Data into Actionable Insights | Python, SQL, Power BI, ML | MSc Big Data Analytics

About

Data Analyst blending economic theory with advanced analytics to solve meaningful problems. Currently open to new roles where I can leverage my technical expertise to drive strategic impact. My journey started with a deep dive into economics at the University of Calcutta and has evolved into an MSc in Big Data Analytics at St. Joseph's University. I thrive on bridging the gap between raw numbers and real-world solutions. What I bring to the table: →Technical Proficiency: Strong command of Python, SQL, and Advanced Excel. →Analytical Rigor: Certified expertise in linear algebra, probability, and complex statistical analysis. →Visual Storytelling: Proven ability to build dynamic, easy-to-read dashboards in Power BI and Google Looker Studio. →Impact in Action: During my recent internship at the Red Dot Foundation - Safecity, I had the opportunity to analyze a massive dataset of 22,000+ records. By building interactive regional dashboards, I helped translate overwhelming data into clear safety trends and actionable strategies. I am currently seeking full-time opportunities. ✉ Email me at: trishapaul2502@gmail.com

Location

Bengaluru

AI stack

claude code

claude

codex

github copilot

hugging face

langchain

Work experience

Data Analyst trainee at TEOCO, Jan 2026 - Present · 7 mo, Kolkata, BOT Team (Tools: Python, Selenium, LLMs, Prompt Engineering) ​Built LLM-based PDF extraction to pull structured data from unstructured invoice PDFs, validating JSON outputs and refining prompts to improve extraction accuracy.​Designed and implemented an email automation system that auto-classified incoming emails using subject/body keyword and attachment-based rules, structuring logic in Excel and building Python scripts to automate sorting on Outlook. ​Ran daily Selenium bot operations on Paymentus portals, monitoring failures and ensuring uptime. ​Invoice Automation Team (Client: T-Mobile) (Tools: Excel, Oracle SQL, Python, Monarch Pro, JIRA, Bitbucket, Sourcetree) ​Developed and maintained automated invoice validation workflows for T-Mobile, ensuring billing accuracy and reducing manual effort. ​Wrote Oracle SQL queries and performed exploratory data analysis (EDA) to validate invoice data, strengthening reporting accuracy and data governance

Data Science Researcher at Kathmandu University School of Management, Jun 2025 - Jul 2025 · 1 mo, Remote, → Data Extraction & Preprocessing: Scraped and preprocessed 290,000+ multilingual reviews across 25 countries using Python (BeautifulSoup) and UTF-16 encoding, effectively reducing data loss by 40%. → NLP & Topic Modeling: Built an LDA topic modeling pipeline that achieved 0.45-0.48 coherence scores across 4 metrics, successfully extracting 21 actionable themes from negative application reviews. → Cross-Cultural Analytics: Quantified cultural patterns using the Hofstede framework and custom NLP features, revealing a 3.7x higher individualism score in Western markets compared to Asian markets. → Data Visualization & Strategy: Designed PCA visualizations and heatmaps using Matplotlib and Seaborn, translating complex cultural insights into targeted regional product localization strategies.

Data analyst intern at Red Dot Foundation - Safecity, May 2025 - Sep 2025 · 5 mos, → Data Analysis & Stakeholder Reporting: Analyzed 22,000+ records utilizing Python, Excel pivot tables, and correlation analysis to identify critical safety patterns, delivering actionable monthly insights to police stakeholders to guide community intervention strategies. → Dashboard Development & Visualization: Engineered and deployed interactive dashboards using Google Looker Studio and Power BI to visualize district-level trends and reporting barriers, enabling data-driven decision-making across 12+ geographic regions. → Process Automation & Pipeline Optimization: Collaborated with a cross-functional data team to build automated cleaning pipelines for complex 55-column datasets using Python, reducing processing time by 50% while consistently meeting tight 48-hour reporting deadlines.

Data entry at CRY - Child Rights and You, Mar 2025 - Apr 2025 · 2 mos, → Managed database entry and quality control for child welfare program data. → Ensured data accuracy and completeness for reporting and analysis.

Academic Peer Tutor( economics) at St Joseph's University, Aug 2024 - Dec 2024 · 5 mos, Bengaluru, Karnataka, India

Education

Msc in big data analytics, St Joseph's University

Msc financial economics, Gokhale Institute of Politics and Economics

Public links

github: https://github.com/Trishapaul5