Data Analysis Science

ARCHANA MANIVANNAN

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Summary

Dedicated and versatile professional with a background in media reporting and data analysis, currently transitioning into the IT and data science field. Skilled in data analysis, visualization, and storytelling, with hands-on experience in predictive modeling, sentiment analysis, and AI-powered applications. A quick learner and effective team player, passionate about leveraging data-driven insights to support business decision-making and operational excellence. Work Experience

Executive Reporter Feb 2016 - Feb 2018

Malai Murasu TV Chennai,Tamil Nadu

• Managed and organized large datasets containing 1000+ news stories and reports while ensuring 99% data accuracy, which streamlined the editorial workflow and enhanced content processing efficiency.

• Assessed data-driven insights by analyzing audience trends, content performance, and engagement patterns, which optimized editorial strategies and increased reader interaction across digital platforms by 25%.

• Researched, analyzed, and edited over 500 news reports with a strong focus on factual accuracy, improving content credibility and increasing reader retention and audience engagement by 15%.

• Conducted investigative research and in-depth interviews to uncover critical insights for exclusive news stories that strengthened content authenticity and increased audience trust, resulting in an 18% growth in overall viewership. Sub Editor Jun 2015 - Feb 2016

Jananam Publication Chennai, Tamil Nadu

• Led in-depth surveys and research on key news topics, including a comprehensive analysis of the 2016 Tamil Nadu State Election, delivering data-driven insights that improved reporting accuracy and increased reader trust by 15%.

• Organized data-driven reports by analyzing news trends and audience insights, enhancing clarity and accessibility while driving a 20% increase in reader engagement.

• Proofread and edited multiple articles and reports to ensure 100% accuracy, readability, and grammatical precision while maintaining high editorial standards and reducing content revision time by 30%.

• Refined consistency in content structuring and indexing before publication by optimizing articles for searchability and audience engagement, leading to a 25% improvement in content discoverability on digital platforms. Junior News Reporter WIN TV – Chennai, Tamil Nadu Jul 2014 - Jun 2015 Trainee Puthiya Thalaimurai TV – Chennai, Tamil Nadu Dec 2013 - Jan 2014 Skills

• Programming & Databases: Python, SQL (MySQL, PostgreSQL), NoSQL (MongoDB)

• Data Analytics: Exploratory Data Analysis (EDA), Data Wrangling, Reporting, KPI Dashboards, Business Intelligence

• Data Visualization: Tableau, Power BI, Microsoft Excel, Matplotlib, Seaborn, Plotly

• Data Processing: Extract Transform Load (ETL), Pandas, NumPy, API

• Statistics: Descriptive Statistics, Inferential Statistics, Hypothesis Testing, Probability Distributions

• Machine Learning: Scikit-learn, Regression, Classification, Clustering, PCA, Predictive Modeling, Feature Engineering

• Natural Language Processing: SpaCy, NLTK, Text Vectorization (Bag of Words, TF-IDF, Word Embeddings)

• Other Tools & Technologies: Streamlit, Microsoft Office (Word, PowerPoint, Outlook), Copywriting, Data Enrichment Projects

Airbnb Data Analysis with Tableau GitHub Link

• Created an interactive Tableau dashboard to analyze Airbnb data, uncovering pricing trends, property patterns, and seasonal KPIs, which resulted in a 35% improvement in business decision-making within the hospitality industry.

• Utilized the MongoDB database for ETL and Exploratory Data Analysis (EDA) to develop a data processing framework that uncovered key insights on accommodation metrics and pricing strategies, enhancing operational efficiency by 40%.

• Tech Stack: Python, Tableau, PostgreSQL, MongoDB, Pandas, Plotly, Streamlit. HR Data Analysis using Power BI GitHub Link

• Designed interactive Power BI dashboards to track metrics such as attrition trends, workforce demographics, and department- wise performance, leading to a 30% improvement in decision-making.

• Extracted, transformed, and cleaned over 10000 employee records using SQL, ensuring 98% data accuracy while optimizing data workflows and streamlining HR reporting processes to provide faster and more reliable insights.

• Developed advanced data modeling in Excel with pivot tables, statistical analysis, and predictive modeling to identify turnover risks and optimize retention strategies while reducing employee churn by 15%.

• Tech Stack: Power BI, SQL, Microsoft Excel.

Customer Churn Prediction using Machine Learning GitHub Link

• Built a machine learning model for customer churn, achieving 94.7% accuracy, which significantly enhanced retention strategies, optimized customer lifecycle management, and provided actionable insights to reduce churn rates.

• Incorporated customer demographics, transaction patterns, and engagement metrics into the model, improving prediction accuracy by 12% and providing deeper insights into customer behavior.

• Introduced data preprocessing by automating Exploratory Data Analysis (EDA), feature engineering, and correlation analysis, resulting in improved model efficiency and reduced the training time by 20%.

• Tech Stack: Python, scikit-learn, NumPy, Pandas, Scipy, Streamlit. Amazon Product Reviews using NLP GitHub Link

• Engineered a data model to predict customer sentiment from Amazon product reviews and increased sentiment prediction accuracy by 50%, driving product improvement strategies.

• Performed data preprocessing through tokenization, stop-word removal, stemming, lemmatization, and applied TF-IDF feature engineering, leading to a 20% improvement in model accuracy and more efficient data processing.

• Evaluated sentiment trend analysis, extracted key themes, and analyzed emoji usage to generate actionable insights, while creating interactive visualizations with Streamlit that boosted user engagement by 35%.

• Tech Stack: NLTK, spaCy, Scikit-learn, Hugging Face Transformers, TextBlob, Streamlit. Health Application using Generative AI GitHub Link

• Created an AI-driven health application leveraging the Gemini 1.5 Flash API to analyze food images and provide detailed nutritional insights, including calorie counts, macronutrient breakdowns, and health assessments.

• Introduced personalized health evaluations to align user meals with dietary goals and offer tailored recommendations based on health conditions, fitness levels, and nutritional requirements, increasing user engagement by 25%.

• Engineered backend logic in Python and developed the Streamlit application to integrate APIs, automate food classification, optimize data processing and reduce analysis time by 40% while enhancing the user experience.

• Tech Stack: Python, Google Gemini AI, Pandas, Streamlit Certificates

• Microsoft Power BI Desktop for Business Intelligence Udemy Sep 2024

• Generative AI For Beginners - Google Gemini and Google Cloud Udemy Aug 2024

• Advanced Python Course IITM Feb 2024

• Certified Microsoft Excel GUVI Jan 2024

Education

IIT-M Advanced Programming and Master Data Science Aug 2023 - Feb 2024 GUVI Geek Networks Chennai, Tamil Nadu

Master of Arts - Mass Communication July 2012 - May 2014 PSG College of Arts And Science Coimbatore, Tamil Nadu Bachelor of Arts - English Literature July 2009 - May 2012 Bishop Heber College Trichy, Tamil Nadu

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