Korrapati Jaswanth 🇮🇳

• Analyzed user behavior, course engagement, and platform performance data to generate actionable product insights. • Collaborated with product, marketing, and training teams to improve course offerings and learning experience. • Built dashboards and reports using data visualization tools to track key product metrics such as user growth, course completion rates, and conversion rates. • Performed data analysis using SQL and Excel to support product decisions and optimize learning outcomes. • Conducted A/B analysis and monitored product performance to identify opportunities for improvement. • Assisted in identifying user pain points and recommended product enhancements to improve platform usability and engagement. • Provided data-driven insights to support strategic decisions for course launches and training programs.

• Provided personalized guidance to individuals navigating their Data Science and Data Analysis journeys. • Curated and shared useful resources to enhance learning and skill development. • Offered clear advice on projects and skills to focus on, helping mentees overcome challenges. • Engaged with a community of learners on Topmate to foster growth in Data Science and Machine Learning.

Regularly create and share insightful content on LinkedIn to educate and engage audiences in the 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 domain. Key topics include:- - 𝐏𝐲𝐭𝐡𝐨𝐧 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 (core concepts, essential libraries like Pandas, NumPy, and Matplotlib) - 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 (model-building, optimization techniques, and real-world applications) - 𝐒𝐐𝐋 for data manipulation and 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 for visualization - 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐩𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧 strategies, roadmaps for career growth, and industry best practices To date, I’ve covered critical subtopics such as:- - Curating Python interview Q&A series to demystify technical screenings - Highlighting key functions in Python libraries for efficient data analysis - Breaking down complex concepts into beginner-friendly guides - Providing actionable roadmaps for aspiring Data Scientists By combining theoretical knowledge with practical insights, I aim to empower professionals and enthusiasts to navigate the evolving landscape of data-driven decision-making.

Project Bhaasha is a language-learning platform that helps people learn 𝐓𝐞𝐥𝐮𝐠𝐮, 𝐓𝐚𝐦𝐢𝐥, 𝐊𝐚𝐧𝐧𝐚𝐝𝐚, 𝐇𝐢𝐧𝐝𝐢, 𝐚𝐧𝐝 𝐄𝐧𝐠𝐥𝐢𝐬𝐡 in a simple and enjoyable way. We believe that language is a bridge to confidence, culture, and opportunity. At Bhaasha, learners don’t just learn — they grow, connect, and can even earn by teaching or supporting others. 𝐎𝐮𝐫 𝐌𝐢𝐬𝐬𝐢𝐨𝐧: 🔸To simplify Indian languages for all age groups 🔸To provide affordable learning through booklets and activities 🔸To empower individuals to earn by teaching and sharing knowledge 🔸To celebrate every culture and voice through language 𝐖𝐡𝐨 𝐂𝐚𝐧 𝐉𝐨𝐢𝐧: 🔸Students looking to improve communication skills 🔸Job-seekers preparing for multilingual roles 🔸Homemakers eager to express in multiple languages 🔸Anyone passionate about learning and sharing knowledge 📚 𝐉𝐨𝐢𝐧 𝐭𝐡𝐞 𝐌𝐨𝐯𝐞𝐦𝐞𝐧𝐭: Be part of a community where learning leads to empowerment and growth. 👉 𝐃𝐞𝐦𝐨 𝐆𝐫𝐨𝐮𝐩 𝐋𝐢𝐧𝐤:- [https://chat.whatsapp.com/FNTpRFsTETeBpjPAim9cjh]

• Led a comprehensive customer segmentation analysis project on over 10,000 transactional records using MS SQL Server. • Identified behavior patterns by grouping customers based on recency, frequency, and profit contribution. • Tracked monthly sales trends, revealing a 15%+ increase in Q4 sales year-over-year and calculating an ~11% churn rate. • Developed KPIs and insights using advanced SQL functions to support data-driven decision-making at Learnbay, a dynamic startup in Bengaluru.

• Completed a Simulation focused on advising a hypothetical social media client as Data Analyst at Accenture • Cleaned, modelled and analyzed 3 datasets to uncover insights into content trends to inform strategic decisions. • Prepared PowerPoint report to communicate key insights for the client and internal stakeholders.

At BCG X, I am involved in leveraging data science to drive business transformation and deliver competitive advantage. My key responsibilities include:- 1️⃣Business Understanding & Problem Framing: Collaborating with stakeholders to understand the business context and define clear, impactful problem statements. 2️⃣Exploratory Data Analysis & Data Cleaning: Conducting in-depth analysis, cleaning, and preparing data to ensure high-quality, actionable insights 3️⃣Feature Engineering: Enriching datasets through domain expertise and external data sources to improve model performance. 4️⃣Modeling & Evaluation: Developing and validating predictive models, ensuring their accuracy and reliability for informed decision-making. 5️⃣Insights & Recommendations: Communicating complex findings and translating predictions into strategic, business-driven recommendations for stakeholders.

During my internship, I gained proficiency in Python and machine learning algorithms, culminating in a project focused on loan prediction using the Decision Tree algorithm.

During my B-Tech journey, I learned invaluable lessons from my failures, which taught me how to handle difficult situations and stay calm under pressure. I developed strong time management skills, consistency, and honed both my soft and technical skills. Above all, my experiences in B-Tech have shown me that failure is a stepping stone to perfection.