Headline

Data Analyst @Corporate Web Solutions || Python, SQL || Power BI, Tableau || Machine Learning || Pandas, NumPy || EDA, KPI Reporting || Predictive Modeling, Data Visualization

About

👩‍💻 Aspiring Data Analyst | Data Science | Business Intelligence Hi, I’m Bysani Sree Lalitha Devi, an aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, Tableau, and Machine Learning. I am passionate about transforming raw data into meaningful insights through data analysis, visualization, and predictive modeling. I specialize in data cleaning, transformation, exploratory data analysis (EDA), dashboard development, and KPI reporting, helping businesses make informed decisions using data-driven strategies. With experience in real-world projects and internships, I enjoy solving analytical problems and building impactful solutions. 💡 What I Do 🔹 Perform data cleaning, preprocessing, and transformation for accurate analysis 🔹 Conduct EDA and statistical analysis to identify trends and business insights 🔹 Build interactive dashboards using Power BI and Tableau for KPI tracking 🔹 Develop machine learning models for predictive analytics 🔹 Create reports and visualizations to support data-driven decision-making 🛠️ Tech Stack Programming: Python, SQL Libraries & ML: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn BI & Visualization: Power BI, Tableau, MS Excel Analytics: EDA, Statistical Analysis, Predictive Modeling, KPI Reporting Database: MySQL, ETL, Data Cleaning & Transformation Tools: Jupyter Notebook, Git, GitHub, Power Query 💼 Experience Data Science Intern – Corporate Web Solutions • Cleaned and transformed datasets for structured analytical processing • Applied preprocessing techniques for handling missing values and outliers • Evaluated machine learning models using accuracy metrics and analytics Web Development Intern – 1 Stop • Developed responsive user interfaces using HTML, CSS, and JavaScript • Improved webpage performance and collaborated on API integrations 🚀 Projects 🏨 Hotel Booking Prediction System Analyzed 10K+ booking records and built a Random Forest model achieving 85% accuracy for cancellation prediction. 🛒 Customer Shopping Behavior Analysis Analyzed 5K+ customer records using Python to identify purchasing trends and generate business insights through visual analytics. 🏆 Certifications ✔ Data Analytics with Microsoft Power BI – NASSCOM ✔ Python Web Developer – Cognizant Foundation 🎓 Education 🎓 B.Tech – Computer Science & Engineering (2022–2026) 🎯 Career Focus I am actively looking for opportunities in: 👉 Data Analyst 👉 Data Scientist 👉 Business Intelligence / Analytics Roles 📩 Let’s connect and turn data into impactful business insights! 🚀

Location

Proddatur

Work experience

Data Science Intern at Corporate Web Solutions, Feb 2025 - Aug 2025 · 7 mos, Greater Bengaluru Area, • Cleaned and transformed raw datasets to ensure data accuracy, consistency, and structured analytical processing. • Handled missing values and outliers using preprocessing techniques to improve dataset quality for analysis and modeling. • Evaluated model performance using accuracy metrics and analytical techniques to support data-driven insights and predictions.

Web Development Intern at 1 Stop, Feb 2024 - Jun 2024 · 5 mos, Hyderabad, Telangana, India, • Developed responsive user interfaces using HTML, CSS, and JavaScript to improve application usability across devices. • Optimized user experience and webpage performance by improving frontend responsiveness and reducing loading time. • Collaborated with backend teams for API integration and frontend functionality testing to ensure smooth application workflows

Education

Bachelor of Engineering, Computer Science Engineering, Gouthami institute of technology and management for women