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Lalitha Pottelu

Entry-level Data Analyst · MCA student

Tirupati, Andhra Pradesh, India

@lalitha_

0 followers

🎓 Master of Computer Applications at JNTU · Graduated 2025

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About

Entry-level Data Analyst with an MCA and a B.Sc. in Statistics, with hands-on experience in SQL, Python, Power BI, Excel, and Tableau through academic and portfolio projects. Strong foundation in statistical analysis, data preparation, exploratory analysis, KPI reporting, dashboard development, and predictive modeling.

Experience

  • Python & Data Analytics Trainee
    Mastery Smartech Solutions Certificate
    Feb 2025 – Aug 2025

    Completed an internship focused on Python and Data Analytics as part of the MCA final semester. Worked on data analysis activities involving Python programming and data preparation. Contributed to project development and support activities during the internship.

Education

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
Python
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL DAX ETL NumPy Flask Pandas Seaborn Matplotlib Oracle SQL scikit-learn Data Cleaning Random Forest Data Modeling Trend analysis Data validation Data Engineering Feature Engineering Statistical Analysis

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Tableau VS Code Power Query Google Colab Microsoft Excel Jupyter Notebook Microsoft Power BI

Projects

  • Academic Performance Prediction Based on Multisource Behavioral Data
    Python, Pandas, NumPy, scikit-learn, Random Forest, Flask

    Developed a Random Forest classification model to predict student academic performance. Prepared and transformed datasets using Pandas and NumPy for predictive analysis. Examined behavioral, demographic, and academic factors associated with student performance. Evaluated the model using an 80:20 train-test split, achieving 98.76% test accuracy. Implemented a Flask web interface to make the trained prediction model accessible for user inputs.

  • E-Commerce Sales & Customer Analytics
    Python (Pandas, NumPy), SQL, Power BI, Excel, Matplotlib

    Examined e-commerce transactions to identify sales trends, customer behavior, and performance patterns. Cleaned and transformed datasets using Pandas and SQL to prepare reliable data for analysis. Evaluated product, customer, transaction, and engagement attributes to uncover meaningful business trends. Designed interactive Power BI dashboards to track KPIs, sales trends, and customer insights. Derived findings related to revenue, customer activity, and product performance to support business analysis.

Courses & certifications

  • Deloitte Data Analytics Job Simulation · Forage · 2026
  • Data Analytics Course · PySpiders Development Center, Bengaluru · 2026

🏆 Achievements & awards

  • Gold Medal — First Rank, MCA · 2025

    Received Gold Medal for First Rank in MCA from SVCE.

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