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Mangalapuri Avinash

B.Tech Computer Science Graduate • Venkatagiri, Andhra Pradesh • a*****************@gmail.com • +91*******759 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Data Analyst with 0-1 years of experience in data analysis and machine-learning internships; skilled in Python, SQL, Power BI, and end-to-end model development to turn raw data into actionable business insights and interactive dashboards.

Technical Skills

Programming Languages: Python,C
Frameworks and Libraries: Pandas,NumPy,scikit-learn,XGBoost,Matplotlib,Streamlit
Databases: SQL,MySQL,RDBMS concepts,Power Query
Data and Analytics: Power BI,DAX,MS Excel,Data modeling,Data cleaning,Exploratory Data Analysis EDA,Feature engineering,Model validation
Tools and Methodologies: Git,GitHub,Jupyter Notebook,OOP

Work Experience

BrightGeeks Technologies Pvt. Ltd.
Machine Learning Intern
10/2023 – 12/2023
Worked at BrightGeeks Technologies, a software/technology services employer; contributed to a real-time machine-learning project focused on gold price prediction and model evaluation.
Tech Stack: Python, Pandas, NumPy, scikit-learn, Matplotlib, Jupyter Notebook, Git, GitHub, Kaggle datasets
  • Built an end-to-end gold price prediction pipeline: data collection, preprocessing, feature engineering, model training and evaluation using Python, Pandas and scikit-learn to produce reproducible model artifacts.
  • Performed exploratory data analysis and visualization with Pandas and Matplotlib on Kaggle time-series datasets to identify missing data, seasonality, and high-impact predictors used in modeling decisions.
  • Designed and executed model validation workflows using cross-validation and R²-based evaluation to assess regression model generalization and guide selection of model variants.
  • Implemented preprocessing and training automation scripts in Jupyter Notebook, improving iteration speed and reproducibility for repeated experiments and comparisons.
  • Debugged and refactored model training code, applied best practices for data handling and versioning, and managed source using Git and GitHub to improve team collaboration.
  • Collaborated with the team on testing, documentation, and knowledge transfer; communicated model assumptions and validation results to stakeholders to support further product development.

Projects

Heart Disease Prediction using Machine Learning
Tools Used: Python, scikit-learn, XGBoost, Random Forest, Logistic Regression, Streamlit, Pandas, NumPy
  • Built and optimized classification models (Logistic Regression, Random Forest, XGBoost) using feature engineering and model tuning to improve predictive performance.
  • Implemented hybrid ensemble techniques to raise model accuracy from baseline Logistic Regression to a combined model achieving up to 94% accuracy on test data.
  • Applied data preprocessing, class balancing, and feature selection to improve model generalization and reduce overfitting.
  • Developed a Streamlit web application to enable real-time predictions and user input handling for stakeholder demonstration and usability testing.
Super Store Sales Analysis & 15-day Forecasting Dashboard
Tools Used: Power BI, DAX, Power Query, MS Excel, Data modeling, Pandas
  • Cleaned and transformed retail sales data using Power Query and Excel to prepare a consolidated dataset for reporting and forecasting.
  • Designed an interactive Power BI dashboard with KPIs, trend analysis, regional performance and customer segmentation using DAX measures and data modeling.
  • Implemented a 15-day sales forecasting view to support short-term planning and inventory decisions, integrating visualizations and slicers for user exploration.
  • Created interactive visuals and filters enabling stakeholders to slice by region, product category and time period to derive actionable business insights.

Education

Sri Venkateswara College of Engineering, Tirupati
Bachelor of Technology (Computer Science and Engineering) • Tirupati, Andhra Pradesh • 2021 – 2025
Sri Chaitanya Junior College, Nellore
Intermediate (M.P.C) • Nellore, Andhra Pradesh • 2019 – 2021
Sri Chaitanya High School, Venkatagiri
S.S.C • Venkatagiri, Andhra Pradesh • 2018 – 2019

Certifications

Python Foundation Certification — Infosys Springboard
TATA GenAI Powered Data Analytics Job Simulation — Forage
MySQL Certification — APSCHE
Introduction to Networking — Cisco
Introduction to Cybersecurity — Cisco

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