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ALUGOLU SAI SRI CHANDANA

Data Scientist • Vizianagaram, Andhra Pradesh, India • s************@gmail.com • +91*******424 • drivetube.ai/•••••

Professional Summary

Data Scientist with 0.7 years of experience applying Python, SQL, and ML techniques to build data pipelines, dashboards, and recommendation models. Experienced in EDA, feature engineering, model evaluation, and delivering actionable visualizations to support business decisions.

Technical Skills

Programming Languages: Python
Frameworks and Libraries: NumPy,Pandas,Scikit-learn,Matplotlib,Seaborn,Tkinter
Databases: SQL,MySQL
Data and Analytics: Supervised Learning,Unsupervised Learning,Content-based Recommendation,Feature Engineering,Model Evaluation,TF-IDF,Cosine Similarity,Power BI,Interactive Dashboards,Exploratory Data Analysis,Data Cleaning,Data Wrangling,Statistical Analysis,ETL Automation
Tools and Methodologies: Jupyter Notebook,Google Colab,PyCharm,Visual Studio Code,MS Excel
Other: Speech Recognition,Text-to-Speech

Work Experience

SyntecxHub
Remote
Machine Learning Intern
Feb 2026 – Mar 2026
Worked on machine-learning solutions for large-scale movie recommendation using content features and similarity-based models.
Tech Stack: Python, scikit-learn, Pandas, NumPy, TF-IDF, Cosine Similarity, Matplotlib, Seaborn, Jupyter Notebook, Google Colab
  • Built a content-based movie recommendation pipeline on a 500,000+ movie dataset using TF-IDF feature extraction and cosine similarity implemented with scikit-learn and Pandas.
  • Executed end-to-end ML workflow: data preprocessing, feature engineering, model training and cross-validation using Python, NumPy, and scikit-learn, achieving 88% accuracy on the evaluation split.
  • Packaged preprocessing and feature-extraction functions into reusable modules to standardize inputs and accelerate model retraining across experiments.
  • Created visualizations to explain recommendation outputs and patterns using Matplotlib and Seaborn; integrated dashboard visualizations to communicate results to stakeholders.
  • Conducted error analysis and iterative feature refinement focusing on metadata (genres, tags, descriptions) to improve recommendation relevance and content coverage.
  • Documented model approach and delivered reproducible Jupyter/Colab notebooks for team handoff and future enhancement.
Elevate Labs
Remote
Data Analyst Intern
Sep 2025 – Nov 2025
Supported retail analytics by preparing transaction datasets and building interactive dashboards to surface customer and product insights.
Tech Stack: Python, Pandas, SQL, MySQL, Power BI, MS Excel, Jupyter Notebook
  • Cleaned and processed 500,000+ retail transaction records using Pandas; resolved missing values, normalized fields, and standardized timestamps to create an analysis-ready dataset.
  • Wrote and optimized 15+ SQL queries on MySQL to extract cohorts, sales summaries, and customer segments for downstream reporting and analysis.
  • Designed and published interactive Power BI dashboards showing KPIs, customer trends, top products, and time-series sales insights to support business decisions.
  • Automated data preparation workflows combining Python and SQL to refresh dataset extracts feeding dashboards and reduce manual effort in monthly reporting.
  • Performed exploratory data analysis and statistical summaries to identify top customer segments, peak sales windows, and product performance drivers.
  • Prepared documentation and presented dashboard findings to stakeholders to enable faster, data-driven decision-making by non-technical users.
Codingmissions IT Solutions
Remote
Python Programming Intern
Jan 2025 – Mar 2025
Completed programming assignments and mini-projects to strengthen Python fundamentals, scripting, and GUI application development.
Tech Stack: Python, Tkinter, Speech recognition, Text-to-Speech, PyCharm, Visual Studio Code, Jupyter Notebook
  • Developed modular Python scripts and small applications to automate tasks and demonstrate efficient programming patterns and code reuse.
  • Built GUI applications using Tkinter, including a voice/text-controlled assistant integrating speech recognition and text-to-speech capabilities for automation demos.
  • Followed code organization and version control practices to produce maintainable modules and accelerate team handoffs.
  • Employed systematic debugging and logging to identify and fix runtime issues, improving script reliability during demonstrations.
  • Documented code with clear inline comments and READMEs to support reuse and simplify onboarding for reviewers.
  • Completed targeted coding exercises to improve algorithmic thinking and applied those solutions in mini-project feature implementations.

Projects

Movie Recommendation System
Tools Used: Python, scikit-learn, Pandas, TF-IDF, Cosine Similarity, Jupyter Notebook
  • Built a content-based movie recommendation system using TF-IDF feature extraction and cosine similarity on a 500,000+ entry dataset.
  • Implemented end-to-end pipeline from preprocessing and feature extraction to model evaluation and recommendation generation using scikit-learn.
  • Achieved 88% accuracy on the evaluation split and produced visual recommendation outputs to explain results based on user preference vectors.
Online Retail Sales Analysis
Tools Used: Python, Pandas, SQL, Power BI, MS Excel, MySQL
  • Cleaned and processed 500K+ transaction records with Pandas and MySQL to produce an analysis-ready dataset.
  • Solved 15+ SQL queries to extract sales summaries, customer segments, and trend indicators for reporting.
  • Built an interactive Power BI dashboard surfacing KPIs, top customers/products, and sales trends for business stakeholders.
Python Voice/Text-Controlled Assistant
Tools Used: Python, Tkinter, Speech recognition, Text-to-Speech
  • Developed a Tkinter GUI voice assistant integrating speech recognition and text-to-speech to automate basic desktop tasks.
  • Implemented modular handlers for voice commands and text inputs, enabling extensible automation features and easy feature additions.

Education

JNTU-GV College of Engineering, Vizianagaram
B.Tech – Electronics & Communication Engineering (Minor: Computer Science Engineering) • Vizianagaram, Andhra Pradesh, India • Dec 2021 – May 2025
Sri Gayatri Jr College, Visakhapatnam
Intermediate (MPC) • Visakhapatnam, Andhra Pradesh, India • Jul 2019 – May 2021

Certifications

Python Programming
Data Science with AI Training — Quality Thoughts Institute • Sep 2025 – Apr 2026
HackerRank SQL (Basic) Certification — HackerRank

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