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Jyothsna Darla

Python Backend Developer • India • j**************@gmail.com • +91*******988 • linkedin.com/••••• • jyothsnadarla.github.io/•••••

Professional Summary

Python Backend Developer with 0 years of experience building RESTful APIs and backend services using Python, Flask and Django. Strong foundation in data structures, SQL and ML fundamentals; experienced in designing scalable endpoints, optimizing database queries, and delivering reproducible ML pipelines to support web and data-driven applications.

Technical Skills

Programming Languages: Python,Java,C++,JavaScript
Web Technologies: REST APIs,JSON
Frameworks and Libraries: Flask,Django,HTTP,HTML5,CSS3,Bootstrap,CRUD Operations,scikit-learn,Pandas,NumPy
Databases: SQL,MySQL,MongoDB,SQLite
Cloud and DevOps: Docker,Jupyter Notebook
Data and Analytics: NLP,TF-IDF,Random Forest,LLM Fundamentals
Tools and Methodologies: Git,GitHub,Postman,VS Code
Core Concepts: Object-Oriented Programming,Data Structures and Algorithms,DBMS,Operating Systems,Networking TCP,IP, DNS,SDLC,Debugging

Work Experience

CoderBot Robotech Pvt.Ltd.
India
Python Backend Developer Intern
Sep 2025 – Dec 2025
Developed Django-based backend services and REST APIs for CoderBot Robotech's web applications supporting robotics and automation solutions.
Tech Stack: Python, Django, MySQL, Git, GitHub, Postman
  • Designed and implemented RESTful APIs using Django and Python to serve web application endpoints, improving data retrieval efficiency by 25% through streamlined business logic.
  • Collaborated in Agile sprints with Git/GitHub for code review and CI-friendly integration, reducing production bugs reported during deployment cycles by 15%.
  • Optimized MySQL queries and added appropriate indexing, reducing average query execution time and improving API response performance for backend services.
  • Implemented request validation, structured error handling, and centralized logging to increase API reliability and simplify debugging during development.
  • Created Postman collections and unit/integration test cases for core endpoints, accelerating QA cycles and catching regressions earlier in the pipeline.
  • Authored README and endpoint documentation to support handover and faster onboarding for front-end and QA teams.
SmartBridge
India
AI/ML Intern
Jan 2026 – Apr 2026
Built machine learning models and data pipelines for renewable energy forecasting, focusing on wind energy prediction using scikit-learn and Python.
Tech Stack: Python, scikit-learn, Pandas, NumPy, Jupyter Notebook, Git
  • Developed a Random Forest-based Wind Energy Prediction model using scikit-learn, applying feature engineering to improve prediction performance on historical weather datasets.
  • Constructed reproducible data preprocessing pipelines with Pandas and NumPy, reducing data cleaning time by 30% for large environmental datasets.
  • Performed model evaluation with cross-validation and hyperparameter tuning to improve robustness and decrease overfitting on validation sets.
  • Prepared reproducible Jupyter notebooks and organized model inference scripts to facilitate handover and downstream deployment activities.
  • Collaborated with peers using Git for version control of datasets and model code, and documented end-to-end evaluation processes for maintainability.
  • Visualized feature importance and error distributions to drive iterative feature selection and communicate model behavior to stakeholders.

Projects

Traffic Flow Prediction using NLP | 2025 – 2025
Tools Used: Python, Flask, scikit-learn, NLP, TF-IDF, Random Forest, OpenStreetMap APIs, Folium, SQLite
  • Developed a Flask web application that predicts traffic flow using NLP techniques (TF-IDF) and Random Forest models to analyze traffic-related text and historical data.
  • Integrated OpenStreetMap (Nominatim) APIs and Folium to retrieve geospatial data and visualize predictions on interactive maps for user queries.
  • Automated data preprocessing and prediction pipelines, reducing end-to-end processing time by 25% through batch transforms and caching.
  • Optimized SQLite queries and data access patterns, improving historical traffic lookup responsiveness by 20% for the application.
News Portal Project | 2025 – 2025
Tools Used: Python, Django, SQLite, HTML5, CSS3, Bootstrap
  • Implemented a full-stack News Portal using Django's MVT architecture with SQLite for content storage and management.
  • Built user authentication and role-based access control to support administrators, authors, and readers with secure content workflows.
  • Improved Django ORM queries and indexing strategies to reduce article retrieval time by ~20% for common listing and search operations.
  • Developed a responsive Bootstrap-based UI to ensure consistent access across desktop and mobile devices.

Education

Sri vasavi Institute of Technology
Bachelor of Technology (B.Tech), CGPA: 8.42 / 10 • 2026

Certifications

Microsoft Certified: Azure Fundamentals (AZ-900) — Microsoft
Data Structures and Algorithms Certification — NPTEL

Achievements

  • Solved 800+ coding problems: Solved 800+ problems across LeetCode and CodeChef, demonstrating strong problem-solving and DSA practice.
  • Research paper accepted at ICCIC 2025 — 2025: Paper accepted on technical innovations in Computer Science.
  • Top 2 - College coding challenge: Ranked among the Top 2 participants in a college-level coding competition.

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