Atharvaa Rane

Experience

• 

  Vidyalankar Institute of Technology, Mumbai

  Jul 2021 - Sept 2021

  Web Developer

  Lead the team for front-end developing a responsive website for food delivery, made it user friendly by adding easy navigation labels, responsive to mobile and desktop screen, adding a customer service chatbot for smoother customer query.

• 

  Verzeo

  Apr 2022 - Jun 2022

  Machine Learning Intern

  Developed a sophisticated book recommendation system using the k-nearest neighbors (kNN) algorithm to analyze user ratings and identify patterns. The system provided personalized book recommendations by finding the k-most similar users, enhancing user satisfaction and engagement. • Technologies Used: Python, Pandas, NumPy, Scikit-learn • Key Contributions and Impact: • Enhanced User Experience and Engagement: Improved user satisfaction and retention by offering tailored book suggestions, increasing time spent on the platform and the number of books read. • Business Impact: Provided data-driven insights into user behavior, aiding in marketing strategies and inventory management. Contributed to higher conversion rates and revenue growth through personalized recommendations, while ensuring scalability and efficiency with robust data processing libraries. Show less

• 

  Bureau Of Police Research And Development

  Apr 2022 - Jun 2022

  Web Developer

  -Developed a responsive website for BPRD, stating few features to improve design and user experience of existing website such as Responsiveness for Tab screen, Page Management, highlighting important contents(Pop-up Design), improved navigation, etc-Shortlisted as Top 5 finalist all over India

• 

  Code Verse Pvt Ltd

  Jun 2022 - Aug 2023

  Machine Learning Intern

  As a Machine Learning Intern at Code Verse, I had the opportunity to work on real-world AI-driven applications, optimizing data pipelines, improving model accuracy, and enhancing system efficiency. Throughout my internship, I:- Built and optimized machine learning models to improve predictive accuracy by 30%, leveraging techniques such as hyperparameter tuning, feature engineering, and cross-validation.- Worked on data pipeline automation, streamlining ETL workflows to reduce manual effort by 40%. This experience taught me how to efficiently transform raw data into structured datasets for model training.- Optimized SQL queries by implementing indexing, partitioning, and query restructuring, which improved execution speed by 25%, enabling faster data retrieval and real-time analytics.- Collaborated with senior engineers to enhance data ingestion, successfully accelerating processing speed by 40% through better workflow design and automation.- Explored various evaluation metrics such as AUC-ROC, precision-recall, and confusion matrices, gaining hands-on experience in assessing model performance and fine-tuning for better results.- Tech Stack: Python (Pandas, Scikit-learn, TensorFlow), SQL, ETL Pipelines, Power BI, GitThis internship was an incredible learning experience, allowing me to apply my theoretical knowledge to practical challenges. I gained hands-on exposure to machine learning, data engineering, and analytics, while refining my problem-solving skills in a fast-paced environment. Show less

• 

  IConsult Collaborative at Syracuse University

  Jul 2024 - now

  Data Analyst

  • Designed and implemented automated data pipeline using SQL and Python, reducing manual processing time by 40%.• Developed interactive Power BI dashboards for tracking contract compliance and risk assessment, improving reporting accuracy by 25%.• Extracted, cleaned, and analyzed 1M+ records from structured and unstructured datasets for data-driven decision-making.• Optimize SQL queries, improving query performance by 30%, allowing for faster data retrieval and processing.• Automate reporting workflows using Python scripts, reducing repetitive tasks and ensuring real-time insights for stakeholders.• Collaborate with business and engineering teams to develop data models that improve contract risk assessment, ensuring greater transparency and compliance. Show less

• 

  Toyz Electronics, Inc

  Sept 2024 - Dec 2024

  Data Engineer & AI/ML Developer Intern

  • Developed AI/ML-integrated features for Varsity Ed-Tech app, impacting 10,000+ users with gamified learning.• Enhanced user engagement by 20% through cultural representation and real-world digital twins.• Optimized data processing pipelines for real-time learning recommendations.• Designed GraphQL APIs to streamline AI-driven content recommendations, enhancing platform scalability.