An aspiring Data Scientist and AI/ML Engineer with a Bachelor of Technology in Computer Engineering, specializing in developing and optimizing machine learning models, advanced data analysis, and interactive data visualizations. Proven ability to achieve high model accuracy (up to 95%) and improve operational efficiency by 20% through robust data pipelines and hyperparameter tuning. Eager to leverage strong analytical skills and a comprehensive understanding of AI/ML principles to drive data-driven insights and innovative solutions in a dynamic tech environment.
Data Scientist Intern
Pune, Maharashtra, India
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Summary
As a Data Scientist Intern, I developed and optimized machine learning models for client projects, contributing to precise revenue attribution and efficient data pipeline design in a remote environment.
Highlights
Developed and optimized robust machine learning models, including Decision Tree, XGBoost, and Random Forest, achieving 95% test accuracy for diverse client projects.
Implemented Logistic Regression and Multiple Linear Regression models to accurately attribute client revenue and conversions with a consistent 95% accuracy.
Collaborated cross-functionally with development teams and stakeholders to gather business requirements, preprocess data, and deliver tailored AI solutions.
Reduced model training time by 20% through strategic hyperparameter tuning and efficient data pipeline design, enhancing operational efficiency.
Data Scientist Trainee
Pune, Maharashtra, India
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Summary
As a Data Scientist Trainee, I developed practical skills in machine learning, data analysis, and interactive visualization techniques to prepare for industry roles.
Highlights
Conducted comprehensive Feature Engineering, Exploratory Data Analysis (EDA), and Data Visualization using Python libraries (Pandas, NumPy, Matplotlib, Seaborn) to prepare datasets for model development.
Built and evaluated various machine learning models, encompassing Supervised, Unsupervised, and Reinforcement Learning algorithms, demonstrating foundational ML expertise.
Developed interactive dashboards using Power BI and Tableau, transforming complex datasets into real-time, actionable data insights.
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Bachelor of Technology
Computer Engineering
Grade: 7.81/10 CGPA
Courses
Introduction to Programming
Discrete Mathematics
Computer Systems and Architecture
Database Management Systems
Operating Systems
Software Engineering
Computer Networks
Data Structures and Algorithms
Programming Languages
Artificial Intelligence
Deep Learning
Data Analysis
Data Science
Compiler Design
Advanced Topics in Computer Science
Capstone Project or Thesis
Issued By
Nasscom
Issued By
IABAC
Issued By
IBM Developer skills
Issued By
TCS
Issued By
INDIAN INSTITUTE OF TECHNOLOGY, MADRAS
Python, Django, SQL, C, C++.
Scikit-learn, Keras, TensorFlow, Pytorch, NLP, Deep Learning, Large Language Models (LLMs), Generative AI.
NumPy, Pandas.
Matplotlib, Seaborn, Microsoft Power BI, Tableau, MS Excel.
MySQL, MongoDB.
Git, GitHub.
AWS, Azure.
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Summary
Developed a robust system leveraging Natural Language Processing and the Naive Bayes algorithm to identify fraudulent applications before user downloads, enhancing app ecosystem integrity and user safety.
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Summary
Created a high-accuracy predictive model using Artificial Neural Networks to forecast employee performance ratings from dataset features, providing data-driven insights for HR and management.
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Summary
Designed and developed an interactive sales dashboard for a superstore using Power BI and Tableau, providing key insights into regional profits, sales trends, and product category performance to support strategic business planning.