Aniket Bankar

Machine Learning Engineer

C 12 damodar nagar sinhagad road, 411051, Pune, IN.

About

Highly motivated Machine Learning Engineer with a strong foundation in deep learning, natural language processing, and data analysis. Proven ability to develop and deploy end-to-end ML models, including predictive systems and recommender engines, and build intuitive web applications. Eager to apply technical expertise and problem-solving skills to drive innovative solutions in a dynamic environment.

Work

Cognifyz Technologies

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Machine Learning Intern

Nagpur, Maharashtra, India

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Summary

Developed and implemented machine learning models and recommender systems to analyze and predict restaurant data.

Highlights

Developed a machine learning model to predict restaurant ratings based on diverse features including cuisines, locations, and average prices, enhancing prediction accuracy.

Conducted comprehensive exploratory data analysis (EDA) on restaurant datasets, identifying key trends and patterns to inform strategic model development.

Implemented a content-based restaurant recommender system, improving user experience by providing personalized dining suggestions.

Education

PES Modern College Of Engineering

Pune, Maharashtra, India
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Bachelor of Engineering Engineering Grade: CGPA 7.7

Sinhagad Spring Dale High School

Pune, Maharashtra, India
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High School Diploma High School Grade: 92.6 Percent

Languages

English

Hindi

Marathi

Skills

Programming Languages

Python, C++, SQL, MySQL, HTML, CSS.

Frameworks

Flask, PyTorch, TensorFlow, Streamlit.

Developer Tools

Git, Docker.

Libraries

Pandas, NumPy, Matplotlib, Scikit-Learn, NLTK, Optuna, ResNet50, LSTM, Word2Vec.

Machine Learning

Deep Learning, Natural Language Processing (NLP), Recommender Systems, Transfer Learning, Hyperparameter Tuning, Time Series Forecasting, Data Preprocessing, Feature Engineering, Model Deployment.

Data Analysis

Exploratory Data Analysis, Data Visualization.

Projects

Car Damage Detection

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Summary

Developed a deep learning model and web application for classifying car damage types from images.

Movie Recommender System

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Summary

Developed a content-based movie recommender system leveraging metadata from TMDB.

Resume Scanner

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Summary

Developed a Flask web application for uploading resumes and matching them with job descriptions using NLP.

Amazon Stock Price Forecasting

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Summary

Developed an LSTM-based deep learning model to forecast Amazon stock prices.