Aniket Surve Email : adupkx@r.postjobfree.com

Linkedin Mobile : +1-312-***-****

Github

Education

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Jarvis College of Computing and Digital Media, Depaul University Chicago, IL Masters in Data Science Sept 2022 - Present

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Atharva College Of Engineering Mumbai, India

Bachelor of Computer Science; GPA: 3.7 (8.36/10.0) Aug 2018 - Jun 2022 Internship

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The Sparks Foundation Mumbai, India

Data Science Intern Dec 2020 - Jan 2021

Collaborated with multiple developers for the development of a classification based machine learning project using KNN algorithm. Used different libraries such as pandas, scikit learn, NumPy.Used tools like powerBI for creating dashboards for easy understanding of available resources

Academic Projects

• HR recruitment shortlisting: Using the linguistic content of resumes, a model was developed to categorize resumes into job profiles. The resume document is processed using Natural Language Processing (NLP) to extract keywords, keyphrases, and key segments. The following libraries are used: NLTK for natural language processing (NLP), TF-IDF for information retrieval, Pandas for data preparation, Seaborn and Matplotlib for exploratory data analysis (EDA), and NumPy for summary statistics. For model construction and performance assessment, use Scikit Learn. (Feb ’2022)

• Using neural networks to analyze the sentiment of tweets from Twitter: ”The goal of our project is to find the opinionative data from the tweets and classify it according to its polarity, i.e. positive or negative feedback, which is known as sentiment classification. Front-end: BOOTSTRAP, HTML5, and CSS. Python is the backend. The domain of machine learning.( Sep ’2021)

• Classification of Iris Flowers: A classification model based on the K-means algorithm was created. Pandas is used for data preparation, Matplotlib and Seaborn for EDA, NumPy for summary statistics, and Scikit Learn for model development and performance assessment. built a model that was XX percent accurate. (Jan 2021) Paper Publications

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HR Recruitment Shortlisting: Mar 3, 2022

International Research Journal of Engineering and Technology (IRJET)

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Topic Modeling And Summarization: Jan 29, 2022

ICTeam

Technical Skills

• Languages: Python, Java, C++, C, R, SQL

• Key Skills: Machine Learning,Deep learning, Natural Language Processing, Data Mining

• Packages: Numpy, Pandas, Matplotlib, Seaborne, SciPy, Jupyter Notebook, NLTK, R-Studio Certifications

• Introduction to Data Science in Python

• Applied Machine Learning in Python

• Introduction to Scientific Computing using Python

• Python with Data exploration

• C programming

Achievements

• Achieved Consolation prize in ML Hackathon 2019

• Awarded Silver Medal in Science Olympiad Sept 2013

• Awarded Bronze Medal in Science Olympiad Nov 2011