SUMEET K. GUPTA

FRESHER

Nagpur-******, Maharashtra

899-***-****

TECHNICAL SKILLS

PROFILE SUMMARY

Enthusiastic and skilled data scientist eager to join a dynamic organization that values innovation, teamwork, and continuous learning. Seeking a challenging position where I can leverag emy expertise and proficiency in data science to contribute to the success of projects, enhance organizational growth, and tackle real-world problems with data-driven solutions.

Programming Languages: Python

Databases: MySQL Oracle

Tools: Jupyter notebook Google Collab Spyder PyCharm Tableau Statistics: Inferential & Descriptive statistics Machine Learning:

Supervised ML: Linear Regression Logistic Regression Decision Tree Random Forest

KNearestNeighbors (KNN) Support Vector Machine (SVM) Naive Bayes XGBOOST Unsupervised ML: K-means clustering Hierarchical Clustering DB Scan PCA Deep Learning:

ANN CNN RNN Optimization Techniques Transfer Learning EncodersDecoders Natural Language Processing:

Word Embeddings TFIDF word2Vec Bag of Words Tokenization Stemming Lemmatization Text Summarization Web Scrapping Wordcloud POS Packages:

Pandas NumPy Matplotlib Seaborn Scikit-Learn SciPy NLTK Spacy Tensor Flow Keras PROJECTS

BANK LOAN DEFAULT RISK ANALYSIS

This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (too risky applicants) at a higher interest rate, etc.

This will ensure that the consumers capable of repaying the loan are not rejected. Identification of such applicant’s using EDA is the aim of this case studies Language used: Python, EDA

Libraries used: NumPy, Pandas, Matplotlib, Seaborn. adyjxg@r.postjobfree.com

STUDENT MARKS PREDICTION

This Project aim to predict the mark of student based on their study hours. In this project we can find that the student how many times he studies that he can pass the exam and their percentage.

Languages used: Python, Machine Learning

Task: EDA, Visualization, Missing Value Tratment.

Libraries used: NumPy, Pandas, Seaborn, Sklearn, Flask. HEART DISEASE PREDICTION

This project aims to build a machine learning model to accurately predict which patients have a high risk of heart disease.

Languages used: Python, Machine Learning

Task: EDA, Visualization., Missing Value Treatment. Libraries used: NumPy, Pandas, Seaborn, Sklearn, Flask. EDUCATION

Bachelor of Engineering--Jd College of Engineering and Management-2020 Higher Secondary School (HSC)--C. P and Berar Junior College-2016 Secondary School Certificate (SSC)—Valmiki Nagar Hindi High School-2014 PERSONAL DETAILS

Date of Birth : 03-04-1998

Address : Vermaleyout Hilltop Nagpur - 440033

Languages : English, Hindi, Marathi

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