Chavali Murahari

Contact: 824-***-****

E-Mail: adz69x@r.postjobfree.com

LinkedIn: https://www.linkedin.com/in/murahari-chavali-368219183/

https://www.hackerrank.com/chavali_murahari

https://github.com/none012

I am seeking opportunities to join a company that can help in enhancing my skills, strengthening my knowledge and realizing my potential. I am willing a wide variety of opportunities that can help me gain perspective. modelling and data visualization.

• Python • Machine learning • Statistics • EDA • Java (OOP concepts)

Python - Developed various regression and classification models of ML using pandas, Numpy, Scikit-learn, pyspark etc., and visualization using Seaborn and Matplotlib libraries.

Statistics and Mathematics - Strong knowledge on Descriptive statistics, Inferential statistics, Probability, ANOVA, Chi-Square test, t-test, z-test, p-value, SI (Significant level), Hypothesis test, Sampling, Data distributions, Linear algebra.

Machine Learning and AI – Strong knowledge of various ML regression and classification algorithms such as Linear and logistic regression, Gradient descent, Decision tree, Random forest, SVM, Naive Bayes, KNN, XGBoost, Lasso and Ridge regression, Hyper parameter tuning and performance technique such as Confusion matrix, AUC and ROC, IG, Gini, CI, ANOVA, RMSE. and also have knowledge on validating the model by Cross Validation.

SQL -Strong database management and query writing skills in SQL and Access. Statements and clauses, Entity and attribute relationships, Joins, views, pivot and un-pivot, case and when statement, ranking and row order and store procedures etc.

NLP: Tokenization, Bag of words, Stemming, Lemmatization, POS Tagging, Stopwords, Vectorisation, TFIDF using SPACY, NLTK

PROJECT: XML Scraping and Data Clustering for Article Analysis

OVERVIEW: In this age of information abundance, extracting valuable insights from vast amounts of unstructured data is crucial. The project "XML Scraping and Data Clustering for Article Analysis" aims to harness the power of data science to extract meaningful information from multiple XML articles, cluster this data into distinct groups, and visualize the findings through a word cloud.

Technologies Used: Python, EDA, Data Visualization, Data Cleaning

Libraries Used: Pandas, Numpy, Seaborn, Matplotlib, re, nltk, xml, string, Unicode data, bs4

PROJECT: Bank Loan Default Risk Analysis

OVERVIEW: This project aims to develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

Technologies Used: Python, Regression Models, Flask

Libraries Used: Pandas, Numpy, Matplotlib, flask

• B. Tech (Electrical and Electronic Engineering) KKR & KSR Institute of Technology and Sciences from 2020 to 2023 with CGPA (7.2 CGPA)

• Diploma in MBTS Government Polytechnic College 2020 with 81.6%

• SSC from in Santhan high school, Guntur 2017 with 9.0 GPA

• Attended basics of Python Skill improvement program by APSSDC

• Attended IOT on Mad blocks workshop

• Certified by IBM for python data science

Date of birth :12 Jan 2001.

Gender : Male

Languages Known : English, Telugu & Hindi

Interests : watching Udemy courses and anime series

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