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+919*********, +917********* ***.*****@*****.*** / *****.*****@*****.*** VIJAYAWADA

https://www.linkedin.com/in/sai-sri-vidyadhari-a-596a481a6/ Data Scientist/Data Analyst

OBJECTIVE

Recent graduate student with a PGD degree in Artificial Intelligence & Machine Learning, bringing statistical and predictive analytics approach to work within a wide range of data environments. Looking to apply practical data science experience, to increase data extraction efficiency and accuracy.

KEY SKILLS:

Python, Numpy, Pandas, Machine Learning, Natural Language Processing, Excel, Word, Powerpoint, C-Language, Tableau, AUTO-CAD, Teaching, Data Mining, Research assistance EDUCATION

Post Graduation Diploma in AI & ML Jan '21 - Jan '22 NITW

I have completed my P.G .D with a 3.75 GPA out of 4. M.Tech ( Structures ) Aug '16 - Jun '18

K L University

I have completed my P.G with a 9.55 CGPA "First class with Distinction". B.Tech ( CIVIL ) Aug '12 - Jun '16

P V P Siddhartha Institute of Technology,Autonomous (JNTUK) I have completed my U.G with an 8.66 CGPA "First class with Distinction". PROJECTS

. EDA (Exploratory Data Analysis): Data cleaning, filling missing values, univariate & bivariate visualization, Machine Learning Modeling: Hot encoding, correlation, finding accuracy & scores, Appyin various ML algorithms. Missing values, Feature Engineering, Outliers analysis, Correlation Analysis, Data Visualization (histograms), Fit various models, Performing Hyperparameter tuning on the best model. CERTIFICATION

PROFESSIONAL EXPERIENCE

Assistant Professor Jul '18 - Nov '20

PPSCMR and MIC College of Engineering & Technology Responsibilities: Teaching, Research assistance, Counselling Estimator Jul '16 - Feb '20

Private company (Part-time)

Responsibilities: Estimations, Document verification, Site visit Vaddeswaram, Guntur

Vijayawada

Vijayawada

Vijayawada

A.SAI SRI VIDYADHARI

Machine Learning Model to predict whether an owner will initiate an auto insurance claim in the next year. Market basket analysis on the Retail dataset by applying the Apriori algorithm and association rules using appropriate parameters.

The objective is to diagnostically predict whether a patient is diabetic or not, based on diagnostic measurements included in the dataset of the National Institute of Diabetes and Digestive and Kidney Diseases & creating a classification model Algorithm. Building a tic-tac-toe game classification algorithm using the concept of supervised machine learning. Analyze the Cab data to forecast cab booking demand in a city. Participated in AI For All program & completed the AI Appreciate stage on 27th Dec 2021, conducted by Intel & Digital India. Participated in AI For All program & completed the AI Aware stage on 25th Dec 2021, conducted by Intel & Digital India. Attended "Machine Learning Master class" conducted by APSSDC & pantech Prolabs India Pvt, Ltd from 7th to 11th Jun 2021. Attended "10 days webinar series on AI Master class" conducted by APSSDC & pantech Prolabs India Pvt, Ltd from 5th to 14th Oct 2020.

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